Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gert-Jan van den Braak"'
Autor:
Gert-Jan van den Braak, Henk Corporaal, Juan Gómez-Luna, José María González-Linares, Nicolás Guil
Publikováno v:
IEEE Transactions on Computers, 65(7):7271051, 2045-2058. IEEE Computer Society
Scratchpad memories in GPU architectures are employed as software-controlled caches to increase the effective GPU memory bandwidth. Through the use of well-known optimization techniques, such as privatization and tiling, they are properly exploited.
Autor:
Henk Corporaal, Gert-Jan van den Braak
Publikováno v:
ACM Transactions on Architecture and Code Optimization, 13(1):12. Association for Computing Machinery, Inc
Over the last decade, Graphics Processing Unit (GPU) architectures have evolved from a fixed-function graphics pipeline to a programmable, energy-efficient compute accelerator for massively parallel applications. The compute power arises from the GPU
Publikováno v:
Proceedings of SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis
SC
SC
In the last decade, GPUs have emerged to be widely adopted for general-purpose applications. To capture on-chip locality for these applications, modern GPUs have integrated multilevel cache hierarchy, in an attempt to reduce the amount and latency of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29066b75be4b1a84a0658a003cdf9785
http://www.scopus.com/inward/record.url?scp=84966487021&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=84966487021&partnerID=8YFLogxK
Publikováno v:
ICS 2015-Proceedings of the 29th ACM International Conference on Supercomputing, 109-118
STARTPAGE=109;ENDPAGE=118;TITLE=ICS 2015-Proceedings of the 29th ACM International Conference on Supercomputing
ICS
STARTPAGE=109;ENDPAGE=118;TITLE=ICS 2015-Proceedings of the 29th ACM International Conference on Supercomputing
ICS
The last decade has witnessed the blooming emergence of many-core platforms, especially the graphic processing units (GPUs). With the exponential growth of cores in GPUs, utilizing them efficiently becomes a challenge. The data-parallel programming m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b857be7f092185022845b192df4772a
https://research.tue.nl/nl/publications/691c582c-8222-42c8-9782-30ec38fea31d
https://research.tue.nl/nl/publications/691c582c-8222-42c8-9782-30ec38fea31d
Publikováno v:
20th IEEE Int. Symp. on High Performance Computer Architecture (HPCA-2014)
HPCA
Vrije Universiteit Amsterdam
Nugteren, C, van den Braak, G-J, Corporaal, H & Bal, H E 2014, A Detailed GPU Cache Model Based on Reuse Distance Theory . in 20th IEEE Int. Symp. on High Performance Computer Architecture (HPCA-2014) . IEEE CS .
Proceedings of the IEEE 20th International Symposium on High Performance Computer Architecture (HPCA), 15-19 February 2014, Orlando, Florida, 37-48
STARTPAGE=37;ENDPAGE=48;TITLE=Proceedings of the IEEE 20th International Symposium on High Performance Computer Architecture (HPCA), 15-19 February 2014, Orlando, Florida
HPCA
Vrije Universiteit Amsterdam
Nugteren, C, van den Braak, G-J, Corporaal, H & Bal, H E 2014, A Detailed GPU Cache Model Based on Reuse Distance Theory . in 20th IEEE Int. Symp. on High Performance Computer Architecture (HPCA-2014) . IEEE CS .
Proceedings of the IEEE 20th International Symposium on High Performance Computer Architecture (HPCA), 15-19 February 2014, Orlando, Florida, 37-48
STARTPAGE=37;ENDPAGE=48;TITLE=Proceedings of the IEEE 20th International Symposium on High Performance Computer Architecture (HPCA), 15-19 February 2014, Orlando, Florida
As modern GPUs rely partly on their on-chip memories to counter the imminent off-chip memory wall, the efficient use of their caches has become important for performance and energy. However, optimising cache locality system-atically requires insight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8eb6190a206b467b499de9d7780695b
https://research.tue.nl/en/publications/66653e1d-2ce7-44ab-8543-744cd8fa4d3b
https://research.tue.nl/en/publications/66653e1d-2ce7-44ab-8543-744cd8fa4d3b
Autor:
Gert-Jan van den Braak, Henk Corporaal
Publikováno v:
M-SCOPES
Proceedings of the 16th Internation Workshop on Software and Compilers for Embedded systems 2013 (M-SCOPES "13), 19-21 June 2013, St. Goar, Germany, 86-89
STARTPAGE=86;ENDPAGE=89;TITLE=Proceedings of the 16th Internation Workshop on Software and Compilers for Embedded systems 2013 (M-SCOPES "13), 19-21 June 2013, St. Goar, Germany
Proceedings of the 16th Internation Workshop on Software and Compilers for Embedded systems 2013 (M-SCOPES "13), 19-21 June 2013, St. Goar, Germany, 86-89
STARTPAGE=86;ENDPAGE=89;TITLE=Proceedings of the 16th Internation Workshop on Software and Compilers for Embedded systems 2013 (M-SCOPES "13), 19-21 June 2013, St. Goar, Germany
GPUs have evolved to programmable, energy efficient compute accelerators for massively parallel applications. Still, compute power is lost in many applications because of cycles spent on data movement and control instead of computations on actual dat
Publikováno v:
Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, 18-22 March 2013, Grenoble, France, 392-395
STARTPAGE=392;ENDPAGE=395;TITLE=Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, 18-22 March 2013, Grenoble, France
STARTPAGE=392;ENDPAGE=395;TITLE=Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, 18-22 March 2013, Grenoble, France
As graphics processing units (GPUs) are becoming increasingly popular for general purpose workloads (GPGPU), the question arises how such processors will evolve architecturally in the near future. In this work, we identify and discuss trade-offs for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fcf7c4788769264417dc74343e84e18
https://research.tue.nl/nl/publications/bc604950-258c-4d30-a092-a03e4da5dd8b
https://research.tue.nl/nl/publications/bc604950-258c-4d30-a092-a03e4da5dd8b
Publikováno v:
Proceedings of the Fourth Workshop on General Purpose Processing on Graphics Processing Units (GPGPU) at ASPLOS'11. 5 March 2011, Newport Beach, California
GPGPU
GPGPU
Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image processing, due to their massive parallel processing power. Many image processing applications use the histogramming algorithm, which fills a set of bins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ed5dc04241a1c35b90c2428fe24ffde
https://research.tue.nl/en/publications/017a4d0c-4cbd-4329-8c7d-cd1a776c7105
https://research.tue.nl/en/publications/017a4d0c-4cbd-4329-8c7d-cd1a776c7105