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pro vyhledávání: '"Milthorpe, Josh"'
The task-based dataflow programming model has emerged as an alternative to the process-centric programming model for extreme-scale applications. However, load balancing is still a challenge in task-based dataflow runtimes. In this paper, we present e
Externí odkaz:
http://arxiv.org/abs/2211.00838
Publikováno v:
In Future Generation Computer Systems July 2024 156:313-324
High-performance computing developers are faced with the challenge of optimizing the performance of OpenCL workloads on diverse architectures. The Architecture-Independent Workload Characterization (AIWC) tool is a plugin for the Oclgrind OpenCL simu
Externí odkaz:
http://arxiv.org/abs/2003.06064
OpenCL is an attractive model for heterogeneous high-performance computing systems, with wide support from hardware vendors and significant performance portability. To support efficient scheduling on HPC systems it is necessary to perform accurate pe
Externí odkaz:
http://arxiv.org/abs/1811.00156
Autor:
Johnston, Beau, Milthorpe, Josh
Publikováno v:
ICPP 2018 Proceedings of the 47th International Conference on Parallel Processing Companion
For reasons of both performance and energy efficiency, high-performance computing (HPC) hardware is becoming increasingly heterogeneous. The OpenCL framework supports portable programming across a wide range of computing devices and is gaining influe
Externí odkaz:
http://arxiv.org/abs/1805.03841
Autor:
Johnston, Beau, Milthorpe, Josh
Measuring performance-critical characteristics of application workloads is important both for developers, who must understand and optimize the performance of codes, as well as designers and integrators of HPC systems, who must ensure that compute arc
Externí odkaz:
http://arxiv.org/abs/1805.04207
Publikováno v:
Proceedings of The 40th Congress on Science and Technology of Thailand; 2014 Dec 2-4, Khon Kaen, Thailand. Bangkok: Science Society of Thailand; 2014. P. 233-241
Associated Legendre polynomials and spherical harmonics are central to calculations in many fields of science and mathematics - not only chemistry but computer graphics, magnetic, seismology and geodesy. There are a number of algorithms for these fun
Externí odkaz:
http://arxiv.org/abs/1410.1748
Akademický článek
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Publikováno v:
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA); 2015, p970-979, 10p
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