Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ehsan Totoni"'
Publikováno v:
The International Journal of High Performance Computing Applications. 31:451-466
Operating chips at high energy efficiency is one of the major challenges for modern large-scale supercomputers. Low-voltage operation of transistors increases the energy efficiency but leads to frequency and power variation across cores on the same c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5af3ae9d8df955b7aa3fdeb2d7d9a52
https://doi.org/10.1177/1094342016672082
https://doi.org/10.1177/1094342016672082
Autor:
Esteban Meneses, Bilge Acun, Ehsan Totoni, Osman Sarood, Harshitha Menon, Akhil Langer, Laxmikant V. Kale
Publikováno v:
Computer. 49:30-37
In a design based on the Charm++ parallel programming framework, an adaptive runtime system dynamically interacts with a datacenter's resource manager to control power by intelligently scheduling jobs, reallocating resources, and reconfiguring hardwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973d230441c04529af32d48c64f6e7f1
https://doi.org/10.1109/mc.2016.310
https://doi.org/10.1109/mc.2016.310
Autor:
Rajkishore Barik, Tatiana Shpeisman, Ehsan Totoni, Chick Markley, Armando Fox, Hai Liu, Leonard Truong
Publikováno v:
PLDI
Deep neural networks (DNNs) have undergone a surge in popularity with consistent advances in the state of the art for tasks including image recognition, natural language processing, and speech recognition. The computationally expensive nature of thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4beba0457159fec3dce34578607845a2
https://doi.org/10.1145/2980983.2908105
https://doi.org/10.1145/2980983.2908105
Publikováno v:
ACM Transactions on Parallel Computing. 1:1-21
Networks are among major power consumers in large-scale parallel systems. During execution of common parallel applications, a sizeable fraction of the links in the high-radix interconnects are either never used or are underutilized. We propose a runt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17bdb40ca02775fb24da1cc23a8edb62
https://doi.org/10.1145/2687001
https://doi.org/10.1145/2687001
Publikováno v:
HotOS
Big data systems such as Spark are built around the idea of splitting an iterative parallel program into tiny tasks with other aspects of system design built around this basic design principle. Unfortunately, in spite of immense engineering effort, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a7cc6b9c118ba8ee71f5e221892af55
https://doi.org/10.1145/3102980.3103004
https://doi.org/10.1145/3102980.3103004
Autor:
Hai Liu, Todd A. Anderson, Ehsan Totoni, Denis Nagorny, Anton Malakhov, Andres Guzman-Ballen, Sergey Maidanov, Oleksandr Pavlyk
Publikováno v:
Proceedings of the 16th Python in Science Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ef3064de8f2fdc626bfc928478f101
https://doi.org/10.25080/shinma-7f4c6e7-00f
https://doi.org/10.25080/shinma-7f4c6e7-00f
Publikováno v:
Parallel Computing. 40:454-470
Solving sparse triangular systems of linear equations is a performance bottleneck in many methods for solving more general sparse systems. Both for direct methods and for many iterative preconditioners, it is used to solve the system or improve an ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408f0cb17d56b7c5068a2e131e438b9d
https://doi.org/10.1016/j.parco.2014.06.006
https://doi.org/10.1016/j.parco.2014.06.006
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 10:1-25
We optimize a visual object detection application (that uses Vision Video Library kernels) and show that OpenCL is a unified programming paradigm that can provide high performance when running on the Ivy Bridge heterogeneous on-chip architecture. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15877c16761bd7307830176df57db9f2
https://doi.org/10.1145/2541228.2555302
https://doi.org/10.1145/2541228.2555302
Publikováno v:
IEEE Transactions on Computers. 61:1752-1764
As we move to exascale machines, both peak power demand and total energy consumption have become prominent challenges. A significant portion of that power and energy consumption is devoted to cooling, which we strive to minimize in this work. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f41e338e3fb0468e70253383b6726d87
https://doi.org/10.1109/tc.2012.143
https://doi.org/10.1109/tc.2012.143
Publikováno v:
ICS
Big data analytics requires high programmer productivity and high performance simultaneously on large-scale clusters. However, current big data analytics frameworks (e.g. Apache Spark) have prohibitive runtime overheads since they are library-based.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433f0eabc634796b949d74ee835824a1
