Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kevin Stock"'
Publikováno v:
The Journal of family practice. 69(8)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ed756d1592486d42beec4a0a88107aa4
https://pubmed.ncbi.nlm.nih.gov/33175929
https://pubmed.ncbi.nlm.nih.gov/33175929
Autor:
Martin Kong, P. Sadayappan, J. Ramanujam, Tobias Grosser, Louis-Noël Pouchet, Kevin Stock, Fabrice Rastello
Publikováno v:
PLDI '14-35th ACM SIGPLAN Conference on Programming Language Design and Implementation
PLDI '14-35th ACM SIGPLAN Conference on Programming Language Design and Implementation, Jun 2014, Edinburgh, United Kingdom. pp.65-76, ⟨10.1145/2594291.2594342⟩
PLDI
PLDI '14-35th ACM SIGPLAN Conference on Programming Language Design and Implementation, Jun 2014, Edinburgh, United Kingdom. pp.65-76, ⟨10.1145/2594291.2594342⟩
PLDI
The freedom to reorder computations involving associative operators has been widely recognized and exploited in designing parallel algorithms and to a more limited extent in optimizing compilers. In this paper, we develop a novel framework utilizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46fea7ffd1f7f25b43f2e9372d625e9c
https://doi.org/10.1145/2666356.2594342
https://doi.org/10.1145/2666356.2594342
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 8:1-23
Automatic vectorization is critical to enhancing performance of compute-intensive programs on modern processors. However, there is much room for improvement over the auto-vectorization capabilities of current production compilers through careful vect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4503c91e792a4928b0e4c26bedeee3b8
https://doi.org/10.1145/2086696.2086729
https://doi.org/10.1145/2086696.2086729
Autor:
Prashant Singh Rawat, Kevin Stock, Thomas Henretty, Martin Kong, J. Ramanujam, Justin Holewinski, P. Sadayappan, Atanas Rountev, Louis-Noël Pouchet
Publikováno v:
WOLFHPC@SC
Stencil computations are at the core of applications in a number of scientific computing domains. We describe a domain-specific language for regular stencil computations that allows specification of the computations in a concise manner. We describe a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f4c8112e6518218f2c724e0833785b
https://doi.org/10.1145/2830018.2830025
https://doi.org/10.1145/2830018.2830025
Autor:
Kevin Stock, Samyam Rajbhandari, P. Sadayappan, Pai-Wei Lai, Akshay Nikam, Sriram Krishnamoorthy
Publikováno v:
ICPP
Tensor contractions represent the most compute- intensive core kernels in abinitio computational quantum chemistry and nuclear physics. Symmetries in these tensor contractions make them difficult to load balance and scale to large distributed systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ae853b594c9406deaabfb7e9786104a
https://doi.org/10.1109/icpp.2014.35
https://doi.org/10.1109/icpp.2014.35
Publikováno v:
SC
In this paper, we introduce the Dynamic Load-balanced Tensor Contractions (DLTC), a domain-specific library for efficient task parallel execution of tensor contraction expressions, a class of computation encountered in quantum chemistry and physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647722274ecccaf9c2e4259626483552
https://doi.org/10.1145/2503210.2503290
https://doi.org/10.1145/2503210.2503290
Publikováno v:
PLDI
Data locality and parallelism are critical optimization objectives for performance on modern multi-core machines. Both coarse-grain parallelism (e.g., multi-core) and fine-grain parallelism (e.g., vector SIMD) must be effectively exploited, but despi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8590d134457f22cb48488bc79dbd97e8
https://doi.org/10.1145/2491956.2462187
https://doi.org/10.1145/2491956.2462187
Autor:
Iyyappa Thirunavukkarasu Murugandi, P. Sadayappan, Thomas Henretty, Kevin Stock, Robert W. Harrison
Publikováno v:
IPDPS
In this paper, we describe a model-driven compile-time code generator that transforms a class of tensor contraction expressions into highly optimized short-vector SIMD code. We use as a case study a multi-resolution tensor kernel from the MADNESS qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99cc4203bc733338a332b2f79a808330
https://doi.org/10.1109/ipdps.2011.101
https://doi.org/10.1109/ipdps.2011.101
Autor:
Thomas Henretty, Louis-Noël Pouchet, P. Sadayappan, Franz Franchetti, J. Ramanujam, Kevin Stock
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642198601
CC
CC
Stencil computations are at the core of applications in many domains such as computational electromagnetics, image processing, and partial differential equation solvers used in a variety of scientific and engineering applications. Short-vector SIMD i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb1d9e85a69fee8ed569a8d40f40a504
