Results 241 to 250 of about 71,705 (264)

GPU-SM: shared memory multi-GPU programming

Proceedings of the 8th Workshop on General Purpose Processing using GPUs, 2015
Discrete GPUs in modern multi-GPU systems can transparently access each other's memories through the PCIe interconnect. Future systems will improve this capability by including better GPU interconnects such as NVLink. However, remote memory access across GPUs has gone largely unnoticed among programmers, and multi-GPU systems are still programmed like ...
Javier Cabezas, Marc Jordà, Isaac Gelado, Nacho Navarro, Wen-mei W. Hwu   +4 more
openaire   +1 more source

DTM@GPU: Characterizing and evaluating trace redundancy in GPU

Concurrency and Computation: Practice and Experience, 2018
SummaryIn a program, there is usually a significant amount of instructions that are repeatedly executed with the same inputs during the execution. This redundancy allows the reuse of previous computations, potentially reducing the program execution time.
Leandro A. J. Marzulo, Alexandre da Costa Sena, Alexandre Solon Nery, Cristiana Bentes, Igor Machado Coelho, Maria Clicia Stelling de Castro, Saulo T. Oliveira, Tiago A. O. Alves, Felipe M. G. França   +8 more
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Metaheuristics on GPUs

Journal of Parallel and Distributed Computing, 2013
El-Ghazali Talbi, Geir Hasle
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Instruction Scheduling for the GPU on the GPU

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
Ghassan Shobaki, Pinar Muyan-Özçelik, Josh Hutton, Bruce Linck, Vladislav Malyshenko, Austin Kerbow, Ronaldo Ramirez-Ortega, Vahl Scott Gordon   +7 more
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GPU physics

ACM SIGGRAPH 2007 courses, 2007
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Physics on GPUs

ACM SIGGRAPH 2007 computer animation festival, 2007
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?????????????? ???????????????????????????? ???????????????????????? ?????????????? ???????????????? ?????????????????? ?? ?????????? ?? ?????????????????????????? GPU

2020
The purpose of the paper is to experimentally investigate the factors that influence the performance of a ready-to-use neural network model application in GPU cloud systems of various architectures. Results. Overheads related to microservices and distributed architectures, memory, network, batch size, synchronous and asynchronous interactions are ...
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A Survey of CPU-GPU Heterogeneous Computing Techniques

ACM Computing Surveys, 2015
Sparsh Mittal, Jeffrey S Vetter, Mittalsparsh   +2 more
exaly  

Medical image processing on the GPU – Past, present and future

Medical Image Analysis, 2013
Anders Eklund, Daniel Forsberg, Stephen M Laconte   +2 more
exaly  

The GPU Computing Era

IEEE Micro, 2010
William J Dally
exaly