Literatura académica sobre el tema "Software acceleration"
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Artículos de revistas sobre el tema "Software acceleration"
Long, Gary. "Acceleration Characteristics of Starting Vehicles". Transportation Research Record: Journal of the Transportation Research Board 1737, n.º 1 (enero de 2000): 58–70. http://dx.doi.org/10.3141/1737-08.
Texto completoAn, Xiao Xue, Xiao Dong Chai, Wen Fa Zhu y Xiao Wei Xu. "Software Design of the Track State Inspection System Based on LabVIEW". Advanced Materials Research 546-547 (julio de 2012): 1323–28. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1323.
Texto completoEdwards, M. D. y J. Forrest. "Software acceleration using programmable hardware devices". IEE Proceedings - Computers and Digital Techniques 143, n.º 1 (1996): 55. http://dx.doi.org/10.1049/ip-cdt:19960066.
Texto completoBoroushak, Neda, Hasan Khoshnoodi y Mostafa Rostami. "Investigation of the Head’s Dynamic Response to Boxing Punch Using Computer Simulation". Montenegrin Journal of Sports Science and Medicine 10, n.º 1 (1 de marzo de 2021): 31–35. http://dx.doi.org/10.26773/mjssm.210305.
Texto completoChen, Andrew, Rohaan Gupta, Anton Borzenko, Kevin Wang y Morteza Biglari-Abhari. "Accelerating SuperBE with Hardware/Software Co-Design". Journal of Imaging 4, n.º 10 (18 de octubre de 2018): 122. http://dx.doi.org/10.3390/jimaging4100122.
Texto completoManor, Erez, Avrech Ben-David y Shlomo Greenberg. "CORDIC Hardware Acceleration Using DMA-Based ISA Extension". Journal of Low Power Electronics and Applications 12, n.º 1 (15 de enero de 2022): 4. http://dx.doi.org/10.3390/jlpea12010004.
Texto completoEdwards, M. D., J. Forrest y A. E. Whelan. "Acceleration of software algorithms using hardware/software co-design techniques". Journal of Systems Architecture 42, n.º 9-10 (febrero de 1997): 697–707. http://dx.doi.org/10.1016/s1383-7621(96)00071-9.
Texto completoThompson, David L. "Time, Speed and Acceleration—a software package". Electronic Systems News 1988, n.º 3 (1988): 28. http://dx.doi.org/10.1049/esn.1988.0064.
Texto completoTang, Wenkai y Peiyong Zhang. "GPGCN: A General-Purpose Graph Convolution Neural Network Accelerator Based on RISC-V ISA Extension". Electronics 11, n.º 22 (21 de noviembre de 2022): 3833. http://dx.doi.org/10.3390/electronics11223833.
Texto completoFarouk, Yasmeen y Sherine Rady. "Optimizing MRI Registration using Software/Hardware Co-Design Model on FPGA". International Journal of Innovative Technology and Exploring Engineering 10, n.º 2 (10 de diciembre de 2020): 128–37. http://dx.doi.org/10.35940/ijitee.b8300.1210220.
Texto completoTesis sobre el tema "Software acceleration"
Borgström, Fredrik. "Acceleration of FreeRTOS withSierra RTOS accelerator : Implementation of a FreeRTOS software layer onSierra RTOS accelerator". Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188518.
Texto completoIdag är effekten av de vanligaste åtgärderna för att förbättra prestandan av inbyggda system och realtidsoperativsystem väldigt liten. På grund av detta är det intressant att undersöka nya åtgärder för att tänja prestandagränserna av inbyggda system och realtidsoperativsystem ytterliggare. Det har tidigare påvisats att det hårdvarubaseraderealtidsoperativsystemet, Sierra, har bättre prestanda än det mjukvarubaseraderealtidsoperativsystemet, FreeRTOS. Dessa realtidsoperativsystem har även visats vara lika i flera aspekter, vilket betyder att det är möjligt för Sierra att accelererera FreeRTOS. I detta examensarbete har en implementering av en sådan acceleration genomförts. Eftersom befintliga realtidsoperativsystem ständigtär i utveckling i kombination med att det är flera år sedan som en tidigare jämförelse mellan de båda systemen utfördes, så jämfördes FreeRTOS och Sierra i fråga om funktionalitet och uppbyggnad även i detta examensarbete.Denna jämförelse visade att FreeRTOS och Sierra delar de mest grundläggande funktionerna av ett realtidsoperativsystem, och som därmed kan accelereras av Sierra, men att FreeRTOS även har ett antal exklusiva funktioner för att underlätta användningen av det realtidsoperativsystemet. Informationen som erhölls av denna jämförelse var sedan grunden för hur själva accelerationen skulle implementeras. Efter ett antal prestandatesterkunde det konstateras att alla implementerade funktioner, med undantag för ett fåtal, hade kortare exekveringstid än motsvarande funktioner i ursprungsversionen av FreeRTOS.
Kulkarni, Pallavi Anil. "Hardware acceleration of software library string functions". Ann Arbor, Mich. : ProQuest, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447245.
Texto completoTitle from PDF title page (viewed Nov. 19, 2009). Source: Masters Abstracts International, Volume: 46-03, page: 1577. Adviser: Mitch Thornton. Includes bibliographical references.
Blumer, Aric David. "Register Transfer Level Simulation Acceleration via Hardware/Software Process Migration". Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29380.
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Samothrakis, Stavros Nikolaou. "Acceleration techniques in ray tracing for dynamic scenes". Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241671.
Texto completoSingh, Ajeet. "GePSeA: A General-Purpose Software Acceleration Framework for Lightweight Task Offloading". Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34264.
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Consequently, this thesis proposes a framework called GePSeA (General Purpose Software
Acceleration Framework), which uses a small
fraction of the computational power on multi-core architectures to offload complex application-specific tasks. Specifically, GePSeA provides a lightweight process that acts as a helper agent to the application by executing application-specific tasks asynchronously and efficiently. GePSeA is not meant to replace hardware accelerators but to extend them. GePSeA
provide several utilities called core components that offload tasks on to the core or to the special-purpose hardware when available in a way that is transparent to the application. Examples of such core components include reliable communication service, distributed lock management, global memory management, dynamic load distribution and network protocol processing. We then apply the GePSeA framework to two applications, namely mpiBLAST, an open-source computational biology application and Reliable Blast UDP (RBUDP) based file transfer application. We observe significant speed-up for both applications.
Master of Science
Zhu, Huanzhou. "Developing graph-based co-scheduling algorithms with GPU acceleration". Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/92000/.
Texto completoYalim, Hacer. "Acceleration Of Direct Volume Rendering With Texture Slabs On Programmable Graphics Hardware". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606195/index.pdf.
Texto completoSherban, V. Yu. "Software components of the system for the kinematic and dynamic analysis of machines for sewing, textile and shoe industries". Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/6655.
Texto completoWang, Tsu-Han. "Real-time Software Architectures and Performance Evaluation Methods for 5G Radio Systems". Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS362.pdf.
Texto completoThe thesis deals with 5G real-time Software Defined Radio architectures. In order to match 5G performance requirements, computational acceleration combined with real-time process scheduling methods are required. In 5G embedded systems acceleration amounts to a judicious combination additional hardware units for the most computationally costly functions with software for simpler arithmetic and complex control procedures. Fully software-based solutions are also appearing for certain applications, in particular in the so-called Open Radio-Access Network (openRAN) ecosystem. The contributions of this thesis lie in methods for purely software-based acceleration and real-time control of low-latency fronthaul interfaces. Since 5G has stringent latency requirements and support for very high-speed data traffic, methods for scheduling baseband processing need to be tailored to the specifics of the air-interface. Specifically, we propose a functional decomposition of the 5G air interface which is amenable to multi-core software implementations targeting high-end servers exploiting single-instruction multiple-data (SIMD) acceleration. Moreover, we provide some avenues for multi-threaded processing through pipelining and the use of thread pools. We highlight the methods and their performance evaluation that have been exploited during the development of the OpenAirInterface 5G implementation
Tell, Eric. "Design of Programmable Baseband Processors". Doctoral thesis, Linköping : Univ, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4377.
Texto completoLibros sobre el tema "Software acceleration"
Mourelle, Luiza de Macedo. Hardware/Software interfacing in a software acceleration environment. Manchester: UMIST, 1997.
Buscar texto completoNikkhah, B. A hardware/software partitioning scheme for software acceleration. Manchestr: UMIST, 1997.
Buscar texto completoMizrakian, V. Software acceleration of image processing algorithms using hardware implementation. Manchester: UMIST, 1997.
Buscar texto completoMizrakian, V. Software acceleration of image processing algorithms using hardware implementation. Manchester: UMIST, 1997.
Buscar texto completoLuigi, Carro, ed. Dynamic reconfigurable architectures and transparent optimization techniques: Automatic acceleration of software execution. Dordrecht: Springer, 2010.
Buscar texto completo1970-, Ratliff Bud, ed. Microsoft Internet security and acceleration (ISA) server 2000. Redmond, Wash: Microsoft Press, 2003.
Buscar texto completo1973-, Thomas Orin y Microsoft Corporation, eds. MCSA/MCSE self-paced training kit (exam 70-350): Implementing Microsoft internet security and acceleration server 2004. Redmond, Wash: Microsoft Press, 2005.
Buscar texto completoTin, Michael Yu Chak. ExamInsightfor MCP/MCSE certification: Microsoft internet security and acceleration (ISA) server 2000, enterprise edition exam 70-227. Friendswood, Tex: TotalRecall Publications, 2003.
Buscar texto completoTin, Michael Yu Chak. ExamWise for MCP/MCSE certification: Microsoft internet security and acceleration (ISA) server 2000, enterprise edition exam 70-227. Friendswood, Tex: TotalRecall Publications, 2003.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. A method to determine the kinematics of the lower limbs of a subject pedaling a bicycle using encoders and accelerometers. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Software acceleration"
Cattaruzza, Dario, Alessandro Abate, Peter Schrammel y Daniel Kroening. "Sound Numerical Computations in Abstract Acceleration". En Numerical Software Verification, 38–60. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63501-9_4.
Texto completoGulati, Kanupriya y Sunil P. Khatri. "Automated Approach for Graphics Processor Based Software Acceleration". En Hardware Acceleration of EDA Algorithms, 169–80. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-0944-2_11.
Texto completoSchmid, Moritz, Christian Schmitt, Frank Hannig, Gorker Alp Malazgirt, Nehir Sonmez, Arda Yurdakul y Adrian Cristal. "Big Data and HPC Acceleration with Vivado HLS". En FPGAs for Software Programmers, 115–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26408-0_7.
Texto completoLeroux, Jérôme y Grégoire Sutre. "Acceleration in Convex Data-Flow Analysis". En FSTTCS 2007: Foundations of Software Technology and Theoretical Computer Science, 520–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77050-3_43.
Texto completoBeevi, F. H. Aysha, C. F. Pedersen, S. Wagner y S. Hallerstede. "Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration". En Ambient Intelligence - Software and Applications, 201–8. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07596-9_22.
Texto completoŠimková, Marcela y Ondřej Lengál. "Towards Beneficial Hardware Acceleration in HAVEN: Evaluation of Testbed Architectures". En Hardware and Software: Verification and Testing, 266–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39611-3_25.
Texto completoLiu, Yang y Liang Deng. "Acceleration of CFD Engineering Software on GPU and MIC". En Algorithms and Architectures for Parallel Processing, 835–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27161-3_77.
Texto completoWang, Yanwei, Bingbing Li, Lu Lu, Jiangwei Wang, Rengang Li y Hongwei Kan. "Hardware-Software Co-design for Deep Neural Network Acceleration". En Communications in Computer and Information Science, 221–30. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4402-6_16.
Texto completoYan, Jiong, Ji Wang y Huo-wang Chen. "UML Based Statistical Testing Acceleration of Distributed Safety-Critical Software". En Parallel and Distributed Processing and Applications, 433–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30566-8_52.
Texto completoSaremi, Razieh, Ye Yang y Abdullah Khanfor. "Ant Colony Optimization to Reduce Schedule Acceleration in Crowdsourcing Software Development". En Human Interface and the Management of Information. Information in Intelligent Systems, 286–300. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22649-7_23.
Texto completoActas de conferencias sobre el tema "Software acceleration"
Wu, Shengfeng, Yue Wu y Shiyi Xu. "Acceleration of Random Testing for Software". En 2013 IEEE 19th Pacific Rim International Symposium on Dependable Computing (PRDC). IEEE, 2013. http://dx.doi.org/10.1109/prdc.2013.15.
Texto completoSredojevic, Ranko, Andrew Wright y Vladimir Stojanovic. "Hardware-Software Codesign for Embedded Numerical Acceleration". En 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2013. http://dx.doi.org/10.1109/fccm.2013.27.
Texto completoTuran, Furkan, Ruan de Clercq, Pieter Maene, Oscar Reparaz y Ingrid Verbauwhede. "Hardware acceleration of a software-based VPN". En 2016 26th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2016. http://dx.doi.org/10.1109/fpl.2016.7577321.
Texto completoWei, Tianrui, Nazerke Turtayeva, Marcelo Orenes-Vera, Omkar Lonkar y Jonathan Balkind. "Cohort: Software-Oriented Acceleration for Heterogeneous SoCs". En ASPLOS '23: 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3582016.3582059.
Texto completoYaneva, Vanya. "Compiler-assisted test acceleration using GPUs". En ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3183440.3190337.
Texto completoBonelli, Nicola, Gregorio Procissi, Davide Sanvito y Roberto Bifulco. "The acceleration of OfSoftSwitch". En 2017 IEEE Conference on Network Function Virtualization and Software-Defined Networks (NFV-SDN). IEEE, 2017. http://dx.doi.org/10.1109/nfv-sdn.2017.8169842.
Texto completoGhis, Abdelkader, Kamel Smiri y Abderezzak Jemai. "Mixed Software/Hardware based Neural Network Learning Acceleration". En 16th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010606104170425.
Texto completoGhis, Abdelkader, Kamel Smiri y Abderezzak Jemai. "Mixed Software/Hardware based Neural Network Learning Acceleration". En 16th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010606100002992.
Texto completoAtoofian, Ehsan. "Acceleration of Software Transactional Memory through Hardware Clock". En International Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2613908.2613912.
Texto completoJin, Qiwei, David B. Thomas y Wayne Luk. "Automated application acceleration using software to hardware transformation". En 2009 International Conference on Field-Programmable Technology (FPT). IEEE, 2009. http://dx.doi.org/10.1109/fpt.2009.5377693.
Texto completoInformes sobre el tema "Software acceleration"
Olsen, B. Accelerator Production of Tritium Software Management Plan. Office of Scientific and Technical Information (OSTI), junio de 1998. http://dx.doi.org/10.2172/763183.
Texto completoRazdan, Rahul. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software. SAE International, abril de 2021. http://dx.doi.org/10.4271/epr2021009.
Texto completoHeuring, Vincent P. y William M. Waite. Accelerating the Transfer of Technology for Implementing Domain Specific Software Architectures. Fort Belvoir, VA: Defense Technical Information Center, abril de 1993. http://dx.doi.org/10.21236/ada264017.
Texto completoWaraniak, John. Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems. SAE International, marzo de 2021. http://dx.doi.org/10.4271/epr2021008.
Texto completoKerrigan, Susan, Phillip McIntyre y Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Bendigo. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.206968.
Texto completoTao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir y Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, diciembre de 2014. http://dx.doi.org/10.32747/2014.7594391.bard.
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