Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Afzal, Ayesha"'
A parallel program together with the parallel hardware it is running on is not only a vehicle to solve numerical problems, it is also a complex system with interesting dynamical behavior: resynchronization and desynchronization of parallel processes,
Externí odkaz:
http://arxiv.org/abs/2310.05701
In this work, fundamental performance, power, and energy characteristics of the full SPEChpc 2021 benchmark suite are assessed on two different clusters based on Intel Ice Lake and Sapphire Rapids CPUs using the MPI-only codes' variants. We use memor
Externí odkaz:
http://arxiv.org/abs/2309.05373
Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI communicatio
Externí odkaz:
http://arxiv.org/abs/2302.12164
Publikováno v:
Review of Accounting and Finance, 2024, Vol. 23, Issue 3, pp. 394-418.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RAF-10-2023-0341
Autor:
Afzal, Ayesha1 (AUTHOR), Jamshaid, Harooma1 (AUTHOR), Badshah, Yasmin1 (AUTHOR) yasmeenb_1982@yahoo.com, Shabbir, Maria1 (AUTHOR), Trembley, Janeen H.2,3,4 (AUTHOR), Zafar, Sameen1 (AUTHOR), Kamal, Ghulam Murtaza1 (AUTHOR), Afsar, Tayyaba5 (AUTHOR), Husain, Fohad Mabood6 (AUTHOR), Razak, Suhail5 (AUTHOR) smarazi@ksu.edu.sa
Publikováno v:
BMC Cancer. 11/5/2024, Vol. 24 Issue 1, p1-13. 13p.
This paper studies the utility of using data analytics and machine learning techniques for identifying, classifying, and characterizing the dynamics of large-scale parallel (MPI) programs. To this end, we run microbenchmarks and realistic proxy appli
Externí odkaz:
http://arxiv.org/abs/2205.13963
The performance of highly parallel applications on distributed-memory systems is influenced by many factors. Analytic performance modeling techniques aim to provide insight into performance limitations and are often the starting point of optimization
Externí odkaz:
http://arxiv.org/abs/2205.04190
Publikováno v:
In Chinese Journal of Physics June 2024 89:1347-1361
Publikováno v:
In Heliyon 30 May 2024 10(10)
Most distributed-memory bulk-synchronous parallel programs in HPC assume that compute resources are available continuously and homogeneously across the allocated set of compute nodes. However, long one-off delays on individual processes can cause glo
Externí odkaz:
http://arxiv.org/abs/2103.03175