Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jose Monsalve"'
For decades, memory capabilities have scaled up much slower than compute capabilities, leaving memory utilization as a major bottleneck. Prefetching and cache hierarchies mitigate this in applications with easily predictable memory accesses or those
Externí odkaz:
http://arxiv.org/abs/2302.00115
Autor:
Li, Mingfan, Lin, Han, Chen, Junshi, Diaz, Jose Monsalve, Xiao, Qian, Lin, Rongfen, Wang, Fei, Gao, Guang R., An, Hong
Publikováno v:
In Information Sciences September 2021 570:831-847
Autor:
Diaz, Jose Monsalve, Friedline, Kyle, Pophale, Swaroop, Hernandez, Oscar, Bernholdt, David E., Chandrasekaran, Sunita
Publikováno v:
In Parallel Computing November 2019 89
Autor:
Mingfan Li, Qian Xiao, Junshi Chen, Rongfen Lin, Fei Wang, Guang R. Gao, Han Lin, Jose Monsalve Diaz, Hong An
Publikováno v:
Information Sciences. 570:831-847
Deep learning technology is widely used in many modern fields and a number of models and software frameworks have been proposed. However, it is still very difficult to process deep learning tasks efficiently on traditional high performance computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85dd0f956723ecae0eb701eb60f8a1d3
https://doi.org/10.1016/j.ins.2020.12.079
https://doi.org/10.1016/j.ins.2020.12.079
Autor:
Dawson Fox, Guang R. Gao, Jose Monsalve Diaz, Siddhisanket Raskar, Ryan Kabrick, Diego A. Roa Perdomo
Publikováno v:
IPDRM@SC
Since IBM first introduced the Instruction Set Architecture (ISA), there has been tremendous research conducted on novel hardware architectures and new high-level software frameworks, perhaps to a fault. With innovation came an ever growing gap betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1036016e09a9f6667493182ce3dd0b
https://doi.org/10.1109/ipdrm51949.2020.00009
https://doi.org/10.1109/ipdrm51949.2020.00009
Autor:
Diego A. Roa Perdomo, Ryan Kabrick, Jose Monsalve Diaz, Siddhisanket Raskar, Dawson Fox, Guang R. Gao
Publikováno v:
IPDRM@SC
Scientists running applications on high performance computers expect these systems to deliver a high throughput effectively and reliably, while maintaining flexibility, programmability and energy efficiency. Programs are usually translated from a cod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93b9202d81e98462a4d3ed15a50d1199
https://doi.org/10.1109/ipdrm51949.2020.00008
https://doi.org/10.1109/ipdrm51949.2020.00008
Publikováno v:
IPDRM@SC
The Sequential Codelet Model is a definition of a program execution model that aims to achieve parallel execution of programs that are expressed sequentially and in a hierarchical manner. The Sequential Codelet Model heavily borrows from the successf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ccd551024dd5c9e353aab7a27d7be7
https://doi.org/10.1109/ipdrm49579.2019.00005
https://doi.org/10.1109/ipdrm49579.2019.00005
Publikováno v:
HPCC/SmartCity/DSS
Deep learning technology is widely used in many modern fields and a number of deep learning models and software frameworks have been proposed. However, it is still very difficult to process deep learning tasks efficiently on traditional high performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e988f1a42b57cb7e5b70c31312ee6c
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00345
https://doi.org/10.1109/hpcc/smartcity/dss.2019.00345
Publikováno v:
COMPSAC (2)
Brain-inspired computing is a novel computing technology based on neural morphological engineering, which draws lessons from methods of human brain information processing and storage. Combining with the high-performance computing (HPC) platform, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df239471c81c63f8badb445f23bd964
https://doi.org/10.1109/compsac.2019.10278
https://doi.org/10.1109/compsac.2019.10278
Publikováno v:
OpenMP: Conquering the Full Hardware Spectrum ISBN: 9783030285951
IWOMP
IWOMP
OpenMP is a well established, single-source programming language extension to introduce parallelism into (historically) sequential base languages, namely C/C++ and Fortran. To program not only multi-core CPUs but also many-cores and heavily parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40cb1ed333615692f5496627ceef81f
https://doi.org/10.1007/978-3-030-28596-8_11
https://doi.org/10.1007/978-3-030-28596-8_11