Literatura académica sobre el tema "Projection de performance"
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Artículos de revistas sobre el tema "Projection de performance"
Ramanath, Rohan, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin y Kinjal Basu. "Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 4 (28 de junio de 2022): 3821–29. http://dx.doi.org/10.1609/aaai.v36i4.20297.
Texto completoLi, Dong, Danli Wang y Dongdong Weng. "Non-planar projection performance evaluation and projector pose optimization". Journal of the Society for Information Display 26, n.º 6 (4 de mayo de 2018): 352–68. http://dx.doi.org/10.1002/jsid.633.
Texto completoShi, Xudong, Feiqi Su, Jih-kwon Peir, Ye Xia y Zhen Yang. "CMP cache performance projection". ACM SIGARCH Computer Architecture News 35, n.º 1 (marzo de 2007): 13–20. http://dx.doi.org/10.1145/1241601.1241607.
Texto completoBhatnagar, Saakaar. "Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks". Mathematical and Computational Applications 29, n.º 1 (24 de enero de 2024): 9. http://dx.doi.org/10.3390/mca29010009.
Texto completoÖzge Onur, Tuğba. "An application of filtered back projection method for computed tomography images". International Review of Applied Sciences and Engineering 12, n.º 2 (29 de mayo de 2021): 194–200. http://dx.doi.org/10.1556/1848.2021.00231.
Texto completoZheng, Wei, Bin Li, Shu Bo Ren, Jiang Chen y Jian Jun Wu. "Interference Modeling and Analysis for Inclined Projective Multiple Beams of GEO Satellite Communication Systems". Advanced Materials Research 756-759 (septiembre de 2013): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1204.
Texto completoWehner, Michael, David R. Easterling, Jay H. Lawrimore, Richard R. Heim, Russell S. Vose y Benjamin D. Santer. "Projections of Future Drought in the Continental United States and Mexico". Journal of Hydrometeorology 12, n.º 6 (1 de diciembre de 2011): 1359–77. http://dx.doi.org/10.1175/2011jhm1351.1.
Texto completoWang, Jiangang, Yuning Cui, Yawen Li, Wenqi Ren y Xiaochun Cao. "Omnidirectional Image Super-resolution via Bi-projection Fusion". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 6 (24 de marzo de 2024): 5454–62. http://dx.doi.org/10.1609/aaai.v38i6.28354.
Texto completoGu, Jiaxin, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu y David Doermann. "Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 8344–51. http://dx.doi.org/10.1609/aaai.v33i01.33018344.
Texto completoMoreira de Sousa, Luís, Laura Poggio y Bas Kempen. "Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices". ISPRS International Journal of Geo-Information 8, n.º 8 (9 de agosto de 2019): 351. http://dx.doi.org/10.3390/ijgi8080351.
Texto completoTesis sobre el tema "Projection de performance"
Hagerman, James B. "Speak the Speech: Lessons in Projection, Clarity and Performance". Otterbein University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=otbn1589913342610542.
Texto completoHsu, Shu-Ting. "High performance micro scanners for miniature laser projection displays". Dresden TUDpress, 2009. http://d-nb.info/996064125/04.
Texto completoKnapton, Benjamin W. "Using digital projection to evoke aesthetic ideas in performance". Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/78129/1/Benjamin_Knapton_Thesis.pdf.
Texto completoChau-Dang, Tiffanie T. "Using Optical Illusions to Enhance Projection Design for Live Performance". Kent State University Honors College / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1588376296563101.
Texto completoGavoille, Clément. "Approche de projection de performance pour l’exploration de paramètres de conception de l’environnement Arm en HPC". Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0004.
Texto completoToday’s science increasingly uses simulation to model and understand the world around us. To improve their speed, accuracy, and modeling capabilities, scientists rely on supercomputers, the domain of expertise of High-Performance Computing. As the demand for computing power keeps growing, these machines must become ever more powerful. However, the reduction in transistor size predicted by Moore’s Law is no longer sufficient to drive the evolution of processors, the core of supercomputer power. Hence, these machines are becoming increasingly complex to answer this increasing demand. The performance of HPC applications depends on interactions between varied application behavior, a complex processor architecture, and the choices made by the software stack. As a result, optimizing applications’ performance on these machines is a tedious task. One solution to simplify optimization efforts and improve applications’ performance is to bring together all HPC actors in a codesign environment for designing future machines. In an environment where the interests of applications drive the choices made by constructors, the processors and software stack will be adapted to the needs of future users. It is all the more vital with the recent arrival of the Arm environment in HPC, already representing 10% total computing power of the Top500 with just six machines, because this environment offers manufacturers great freedom in their choice of processor characteristics. However, in such a codesign environment, it is mandatory to use a performance prediction approach that accounts for the impact of the choices made by all players to drive the design-space exploration. In this thesis, we implement a performance projection approach adapted to our definition of a codesign environment that groups the actors and aspects of application performance into three groups: the application, the software stack, and the hardware. This model takes the form of a three-step process for projecting an accessible application/software stack/source hardware triplet onto a future target triplet of interest, which is inaccessible. These steps are performance characterization of our three aspects, followed by performance analysis on the source triplet, which finally leads to a projection of performance towards the target triplet as a function of the differences between its parameters and those of the source triplet. Then, we implement this approach using a Roofline model representation, in which we focus on the maximum performance attainable by the triplets and project performance with an assumption of architectural efficiency conservation. We then use this model to analyze and explore hardware parameters such as hardware vector size and choice of memory type on different Arm core architectures. Finally, we extend this exploration to multi-core architectures by refining the characterization of the bandwidth and the workload of each core. Then, we use this extension for the exploration of application and software stack parameters on a future HPC architecture of interest: the EPI (European Processor Initiative) processor
Choi, Dongsoo. "Susannah". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78004.
Texto completoMaster of Fine Arts
Alwathainani, Abdulaziz. "Do Investors Over-react to Patterns of Past Financial Performance Measures?" VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/756.
Texto completoTrimeloni, Thomas. "Accelerating Finite State Projection through General Purpose Graphics Processing". VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/175.
Texto completoSaluru, Sarat K. "Projection of TaSiOx/In0.53Ga0.47As Tri-gate transistor performance for future Low-Power Electronic Applications". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78028.
Texto completoMaster of Science
Gasc, Thibault. "Modèles de performance pour l'adaptation des méthodes numériques aux architectures multi-coeurs vectorielles. Application aux schémas Lagrange-Projection en hydrodynamique compressible". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLN063/document.
Texto completoThis works are dedicated to hydrodynamics. For decades, numerous numerical methods has been developed to deal with this type of problems. However, both the evolution and the complexity of computing make us rethink or redesign our numerical solver in order to use efficiently massively parallel computers. Using performance modeling, we perform an analysis of a reference Lagrange-Remap solver in order to deeply understand its behavior on current supercomputer and to optimize its implementation. Thanks to the conclusions of this analysis, we derive a new numerical solver which by design has a better performance. We call it the Lagrange-Flux solver. The accuracy obtained with this solver is similar to the reference one. The derivation of this method also leads to rethink the Remap step
Libros sobre el tema "Projection de performance"
Expanded cinema: Art, performance, film. London: Tate Gallery Pub., 2011.
Buscar texto completo1946-, Steeb Randall, United States Army, United States. Dept. of Defense. Office of the Secretary of Defense., Arroyo Center, National Defense Research Institute (U.S.) y Rand Corporation, eds. Rapid force projection technologies: Assessing the performance of advanced ground sensors. Santa Monica, CA (1700 Main Street, P.O. Box 2138, Santa Monica, 90407-2138): Rand, 2000.
Buscar texto completoProjectile impact: Modelling techniques and target performance assessment. Southampton, Boston: WIT Press, 2014.
Buscar texto completoGaethke-Brandt, Jane E. The effect of auditory subliminal deactivating messages on motor and task performance of hyperkinetic children. 1986.
Buscar texto completoDobbins, Alison C. Projection Design for Theatre and Live Performance: Principles of Media Design. Taylor & Francis Group, 2021.
Buscar texto completoDobbins, Alison C. Projection Design for Theatre and Live Performance: Principles of Media Design. Routledge, 2021.
Buscar texto completoDobbins, Alison C. Projection Design for Theatre and Live Performance: Principles of Media Design. Taylor & Francis Group, 2021.
Buscar texto completoDobbins, Alison C. Projection Design for Theatre and Live Performance: Principles of Media Design. Taylor & Francis Group, 2021.
Buscar texto completoDobbins, Alison C. Projection Design for Theatre and Live Performance: Principles of Media Design. Routledge, 2021.
Buscar texto completoSoyres, Constance de y Henry Mooney. Debt Sustainability Analyses for Low-Income Countries: An Assessment of Projection Performance. International Monetary Fund, 2017.
Buscar texto completoCapítulos de libros sobre el tema "Projection de performance"
Kononov, Yuri D. "The Effect of the Projection Time Frame on Projection Performance and Projection Performance Requirements". En Long-term Modeled Projections of the Energy Sector, 1–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30533-8_1.
Texto completoGavoille, Clément, Hugo Taboada, Patrick Carribault, Fabrice Dupros, Brice Goglin y Emmanuel Jeannot. "Relative Performance Projection on Arm Architectures". En Euro-Par 2022: Parallel Processing, 85–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12597-3_6.
Texto completoGarey, L. E., R. E. Shaw y J. Zhang. "Parallel Projection Algorithms for Tridiagonal Toeplitz Systems". En High Performance Computing Systems and Applications, 75–86. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0288-3_15.
Texto completoLee, Jaewoon, Yeonjin Kim, Myeong-Hyeon Heo, Dongho Kim y Byeong-Seok Shin. "Real-Time Projection Mapping for Performance Arts". En Computer Science and its Applications, 163–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45402-2_24.
Texto completoFan, Shikun, Muzi Gao y Yingfan Lu. "Projection of Intel’s Financial Performance in 2022". En Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 224–32. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-036-7_33.
Texto completoDobbins, Alison C. "Animatic". En Projection Design for Theatre and Live Performance, 72–82. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003137207-8.
Texto completoDobbins, Alison C. "Jargon". En Projection Design for Theatre and Live Performance, 105–12. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003137207-11.
Texto completoDobbins, Alison C. "Storyboard". En Projection Design for Theatre and Live Performance, 39–49. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003137207-5.
Texto completoDobbins, Alison C. "Introduction". En Projection Design for Theatre and Live Performance, 1–2. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003137207-1.
Texto completoDobbins, Alison C. "Cueing". En Projection Design for Theatre and Live Performance, 83–87. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003137207-9.
Texto completoActas de conferencias sobre el tema "Projection de performance"
Stearns, D. G. "High Performance Multilayer X-Ray Optics". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/sxray.1991.wc2.
Texto completoGutman, Georgy, Kevin Parker, James L. Wood y Richard Watts. "Multilayer Performance for Soft X-ray Schwarzchild Optics". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/sxray.1992.tub4.
Texto completoViswanathan, V. K. "Practical Tolerancing and Performance Implications for XUV Projection Lithography Reduction Systems*". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/sxray.1992.tua4.
Texto completoKortright, J. B. y R. Watts. "Multilayer Period Uniformity and Performance of Soft X-ray Imaging Systems". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/sxray.1991.thb2.
Texto completoMansfield, W. M., O. R. Wood, J. E. Bjorkholm, J. Bokor, R. R. Freeman, A. A. MacDowell, L. H. Szeto et al. "Effects of Absorption on Resist Performance in Soft X-Ray Projection Lithography". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/sxray.1991.thd4.
Texto completoBijkerk, F., E. Louis, L. Shmaenok, H. J. Voorma, M. J. van der Wiel, R. Schlatmann, J. Verhoeven et al. "Enhanced performance of KrF laser-induced x-ray sources and multilayer mirrors for soft x-ray projection lithography". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/sxray.1993.wa.1.
Texto completoLin, Chun C., Tu-Yiin Chang y Chie-Ching Lin. "Performance measurement of projection display". En Photonics China '96, editado por Eric G. Lean, Zhiren Tian y Bao Gang Wu. SPIE, 1996. http://dx.doi.org/10.1117/12.253327.
Texto completoJones, Philip J., Akira Tomita y Mark Wartenberg. "Performance of NCAP projection displays". En Medical Imaging '91, San Jose, CA, editado por Harry M. Assenheim, Richard A. Flasck, Thomas M. Lippert y Jerry Bentz. SPIE, 1991. http://dx.doi.org/10.1117/12.45414.
Texto completoTsuji, Miwako, William T. C. Kramer y Mitsuhisa Sato. "A Performance Projection of Mini-Applications onto Benchmarks Toward the Performance Projection of Real-Applications". En 2017 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2017. http://dx.doi.org/10.1109/cluster.2017.123.
Texto completoViswanathan, V. K. y Brian E. Newnam. "Development of Reflective Optical Systems for XUV Projection Lithography*". En Soft X-Ray Projection Lithography. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/sxray.1991.fb2.
Texto completoInformes sobre el tema "Projection de performance"
Brailsford, D., M. Brunetti, Saul Alonso Monsalve, A. Blake, Andy Chappell, J. Marshall, L. Whitehead y E. Worcester. Reconstruction performance studies for liquid argon time projection chambers with two and three readout planes. Office of Scientific and Technical Information (OSTI), enero de 2021. http://dx.doi.org/10.2172/1826741.
Texto completoRoberts, Benedict C., Charles Noll, Jeffrey J. Hobbs, Edward Dawson y Robert Greiner. An Analysis of the Requirements Levels and Performance Projection Modules of the Corporate Information Management Requirements System. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1994. http://dx.doi.org/10.21236/ada285766.
Texto completoCarrasquilla Barrera, Alberto, Arturo José Galindo Andrade, Gerardo Alfredo Hernández Correa, Ana Fernanda Maiguashca Olano, Carolina Soto Losada, Roberto Steiner Sampedro y Juan José Echavarría Soto. Report of the Board of Directors to the Congress of Colombia - March 2020. Banco de la República de Colombia, marzo de 2020. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2020.
Texto completoPF Baldasaro, MW Dashiell, JE Oppenlander, JL Vell, P Fourspring, K Rahner, LR Danielson, S Burger y E Brown. System Performance Projections for TPV Energy Conversion. Office of Scientific and Technical Information (OSTI), junio de 2004. http://dx.doi.org/10.2172/837457.
Texto completoMajeski, R., L. Berzak, T. Gray, R. Kaita, T. Kozub, F. Levinton, D. P. Lundberg et al. Performance Projections For The Lithium Tokamak Experiment (LTX). Office of Scientific and Technical Information (OSTI), junio de 2009. http://dx.doi.org/10.2172/958400.
Texto completoCelina, Mathias C., Nicholas Henry Giron y Adam Quintana. Aging Behavior and Performance Projections for a Polysulfide Elastomer. Office of Scientific and Technical Information (OSTI), mayo de 2015. http://dx.doi.org/10.2172/1183359.
Texto completoBhatele, A., P. Bremer, T. Gamblin y M. Schulz. Intuitive visualizations through multi-domain projections for performance analysis at scale. Office of Scientific and Technical Information (OSTI), marzo de 2012. http://dx.doi.org/10.2172/1090833.
Texto completoLeptinsky, Sarah, Tommy Schmitt, Alex Zoelle, Sally Homsy, Mark Woods, Travis Shultz, Jeff Hoffmann y Gregory Hackett. Cost and Performance Projections for Coal- and Natural Gas-Fired Power Plants. Office of Scientific and Technical Information (OSTI), mayo de 2023. http://dx.doi.org/10.2172/1988750.
Texto completoRuosteenoja, Kimmo. Applicability of CMIP6 models for building climate projections for northern Europe. Finnish Meteorological Institute, septiembre de 2021. http://dx.doi.org/10.35614/isbn.9789523361416.
Texto completoJadun, Paige, Colin McMillan, Daniel Steinberg, Matteo Muratori, Laura Vimmerstedt y Trieu Mai. Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050. Office of Scientific and Technical Information (OSTI), diciembre de 2017. http://dx.doi.org/10.2172/1416113.
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