Results 261 to 270 of about 156,766 (287)

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
openaire   +1 more source

ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming

IEEE Computer Architecture Letters, 2014
Programmer-managed GPU memory is a major challenge in writing GPU applications. Programmers must rewrite and optimize an existing code for a different GPU memory size for both portability and performance. Alternatively, they can achieve only portability by disabling GPU memory at the cost of significant performance degradation.
Youngsok Kim, Jaewon Lee, Donggyu Kim, Jangwoo Kim   +3 more
openaire   +2 more sources

Topology-Aware GPU Selection on Multi-GPU Nodes

2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016
GPU accelerators have successfully established themselves in modern HPC clusters due to their high performance and energy efficiency. To increase the GPU computational power in a cluster node and tackle larger problems, multi-GPU nodes have become the platform of choice for scientific applications.
Iman Faraji, Seyed Hessam Mirsadeghi, Ahmad Afsahi   +2 more
openaire   +2 more sources

The bifrost GPU architecture and the ARM Mali-G71 GPU

2016 IEEE Hot Chips 28 Symposium (HCS), 2016
■ Leverages Mali's scalable architecture ■ Scalable to 32 shader cores ■ Major shader core redesign ■ New scalar, clause-based ISA ■ New quad-based arithmetic units ■ New geometry data flow ■ Reduces memory bandwidth and footprint ■ Support for fine grain buffer sharing with the ...
openaire   +2 more sources

Metaheuristics on GPUs

Journal of Parallel and Distributed Computing, 2013
El-Ghazali Talbi, Geir Hasle
openaire   +1 more source

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
openaire   +1 more source

GPU physics

ACM SIGGRAPH 2007 courses, 2007
openaire   +1 more source

?????????????? ???????????????????????????? ???????????????????????? ?????????????? ???????????????? ?????????????????? ?? ?????????? ?? ?????????????????????????? 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 ...
openaire   +1 more source

Physics on GPUs

ACM SIGGRAPH 2007 computer animation festival, 2007
openaire   +1 more source

A Survey of CPU-GPU Heterogeneous Computing Techniques

ACM Computing Surveys, 2015
Jeffrey Vetter, Sparsh Mittal
exaly