Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Chung-Hsing Hsu"'
Autor:
Chung-Hsing Hsu, Neena Imam
Publikováno v:
International Journal of Networking and Computing. 11:78-101
High Performance Computing has been a driving force behind important tasks such as scientific discovery and deep learning. It tends to achieve performance through greater concurrency and heterogeneity, where the underlying complexity of richer topolo
Publikováno v:
IPDPS Workshops
High Performance Computing has been a driving force behind important tasks such as scientific discovery and deep learning. It tends to achieve performance through greater concurrency and heterogeneity, where the underlying complexity of richer topolo
Publikováno v:
IPDPS Workshops
Accurate component-level power measurements are nowadays essential for the design and optimization of high-performance computing (HPC) systems and applications. Particularly, as more and more heterogeneous HPC systems are developed, the characterizat
Publikováno v:
IPDPS Workshops
With increasing high performance computing(HPC) energy consumption and the rising cost of energy, it hasbecome important to be able to monitor and manage energy andpower consumption. Dashboards will monitor and display energyand power consumption of
Autor:
Wu-chun Feng, Chung-Hsing Hsu
Publikováno v:
IPDPS Workshops
About ten years ago, we presented the results of an effort to identify the "right metric" for efficient supercomputing at this workshop, The Workshop on High-Performance, Power-Aware Computing. In this paper, we review the advances that the community
Publikováno v:
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments ISBN: 9783319509945
OpenSHMEM
OpenSHMEM
As we continue to develop extreme-scale systems, it is becoming increasingly important to be mindful and more in control of power consumed by these systems. With high performance requirements being more constrained by power and data movement quickly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29bef75cd66c4abb00a24e42d85a5312
https://doi.org/10.1007/978-3-319-50995-2_17
https://doi.org/10.1007/978-3-319-50995-2_17
Publikováno v:
Concurrency and Computation: Practice and Experience. 25:1072-1088
Autor:
Anatoly Klypin, V. Turchaninov, Stefan Gottloeber, Yann Rasera, Daniel Ceverino, Frazer R. Pearce, Joachim Stadel, Fabrice Roy, Peter Behroozi, Paul M. Sutter, Chung-Hsing Hsu, Dylan Tweed, Juerg Diemand, Paul M. Ricker, Marcel Zemp, Mark C. Neyrinck, Gustavo Yepes, Patricia Fasel, Doug Potter, Michal Maciejewski, Greg Stinson, Steffen R. Knollmann, Volker Springel, Miguel A. Aragon-Calvo, Alexander Knebe, Susana Planelles, Francesca Iannuzzi, Yago Ascasibar, Stuart I. Muldrew, Zarija Lukić, Vicent Quilis, Jeffrey P. Gardner, Klaus Dolag, Justin I. Read, Cameron K. McBride, Stephane Colombi, Bridget Falck
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 415:2293-2318
[abridged] We present a detailed comparison of fundamental dark matter halo properties retrieved by a substantial number of different halo finders. These codes span a wide range of techniques including friends-of-friends (FOF), spherical-overdensity
Autor:
Ulrich Kremer, Chung-Hsing Hsu
Publikováno v:
The Journal of Supercomputing. 27:279-294
Loop tiling is an effective optimizing transformation to boost the memory performance of a program, especially for dense matrix scientific computations. The magnitude and stability of the achieved performance improvements are heavily dependent on the
Autor:
Chung-Hsing Hsu, Ulrich Kremer
Publikováno v:
PLDI
This paper presents the design and implementation of a compiler algorithm that effectively optimizes programs for energy usage using dynamic voltage scaling (DVS). The algorithm identifies program regions where the CPU can be slowed down with negligi