Relevant bibliographies by topics / CUDA FRAMEWORK

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CUDA FRAMEWORK'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "CUDA FRAMEWORK"

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Trujillo, Leonardo, Jose Manuel Muñoz Contreras, Daniel E. Hernandez, Mauro Castelli, and Juan J. Tapia. "GSGP-CUDA — A CUDA framework for Geometric Semantic Genetic Programming." SoftwareX 18 (June 2022): 101085. http://dx.doi.org/10.1016/j.softx.2022.101085.

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Rosenberg, Duane, Pablo D. Mininni, Raghu Reddy, and Annick Pouquet. "GPU Parallelization of a Hybrid Pseudospectral Geophysical Turbulence Framework Using CUDA." Atmosphere 11, no. 2 (February 8, 2020): 178. http://dx.doi.org/10.3390/atmos11020178.

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An existing hybrid MPI-OpenMP scheme is augmented with a CUDA-based fine grain parallelization approach for multidimensional distributed Fourier transforms, in a well-characterized pseudospectral fluid turbulence code. Basics of the hybrid scheme are reviewed, and heuristics provided to show a potential benefit of the CUDA implementation. The method draws heavily on the CUDA runtime library to handle memory management and on the cuFFT library for computing local FFTs. The manner in which the interfaces to these libraries are constructed, and ISO bindings utilized to facilitate platform portability, are discussed. CUDA streams are implemented to overlap data transfer with cuFFT computation. Testing with a baseline solver demonstrated significant aggregate speed-up over the hybrid MPI-OpenMP solver by offloading to GPUs on an NVLink-based test system. While the batch streamed approach provided little benefit with NVLink, we saw a performance gain of 30 % when tuned for the optimal number of streams on a PCIe-based system. It was found that strong GPU scaling is nearly ideal, in all cases. Profiling of the CUDA kernels shows that the transform computation achieves 15% of the attainable peak FlOp-rate based on a roofline model for the system. In addition to speed-up measurements for the fiducial solver, we also considered several other solvers with different numbers of transform operations and found that aggregate speed-ups are nearly constant for all solvers.
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Wang, Fan, Xiao Jiang, and Xiao Peng Hu. "A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/692921.

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This paper presents a parallel TBB-CUDA implementation for the acceleration of single-Gaussian distribution model, which is effective for background removal in the video-based fire detection system. In this framework, TBB mainly deals with initializing work of the estimated Gaussian model running on CPU, and CUDA performs background removal and adaption of the model running on GPU. This implementation can exploit the combined computation power of TBB-CUDA, which can be applied to the real-time environment. Over 220 video sequences are utilized in the experiments. The experimental results illustrate that TBB+CUDA can achieve a higher speedup than both TBB and CUDA. The proposed framework can effectively overcome the disadvantages of limited memory bandwidth and few execution units of CPU, and it reduces data transfer latency and memory latency between CPU and GPU.
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Bi, Yujiang, Yi Xiao, WeiYi Guo, Ming Gong, Peng Sun, Shun Xu, and Yi-bo Yang. "Lattice QCD GPU Inverters on ROCm Platform." EPJ Web of Conferences 245 (2020): 09008. http://dx.doi.org/10.1051/epjconf/202024509008.

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The open source ROCm/HIP platform for GPU computing provides a uniform framework to support both the NVIDIA and AMD GPUs, and also the possibility to porting the CUDA code to the HIP-compatible one. We present the porting progress on the Overlap fermion inverter (GWU-code) and also the general Lattice QCD inverter package - QUDA. The manual of using QUDA on HIP and also the tips of porting general CUDA code into the HIP framework are also provided.
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Peng, Bo, Junliang Lai, Yang Wang, Ling Wang, and Dong C. Liu. "CUDA-Based Parallel Computation Framework for Phase Root Seeking Algorithm." Journal of Medical Imaging and Health Informatics 4, no. 6 (December 1, 2014): 922–31. http://dx.doi.org/10.1166/jmihi.2014.1343.

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Ahmed, Rafid, Md Sazzadul Islam, and Jia Uddin. "Optimizing Apple Lossless Audio Codec Algorithm using NVIDIA CUDA Architecture." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 1 (February 1, 2018): 70. http://dx.doi.org/10.11591/ijece.v8i1.pp70-75.

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As majority of the compression algorithms are implementations for CPU architecture, the primary focus of our work was to exploit the opportunities of GPU parallelism in audio compression. This paper presents an implementation of Apple Lossless Audio Codec (ALAC) algorithm by using NVIDIA GPUs Compute Unified Device Architecture (CUDA) Framework. The core idea was to identify the areas where data parallelism could be applied and parallel programming model CUDA could be used to execute the identified parallel components on Single Instruction Multiple Thread (SIMT) model of CUDA. The dataset was retrieved from European Broadcasting Union, Sound Quality Assessment Material (SQAM). Faster execution of the algorithm led to execution time reduction when applied to audio coding for large audios. This paper also presents the reduction of power usage due to running the parallel components on GPU. Experimental results reveal that we achieve about 80-90% speedup through CUDA on the identified components over its CPU implementation while saving CPU power consumption.
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Michailidis, P. D., and K. G. Margaritis. "Accelerating kernel density estimation on the GPU using the CUDA framework." Applied Mathematical Sciences 7 (2013): 1447–76. http://dx.doi.org/10.12988/ams.2013.13133.

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Bruel, Pedro, Marcos Amarís, and Alfredo Goldman. "Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework." Concurrency and Computation: Practice and Experience 29, no. 22 (March 6, 2017): e3973. http://dx.doi.org/10.1002/cpe.3973.

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Hadji-Kyriacou, Avelina, and Ognjen Arandjelović. "Raymarching Distance Fields with CUDA." Electronics 10, no. 22 (November 9, 2021): 2730. http://dx.doi.org/10.3390/electronics10222730.

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Raymarching is a technique for rendering implicit surfaces using signed distance fields. It has been known and used since the 1980s for rendering fractals and CSG (constructive solid geometry) surfaces, but has rarely been used for commercial rendering applications such as film and 3D games. Raymarching was first used for photorealistic rendering in the mid 2000s by demoscene developers and hobbyist graphics programmers, receiving little to no attention from the academic community and professional graphics engineers. In the present work, we explain why the use of Simple and Fast Multimedia Library (SFML) by nearly all existing approaches leads to a number of inefficiencies, and hence set out to develop a CUDA oriented approach instead. We next show that the usual data handling pipeline leads to further unnecessary data flow overheads and therefore propose a novel pipeline structure that eliminates much of redundancy in the manner in which data are processed and passed. We proceed to introduce a series of data structures which were designed with the specific aim of exploiting the pipeline’s strengths in terms of efficiency while achieving a high degree of photorealism, as well as the accompanying models and optimizations that ultimately result in an engine which is capable of photorealistic and real-time rendering on complex scenes and arbitrary objects. Lastly, the effectiveness of our framework is demonstrated in a series of experiments which compare our engine both in terms of visual fidelity and computational efficiency with the leading commercial and open source solutions, namely Unreal Engine and Blender.
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Lee, Seongjae, and Taehyoun Kim. "Parallel Dislocation Model Implementation for Earthquake Source Parameter Estimation on Multi-Threaded GPU." Applied Sciences 11, no. 20 (October 11, 2021): 9434. http://dx.doi.org/10.3390/app11209434.

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Graphics processing units (GPUs) have been in the spotlight in various fields because they can process a massive amount of computation at a relatively low price. This research proposes a performance acceleration framework applied to Monte Carlo method-based earthquake source parameter estimation using multi-threaded compute unified device architecture (CUDA) GPU. The Monte Carlo method takes an exhaustive computational burden because iterative nonlinear optimization is performed more than 1000 times. To alleviate this problem, we parallelize the rectangular dislocation model, i.e., the Okada model, since the model consists of independent point-wise computations and takes up most of the time in the nonlinear optimization. Adjusting the degree of common subexpression elimination, thread block size, and constant caching, we obtained the best CUDA optimization configuration that achieves 134.94×, 14.00×, and 2.99× speedups over sequential CPU, 16-threads CPU, and baseline CUDA GPU implementation from the 1000×1000 mesh size, respectively. Then, we evaluated the performance and correctness of four different line search algorithms for the limited memory Broyden–Fletcher–Goldfarb–Shanno with boundaries (L-BFGS-B) optimization in the real earthquake dataset. The results demonstrated Armijo line search to be the most efficient one among the algorithms. The visualization results with the best-fit parameters finally derived by the proposed framework confirm that our framework also approximates the earthquake source parameters with an excellent agreement with the geodetic data, i.e., at most 0.5 cm root-mean-square-error (RMSE) of residual displacement.
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Dissertations / Theses on the topic "CUDA FRAMEWORK"

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Dworaczyk, Wiltshire Austin Aaron. "CUDA ENHANCED FILTERING IN A PIPELINED VIDEO PROCESSING FRAMEWORK." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1072.

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The processing of digital video has long been a significant computational task for modern x86 processors. With every video frame composed of one to three planes, each consisting of a two-dimensional array of pixel data, and a video clip comprising of thousands of such frames, the sheer volume of data is significant. With the introduction of new high definition video formats such as 4K or stereoscopic 3D, the volume of uncompressed frame data is growing ever larger. Modern CPUs offer performance enhancements for processing digital video through SIMD instructions such as SSE2 or AVX. However, even with these instruction sets, CPUs are limited by their inherently sequential design, and can only operate on a handful of bytes in parallel. Even processors with a multitude of cores only execute on an elementary level of parallelism. GPUs provide an alternative, massively parallel architecture. GPUs differ from CPUs by providing thousands of throughput-oriented cores, instead of a maximum of tens of generalized “good enough at everything” x86 cores. The GPU’s throughput-oriented cores are far more adept at handling large arrays of pixel data, as many video filtering operations can be performed independently. This computational independence allows for pixel processing to scale across hun- dreds or even thousands of device cores. This thesis explores the utilization of GPUs for video processing, and evaluates the advantages and caveats of porting the modern video filtering framework, Vapoursynth, over to running entirely on the GPU. Compute heavy GPU-enabled video processing results in up to a 108% speedup over an SSE2-optimized, multithreaded CPU implementation.
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Karlsson, Per. "A GPU-based framework for efficient image processing." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112093.

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This thesis tries to answer how to design a framework for image processing on the GPU, supporting the common environments OpenGL GLSL, OpenCL and CUDA. An generalized view of GPU image processing is presented. The framework is called gpuip and is implemented in C++ but also wrapped with Python-bindings. The framework is cross-platform and works for Windows, Mac OSX and Unix operating systems. The thesis also involves the work of creating two executable programs that uses the gpuip-framework. One of the programs has a graphical user interface and the other program is command-line only. Both programs are developed in Python. Performance tests are created to compare the GPU environments against a single core CPU implementation. All the GPU implementations in the gpuip-framework are significantly faster than the CPU when executing the presented test-cases. On average, the framework is two magnitudes faster than the single core CPU.
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Giordano, Andrea. "Sviluppo di una simulazione ad agenti di un modello di infezione virale tramite il framework FLAME GPU." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15755/.

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Tesi sullo sviluppo di una simulazione ad agenti di nella quale un virus infetta la popolazione. Questa simulazione è stata sviluppata mediante l'uso di FLAME GPU, un framework che permette di creare simulazioni ad agenti con codice CUDA, per eseguirle sulla GPU. L'interesse primario di questa tesi è quello di verificare le prestazioni che si possono ottenere con questo framework, all'aumentare della popolazione. Inoltre viene verificata la differenza tra due diversi tipi di implementazione della stessa simulazione, sempre con l'utilizzo di FLAME GPU, per paragonare i tempi ottenuti. Vengono infine discussi i risultati, spiegando le differenze tra le due differenti implementazioni.
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Fabian, Xavier. "Precision measurements in the weak interaction framework: development of realistic simulations for the LPCTrap device installed at GANIL." Caen, 2015. http://hal.in2p3.fr/tel-01288412.

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Cette thèse s'inscrit dans l'effort déployé pour mesurer le paramètre de corrélation angulaire bêta-neutrino aβν dans trois décroissances bêta nucléaires (6He+, 35Ar+ et 19Ne+). La structure V-A de l'interaction faible prévoit que aβν = +1 pour les transitions de Fermi pures et aβν = -1/3 pour les transitions de Gamow-Teller pure. Une mesure fine de ce paramètre pour tester un écart à ces valeurs peut révéler l'existence de courants exotiques. Par ailleurs, la mesure de ce paramètre dans le cas de transitions mirroirs permet d'extraire le premier élément de la matrice de Cabibbo-Kobayashi-Maskawa (CKM), Vud. Le dispositif LPCTrap, installé au GANIL, est conçu pour préparer un faisceau continu d'ions à l'injection dans un piège de Paul dédié. Ce dernier permet de disposer d'une source quasi-ponctuelle à partir de laquelle les produits de désintégrations sont détectés en coïncidences. C'est par l'étude de la distribution du temps de vol des ions de recul qu'est extrait la valeur de aβν et, depuis 2010, les probabilités de Shake-Off (SO) associées. Cette étude nécessite la simulation complète des expériences LPCTrap. La majeur partie du présent travail est dédiée à de telles simulations, en particulier à la modélisation de la dynamique du nuage d'ions piégés. Le programme CLOUDA, qui profite des unités de calcul graphique (GPU), a été développé dans cette optique et sa caractérisation complète est présentée ici. Trois aspects importants sont abordés: le champ de piégeage électro-magnétique, les collisions réalistes entre les ions et les atomes de gaz tampon et l'effet de la charge d'espace. La présente étude démontre l'importance de ces simulations pour accroître le contrôle des erreurs systématiques sur aβν
This work belongs to the effort presently deployed to measure the angular correlation parameter aβν in three nuclear beta decays (6He+, 35Ar+ and 19Ne+). The V-A structure of the weak interaction implies that aβν = +1 for a pure Fermi transition and aβν = -1/3 for a pure Gamow-Teller transition. A thorough measurement of this parameter to check any deviation from these values may lead to the discovery of possible exotic currents. Furthermore, the measurement of aβν in mirror transitions allows the extraction of Vud, the first element of the Cabibbo-Kobayashi-Maskawa (CKM) matrix. The LPCTrap apparatus, installed at GANIL, is designed to ready a continuous ion beam for injection in a dedicated Paul trap. This latter device allows to have a quasi-ponctual source from which the decay products are detected in coincidence. It is from the study of the recoil ion time-of-flight (TOF) distribution that aβν is withdrawn and, since 2010, the associated Shake-Off (SO) probabilities. This study requires the complete simulation of the LPCTrap experiments. The major part of this work is dedicated to such simulations, especially to the modeling of the trapped ion cloud dynamic. The CLOUDA program, which takes advantage of graphics processing unit (GPU), was developed in this context and its full characterization is presented here. Three important aspects are addressed: the electromagnetic trapping field, the realistic collisions between the ions and the buffer gas atoms and the space charge effect. The present work shows the importance of these simulations to increase the control of the systematic errors on aβν
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Badalov, Alexey Pavlovich. "Coprocessor integration for real-time event processing in particle physics detectors." Doctoral thesis, Universitat Ramon Llull, 2016. http://hdl.handle.net/10803/396128.

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Els experiments de física d’altes energies actuals disposen d’acceleradors amb més energía, sensors més precisos i formes més flexibles de recopilar les dades. Aquesta ràpida evolució requereix de més capacitat de càlcul; els processadors massivament paral·lels, com ara les targes acceleradores gràfiques, ens posen a l’abast aquesta major capacitat de càlcul a un cost sensiblement inferior a les CPUs tradicionals. L’ús d’aquest tipus de processadors requereix, però, de nous algoritmes i nous enfocaments de l’organització de les dades que són difícils d’integrar en els programaris actuals. En aquest treball s’exploren els problemes derivats de l’ús d’algoritmes paral·lels en els entorns de programari existents, orientats a CPUs, i es proposa una solució, en forma de servei, que comunica amb els diversos pipelines que processen els esdeveniments procedents de les col·lisions de partícules, recull les dades en lots i els envia als algoritmes corrent sobre els processadors massivament paral·lels. Aquest servei s’integra en Gaudí - l’entorn de software de dos dels quatre experiments principals del Gran Col·lisionador d’Hadrons. S’examina el sobrecost que el servei afegeix als algoritmes paral·lels. S’estudia un cas d´ùs del servei per fer una reconstrucció paral·lela de les traces detectades en el VELO Pixel, el subdetector encarregat de la detecció de vèrtex en l’upgrade de LHCb. Per aquest cas, s’observen les característiques del rendiment en funció de la mida dels lots de dades. Finalment, les conclusions en posen en el context dels requeriments del sistema de trigger de LHCb.
La física de altas energías dispone actualmente de aceleradores con energías mayores, sensores más precisos y métodos de recopilación de datos más flexibles que nunca. Su rápido progreso necesita aún más potencia de cálculo; el hardware masivamente paralelo, como las unidades de procesamiento gráfico, nos brinda esta potencia a un coste mucho más bajo que las CPUs tradicionales. Sin embargo, para usar eficientemente este hardware necesitamos algoritmos nuevos y nuevos enfoques de organización de datos difíciles de integrarse con el software existente. En este trabajo, se investiga cómo se pueden usar estos algoritmos paralelos en las infraestructuras de software ya existentes y que están orientadas a CPUs. Se propone una solución en forma de un servicio que comunica con los diversos pipelines que procesan los eventos de las correspondientes colisiones de particulas, reúne los datos en lotes y se los entrega a los algoritmos paralelos acelerados por hardware. Este servicio se integra con Gaudí — la infraestructura del entorno de software que usan dos de los cuatro gran experimentos del Gran Colisionador de Hadrones. Se examinan los costes añadidos por el servicio en los algoritmos paralelos. Se estudia un caso de uso del servicio para ejecutar un algoritmo paralelo para el VELO Pixel (el subdetector encargado de la localización de vértices en el upgrade del experimento LHCb) y se estudian las características de rendimiento de los distintos tamaños de lotes de datos. Finalmente, las conclusiones se contextualizan dentro la perspectiva de los requerimientos para el sistema de trigger de LHCb.
High-energy physics experiments today have higher energies, more accurate sensors, and more flexible means of data collection than ever before. Their rapid progress requires ever more computational power; and massively parallel hardware, such as graphics cards, holds the promise to provide this power at a much lower cost than traditional CPUs. Yet, using this hardware requires new algorithms and new approaches to organizing data that can be difficult to integrate with existing software. In this work, I explore the problem of using parallel algorithms within existing CPU-orientated frameworks and propose a compromise between the different trade-offs. The solution is a service that communicates with multiple event-processing pipelines, gathers data into batches, and submits them to hardware-accelerated parallel algorithms. I integrate this service with Gaudi — a framework underlying the software environments of two of the four major experiments at the Large Hadron Collider. I examine the overhead the service adds to parallel algorithms. I perform a case study of using the service to run a parallel track reconstruction algorithm for the LHCb experiment's prospective VELO Pixel subdetector and look at the performance characteristics of using different data batch sizes. Finally, I put the findings into perspective within the context of the LHCb trigger's requirements.
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Varadarajan, Aravind Krishnan. "Improving Bio-Inspired Frameworks." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/97506.

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In this thesis, we provide solutions to two different bio-inspired algorithms. The first is enhancing the performance of bio-inspired test generation for circuits described in RTL Verilog, specifically for branch coverage. We seek to improve upon an existing framework, BEACON, in terms of performance. BEACON is an Ant Colony Optimization (ACO) based test generation framework. Similar to other ACO frameworks, BEACON also has a good scope in improving performance using parallel computing. We try to exploit the available parallelism using both multi-core Central Processing Units (CPUs) and Graphics Processing Units(GPUs). Using our new multithreaded approach we can reduce test generation time by a factor of 25�-- compared to the original implementation for a wide variety of circuits. We also provide a 2-dimensional factoring method for BEACON to improve available parallelism to yield some additional speedup. The second bio-inspired algorithm we address is for Deep Neural Networks. With the increasing prevalence of Neural Nets in artificial intelligence and mission-critical applications such as self-driving cars, questions arise about its reliability and robustness. We have developed a test-generation based technique and metric to evaluate the robustness of a Neural Nets outputs based on its sensitivity to its inputs. This is done by generating inputs which the neural nets find difficult to classify but at the same time is relatively apparent to human perception. We measure the degree of difficulty for generating such inputs to calculate our metric.
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Odeh, Khuloud, Annita Seckinger, and Carina Forsman-Knecht. "Connected Urban Development (CUD) Initiative as an Approach towards Sustainability in Urban Areas." Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3127.

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With the increasing number of Information and Communication Technology (ICT)-based initiatives addressing sustainability in urban areas, it is important to examine the possible contributions these initiatives can make when transitioning society as a whole towards sustainability. This thesis investigates CUD‟s potential as a supportive approach to move urban areas towards sustainability, and the adjustment needed in the current strategies for alignment to a goal of global sustainability. This was accomplished by working with CUD Pilot Cities, various experts in urban development, ICT authorities and sustainability researchers. A scientific approach to the understanding of sustainability concepts provides the basis of this evaluation of the CUD initiative, the benefits and challenges, including the role of connectivity and the applicability of ICT. Within this context, recommendations were made to further improve the CUD initiative‟s effectiveness in moving urban areas towards sustainability. An ideal initiative was envisioned in relation to system boundaries and components, strategic guidelines, actions and tools - “CUD Gold” - and steps were suggested for how to make CUD more strategic in its pioneering endeavors of global urban sustainability.
Med det ökande antalet informations-och kommunikationsteknik (IKT)-baserade initiativ som riktar sig mot hållbarhet i städerna, är det viktigt att undersöka de eventuella bidrag dessa initiativ kan ge när de stödjer samhällens hållbara utveckling. Denna uppsats undersöker Connected urban developments (CUD) potential som initiativ och dess stödjande strategi för städers hållbara utveckling. Förslag till justeringar av CUDs strategi studeras och rekommendationer för bättre anpassning av nuvarande strategier till CUDs nya mål ges. Orginalstrategierna skrevs utifrån orginalmålet, reducering av koldioxidutsläpp och behövde justeras för att bättre inriktas mot det nya målet, global hållbarhet. Detta uppnåddes genom att studera Connected Urban Development som organisation och genom att intervjua representanter från CUDs organisation, representanter för Pilotprojektsstäder, olika experter på stadsplanering, IT och hållbar utveckling (både forskare och praktiker). Ett vetenskapligt förhållningssätt till kunskap om hållbarhetsbegrepp utgör grunden för denna utvärdering av CUD-initiativet, dess fördelar och utmaningar, inklusive rollen för bredbandsuppkoppling och tillämpning av informations-och kommunikationsteknik. I detta sammanhang ges rekommendationer för att ytterligare förbättra CUD-initiativets effektivitet gällande städers hållbara utveckling. Gruppens forskning utgick från ett föreställt idealiskt initiativ i förhållande till systemets gränser och komponenter, strategiska riktlinjer, åtgärder och verktyg - "CUD Gold" och åtgärder föreslås för att göra CUD mer strategiska i sin banbrytande ansträngning för att stödja hållbara städer på global nivå.

Carina Forsman-Knecht S. Bellevuevägen 2 371 61 Lyckeby E-mail: cinaknecht@gmail.com US +1 435 503 8460 Sweden +46 (0)733 629951 Skype: cinaknecht Annita Seckinger 10620 Barnwood Lane Potomac Maryland 20854 email: a2ndger@yahoo.com Khuloud Odeh address: 2501 Calvert St. NW Apt. 401, Washington, DC, 20008, USA phones: home +1-202-332-1103, mobile:+1 301-768-1886 email: khuloud.odeh@gmail.com

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Awan, Ammar Ahmad. "Co-designing Communication Middleware and Deep Learning Frameworks for High-Performance DNN Training on HPC Systems." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587433770960088.

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Oliveira, Danilo Senen Cavallieri de. "Fintechs e inclusão financeira: o caso da implementação de uma plataforma digital de pagamentos em favelas do Rio de Janeiro e São Paulo." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/23940.

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O presente estudo visa responder à pergunta de pesquisa: 'Como ocorre o processo de implantação de uma plataforma digital de pagamentos, desenvolvida por uma fintech, que visa promover a inclusão financeira?'. Para isso, foi analisado o caso do CUFA Card, plataforma digital de pagamentos implantada na favela Parque União, parte do Complexo da Maré no Rio de Janeiro, e na comunidade de Heliópolis, em São Paulo. Compõem o presente trabalho uma revisão de literatura, que nos permite compreender como as fintechs podem ser uma oportunidade para se promover a inclusão financeira; e um estudo de caso, onde foram realizadas entrevistas com os grupos sociais envolvidos na criação ou implantação dessa plataforma, as quais foram transcritas, codificadas e analisadas utilizando o software Atlas TI©. Como principal contribuição, temos a análise de como ocorre a implantação de uma plataforma digital de pagamentos, que visa promover a inclusão financeira a luz da implantação do CUFA Card, bem como com a descrição de como ocorreu a articulação entre diferentes grupos sociais para viabilização do projeto e explicitação do conteúdo resultante da implantação dessa tecnologia, a qual é derivada da parceria entre a fintech Conta Um e a organização FHolding/CUFA. Para isso utilizou-se do multilevel framework de Pozzebon, Diniz e Jayo (2009), uma teoria nativa do campo de sistemas da informação, que possibilitou um melhor entendimento sobre o caso estudado, ao analisar, concomitantemente, aspectos tecnológicos e sociais da implantação dessa da plataforma em um dado contexto onde essa está sendo inserida. O estudo contribui também com a geração de insights para pesquisas futuras e para a prática, ao estudar a relação entre fintechs e inclusão financeira, um tema ainda incipiente na literatura, e ao analisar o processo de implantação da plataforma de pagamento, destacando questões cruciais desse processo.
The present study aims to answer the research question: 'How does the process of implementing a digital payments platform, developed by a fintech, that aims to pro-mote financial inclusion occurs?'. For that, was analyzed the case of CUFA Card, a digital payment platform implemented in the Parque União favela, part of the Com-plexo da Maré in Rio de Janeiro, and in the community of Heliópolis, in São Paulo. The present work compiles a literature review, which allows us to understand how fintechs can be an opportunity to promote financial inclusion; and a case study where interviews were conducted with the social groups involved in the creation or imple-mentation of this platform, that were transcribed, coded and analyzed using Atlas TI © software. As a main contribution, we have the analysis on how this process occurs in the light of the CUFA Card implementation, as well as describing how the articulation between different social groups occurred to project feasibility and explicit content resulting from the implementation of this technology, which is derived from the partnership between the fintech Conta Um and the FHolding /CUFA organization. The work also brings as contributions the articulation of the multilevel framework, by Pozzebon, Diniz and Jayo (2009) and which is native to the information systems field, that made possible a better understanding of the case studied, while simultaneously analyzing technological and social aspects of the implementation of this platform in a given context where it is being inserted. It also contributes to the generation of in-sights for future research and practice, studying the relationship between fintechs and financial inclusion, a still incipient topic in the literature, and analysing the implementation process of a payment platform, highlighting what is the crucial issues in this process.
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Chen, Yu-Wen, and 陳郁文. "Online Derivatives Arbitrage Trading Mechanism Based on CUDA Framework." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/35874995565142123742.

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碩士
國立交通大學
資訊科學與工程研究所
104
Parallel Computing denotes a technique to simultaneously process a huge amount of data with low dependency by multiple processing units. In other words, we can divide a complex problem or a huge data set into many small independent problems or small data chunks, and reduce the overall computational time through allocating these problems to different process units in the same time. High frequency trading is becoming important in financial markets and the ability to deal a huge amount of financial trading data in real time is thus critical. This thesis apply parallel computing technique to search for arbitrage opportunities and design trading strategies for TAIEX options and futures. Usually, arbitrage opportunity comes from occasionally irrational price quotes. In highly competitive and mature markets, arbitrage opportunities are not only extremely rare but also fleeting. Therefore, the technique which can process a great number of data rapidly such as Parallel Computing is very suitable for finding arbitrage opportunity. This research revises the framework of [5]. I implement the following arbitrage strategies: convexity strategy and put-call-future parity strategy, and we have introduced spread strategy in my framework to seek arbitrage opportunities in TAIEX Exchange of Futures. Besides, the off-line framework that uses virtual exchange to simulate tradings. I add the online real-time trading mode which can receive price quotes from a remote server and send back the encoded strategies through a TCP channel.
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Books on the topic "CUDA FRAMEWORK"

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1944-, Kay Cristóbal, Peek Peter 1947-, and International Labour Office, eds. Labour and development in rural Cuba: A study prepared for the International Labour Office within the framework of the World Employment Programme. Basingstoke: Macmillan, 1988.

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Díaz-Briquets, Sergio. A Transparency/accountability framework for combating corruption in post-Castro Cuba. The Institute, 2002.

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Barquin, Nicolas Philip. Real estate opportunities for U.S. investors in post-Castro Cuba: A framework for analysis. 2006.

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Alexander, Orakhelashvili. Part 1 The Cold War Era (1945–89), 9 The Cuban Missile Crisis—1962. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198784357.003.0009.

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This chapter begins with examining the context in which the US government decided to impose the quarantine against Cuba in 1962, in response to the Soviet nuclear missile placement in Cuba. The legality of the US measures is examined against the Charter of the United Nations, the OAS regional security framework, and general international law including the regime of belligerent rights. The final section addresses the precedential value of this incident, especially the ways in which legal advisers addressed the complex legal issues surrounding the Cuban missile crisis.
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Clealand, Danielle Pilar. Conclusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190632298.003.0011.

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The influence that racial ideology has on racial attitudes and racial consciousness in Cuba is shown throughout this project to be significant. Racial democracy in Cuba combines with socialist ideology to form a powerful racial ideology that is distinct to other Latin American societies that operate under the ideology of racial democracy. Throughout the decades of the revolution Fidel and Raúl Castro and the Cuban government have united belief in the revolution with belief in racial democracy, and as a result support of the revolution often correlates with the notion that racism is not a considerable problem in Cuba. State rhetoric and policy have promoted national identity and unity as supreme over racial identity, while claiming to have solved the problem of racism through socialist policies. The state also created a set of norms and an institutional framework that did not allow for the proliferation of alternate racial ideologies or information, barred the creation of any institution or organization that addressed race, and by creating institutions that addressed the needs of women, youth, and others created the philosophy that race was not a cleavage that mattered in revolutionary Cuba. Despite the ideological and political measures executed by the government, the presence of racism in Cuba cannot be denied and has, as supported by the data throughout this book, contributed to feelings of racial consciousness among black and ...
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Schmitt, Kenneth E. Cura animarum in the twentieth century and beyond: Toward the development of an ethical framework for the practice of pastoral counseling. 1991.

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Ahmad, Saiful Yazan, and Norlida Ab. Wahab. Mudahnya Takaful: Soalan lazim bagi rujukan dan kefahaman pantas. UUM Press, 2017. http://dx.doi.org/10.32890/9789672064190.

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Malaysia mendahului negara lain memperkenalkan undang-undang dan garis panduan yang berkaitan untuk menggalakkan kestabilan dan pertumbuhan kewangan Islam di negara ini.Akta Perkhidmatan Kewangan Islam (IFSA) telah diperkenalkan pada tahun 2013 bagi menyelaras beberapa akta dengan menambah baik beberapa peruntukan, termasuk Akta Takaful.Antara garis panduan yang telah diperkenalkan atau ditingkatkan oleh pihak berkuasa Malaysia yang memberi kesan secara langsung kepada takaful ialah Rangka Kerja Modal Berasaskan Risiko bagi Pengendali Takaful (Risk-based Framework for Takaful Operators), Garis Panduan Rangka Kerja Operasi Takaful (Guidelines on Takaful Operational Framework) dan Rangka Kerja Tadbir Urus Syariah bagi Institusi Kewangan Islam (Syariah Governance Framework for Islamic Financial Institutions).Industri takaful dijangka meneruskan momentum pertumbuhan pada masa akan datang dengan kemunculan pasaran baharu di negara-negara tertentu. Buku ini bertujuan untuk menjawab beberapa persoalan utama yang sering diketengahkan mengenai perniagaan takaful berdasarkan amalan pasaran semasa dan sebagai sumber rujukan pantas bagi sesiapa sahaja yang berminat.Perbincangan dalam buku ini berkisar persoalan yang pernah diajukan oleh masyarakat awam dan juga individu secara langsung atau tidak langsung ketika berurusan dengan Takaful.Penulis cuba menjawab persoalan tersebut dalam gaya dan bahasa yang mudah difahami oleh semua pihak.
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Baker, Catherine. Making War on Bodies. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474446181.001.0001.

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This vibrant collection of essays reveals the intimate politics of how people with a wide range of relationships to war identify with, and against, the military and its gendered and racialised norms. It synthesises three recent turns in the study of international politics: aesthetics, embodiment and the everyday, into a new conceptual framework. With case studies covering 20th- and 21st-century conflicts on four different continents, from the Middle East and post-socialist Europe to the USA, Britain, Australia and Cuba, and diverse methodological examples including autoethnography, visual analysis, fashion history, and digital media research, this volume helps us to understand how militarism permeates society and how far the practices of militarism can be re-appropriated or even turned against military and state power.
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Parrott, R. Joseph, and Mark Atwood Lawrence, eds. The Tricontinental Revolution. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781009004824.

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The Tricontinental Revolution provides a major reassessment of the global rise and impact of Tricontinentalism, the militant strand of Third World solidarity that defined the 1960s and 1970s as decades of rebellion. Cold War interventions highlighted the limits of decolonization, prompting a generation of global South radicals to adopt expansive visions of self-determination. Long associated with Cuba, this anti-imperial worldview stretched far beyond the Caribbean to unite international revolutions around programs of socialism, armed revolt, economic sovereignty, and confrontational diplomacy. Linking independent nations with non-state movements from North Vietnam through South Africa to New York City, Tricontinentalism encouraged marginalized groups to mount radical challenges to the United States and the inequitable Euro-centric international system. Through eleven expert essays, this volume recenters global political debates on the priorities and ideologies of the Global South, providing a new framework, chronology, and tentative vocabulary for understanding the evolution of anti-imperial and decolonial politics.
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Bryant, Sherwin K., Ben Vinson, and Rachel Sarah O’Toole. Introduction. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252036637.003.0010.

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This book expands the framework for charting the African Diaspora to Spanish America. Drawing upon a variety of texts from the Spanish American colonies, it explores the connections and disjunctures between colonial Latin America and the African Diaspora in the Spanish empires. It examines what Leo Garofalo calls the “shape of Diaspora,” tracing its early extension into Iberia in the fifteenth century and its reach beyond the Atlantic basin into the Pacific/Andean territories ever since. The book is organized into three sections. Part 1 discusses voluntary and forced migrations across the Atlantic, focusing on three distinct cases of identity construction that intersect with ongoing debates in African Diaspora scholarship regarding the models of continuity and creolization in the Americas. Part 2 considers how enslaved and free people used their rights as Catholics to present themselves as civilized subjects, loyal Christians, and resisters to slavery. Part 3 shifts the discussion to the family and professional lives of free blacks in nineteenth-century Cuba, with particular emphasis on how they claimed categories of inclusion.
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Book chapters on the topic "CUDA FRAMEWORK"

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Wei, Wei, and Yanqiong Huang. "CUDA Framework for Turbulence Flame Simulation." In Lecture Notes in Electrical Engineering, 791–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21697-8_101.

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Fatkina, Anna, Maxim Gonchar, Liudmila Kolupaeva, Dmitry Naumov, and Konstantin Treskov. "CUDA Support in GNA Data Analysis Framework." In Computational Science and Its Applications – ICCSA 2018, 12–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95171-3_2.

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Nina Paravecino, Fanny, and David Kaeli. "Accelerated Connected Component Labeling Using CUDA Framework." In Computer Vision and Graphics, 502–9. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11331-9_60.

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Baek, Nakhoon. "A Prototype Implementation of NNEF Execution Framework with CUDA Acceleration." In Lecture Notes in Electrical Engineering, 129–32. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6385-4_12.

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Kosiachenko, Lisa, Nathaniel Hart, and Munehiro Fukuda. "MASS CUDA: A General GPU Parallelization Framework for Agent-Based Models." In Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 139–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24209-1_12.

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Ohshima, Satoshi, Shoichi Hirasawa, and Hiroki Honda. "OMPCUDA : OpenMP Execution Framework for CUDA Based on Omni OpenMP Compiler." In Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More, 161–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13217-9_13.

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Jung, Hanwoong, Youngmin Yi, and Soonhoi Ha. "Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU Architectures." In Parallel Processing and Applied Mathematics, 579–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31464-3_59.

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Zhu, Qi, Li Shen, Xinbiao Gan, and Zhiying Wang. "A Compiler Framework for Translating Standard C into Optimized CUDA Code." In Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011, 501–14. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2105-0_44.

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Wang, Zhanghu, Pin Lv, and Changwen Zheng. "CUDA on Hadoop: A Mixed Computing Framework for Massive Data Processing." In Advances in Intelligent Systems and Computing, 253–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37835-5_23.

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Luo, Ruiyi, and Qian Yin. "A Novel Parallel Clustering Algorithm Based on Artificial Immune Network Using nVidia CUDA Framework." In Human-Computer Interaction. Design and Development Approaches, 598–607. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21602-2_65.

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Conference papers on the topic "CUDA FRAMEWORK"

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Breitbart, Jens. "CuPP - A framework for easy CUDA integration." In Distributed Processing (IPDPS). IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5160937.

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Shete, Pritam Prakash, P. P. K. Venkat, Dinesh M. Sarode, Mohini Laghate, S. K. Bose, and R. S. Mundada. "Object oriented framework for CUDA based image processing." In 2012 International Conference on Communication, Information & Computing Technology (ICCICT). IEEE, 2012. http://dx.doi.org/10.1109/iccict.2012.6398223.

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Jain, Akshat, Owais Kazi, Raviraj Joshi, Shraddha Basantwani, Yogita Bang, and Rahul Khengare. "Hyaline: A Transparent Distributed Computing Framework for CUDA." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033789.

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Choi, Jake, Heon Young Yeom, and Yoonhee Kim. "Implementing CUDA Unified Memory in the PyTorch Framework." In 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, 2021. http://dx.doi.org/10.1109/acsos-c52956.2021.00029.

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Ramroach, Sterling, Jonathan Herbert, and Ajay Joshi. "CUDA-ACCELERATED FEATURE SELECTION." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/juqg5057.

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Identifying important features from high dimensional data is usually done using one-dimensional filtering techniques. These techniques discard noisy attributes and those that are constant throughout the data. This is a time-consuming task that has scope for acceleration via high performance computing techniques involving the graphics processing unit (GPU). The proposed algorithm involves acceleration via the Compute Unified Device Architecture (CUDA) framework developed by Nvidia. This framework facilitates the seamless scaling of computation on any CUDA-enabled GPUs. Thus, the Pearson Correlation Coefficient can be applied in parallel on each feature with respect to the response variable. The ranks obtained for each feature can be used to determine the most relevant features to select. Using data from the UCI Machine Learning Repository, our results show an increase in efficiency for multi-dimensional analysis with a more reliable feature importance ranking. When tested on a high-dimensional dataset of 1000 samples and 10,000 features, we achieved a 1,230-time speedup using CUDA. This acceleration grows exponentially, as with any embarrassingly parallel task.
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Wezowicz, M., and M. Taufer. "On the Cost of a General GPU Framework: The Strange Case of CUDA 4.0 vs. CUDA 5.0." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.310.

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Hernandez-Gutierrez, Erick, Alonso Ramirez-Manzanares, Jose L. Marroquin, Mario Ocampo-Pineda, and Alessandro Daducci. "Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, 2019. http://dx.doi.org/10.1109/isbi.2019.8759098.

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Wezowicz, Matthew Robert. "Poster: On the Cost of a General GPU Framework: The Strange Case of CUDA 4.0 vs. CUDA 5.0." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.311.

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Kulkarni, Manjiri K., and J. S. Umale. "Prediction of chemical bond formation using efficient CUDA based HPC framework." In 2016 International Conference on Computing Communication Control and automation (ICCUBEA). IEEE, 2016. http://dx.doi.org/10.1109/iccubea.2016.7859988.

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Jing Huang, S. P. Ponce, Seung In Park, Yong Cao, and F. Quek. "GPU-accelerated computation for robust motion tracking using the CUDA framework." In 5th International Conference on Visual Information Engineering (VIE 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080353.

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Reports on the topic "CUDA FRAMEWORK"

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Jamerson, Allen J. United States - Cuba Policy: Strategic Framework for Re-emergent Relations. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada415395.

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