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pro vyhledávání: '"Muhammad Abdulhamid Al-Hashimi"'
Autor:
Osama Ahmed Abulnaja, Muhammad Jawad Ikram, Muhammad Abdulhamid Al-Hashimi, Mostafa Elsayed Saleh
Publikováno v:
IEEE Access, Vol 6, Pp 42757-42774 (2018)
In graphics processing unit (GPU) computing community, bitonic mergesort (BM) is recognized as one of the most investigated sorting algorithms. It is specially designed for parallel architectures, requires minor inter-process communication, can be im
Externí odkaz:
https://doaj.org/article/a2448531d11743868301cc80443ebbe9
Autor:
Muhammad Abdulhamid Al-Hashimi, Osama Ahmed Abulnaja, Mostafa Elsayed Saleh, Muhammad Jawad Ikram
Publikováno v:
IEEE Access, Vol 5, Pp 16429-16440 (2017)
Excessive power consumption is expected to be the major obstacle to achieve exascale performance within a reasonable power budget in the upcoming years. In addition, graphics processing units (GPUs) are expected to become a significant ingredient in
Externí odkaz:
https://doaj.org/article/2af667b8addc4b1d94d7b04a0b6aa559
Autor:
Muhammad Jawad Ikram, Mostafa Elsayed Saleh, Muhammad Abdulhamid Al-Hashimi, Osama Ahmed Abulnaja
Publikováno v:
The Journal of Supercomputing. 78:14919-14939
Power consumption is likely to remain a significant concern for exascale performance in the foreseeable future. In addition, graphics processing units (GPUs) have become an accepted architectural feature for exascale computing due to their scalable p
Publikováno v:
The Journal of Supercomputing. 75:6277-6302
Excessive power consumption emerged as a major obstacle to achieving exascale performance in next-generation supercomputers, creating a need to explore new ways to reduce those requirements. In this study, we present a comprehensive empirical investi
Publikováno v:
IEEE Access, Vol 6, Pp 42757-42774 (2018)
In graphics processing unit ( GPU ) computing community, bitonic mergesort (BM) is recognized as one of the most investigated sorting algorithms. It is specially designed for parallel architectures, requires minor inter-process communication, can be
Publikováno v:
IEEE Access, Vol 5, Pp 16429-16440 (2017)
Excessive power consumption is expected to be the major obstacle to achieve exascale performance within a reasonable power budget in the upcoming years. In addition, graphics processing units (GPUs) are expected to become a significant ingredient in
Publikováno v:
2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT).
Graphics processing units (GPUs) are becoming im-peccable choice for the upcoming exascale computing because of improvements in performance and power efficiency. In this paper, we propose an experimental methodology for evaluating power and energy co
Publikováno v:
2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT).
Power consumption is one of the most important challenges facing the exascale computing community. Current technology trends will not provide a reasonable power budget for the next generation of exascale supercomputers in near future. Finding new way
Publikováno v:
2014 9th International Conference on Informatics and Systems.
Massively parallel computers have found significant interest from researchers in recent years. These machines have been used for complex and sophisticated simulations, such as, the brain functions simulation. Due to the increase in the power demand b