Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Santhi, Nandakishore"'
Autor:
Barai, Atanu, Santhi, Nandakishore, Razzak, Abdur, Eidenbenz, Stephan, Badawy, Abdel-Hameed A.
Profiling various application characteristics, including the number of different arithmetic operations performed, memory footprint, etc., dynamically is time- and space-consuming. On the other hand, static analysis methods, although fast, can be less
Externí odkaz:
http://arxiv.org/abs/2311.12883
Publikováno v:
2022 IEEE High Performance Extreme Computing Virtual Conference
Over the last decade, Quantum Computing hardware has rapidly developed and become a very intriguing, promising, and active research field among scientists worldwide. To achieve the desired quantum functionalities, quantum algorithms require translati
Externí odkaz:
http://arxiv.org/abs/2209.00819
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
Graphics processing units (GPUs) are now considered the leading hardware to accelerate general-purpose workloads such as AI, data analytics, and HPC. Over the last decade, researchers have focused on demystifying and evaluating the microarchitecture
Externí odkaz:
http://arxiv.org/abs/2208.11174
Autor:
Abdelkhalik, Hamdy, Aktar, Shamminuj, Arafa, Yehia, Barai, Atanu, Chennupati, Gopinath, Santhi, Nandakishore, Panda, Nishant, Prajapati, Nirmal, Turja, Nazmul Haque, Eidenbenz, Stephan, Badawy, Abdel-Hameed
Recent years have seen the adoption of Machine Learning (ML) techniques to predict the performance of large-scale applications, mostly at a coarse level. In contrast, we propose to use ML techniques for performance prediction at a much finer granular
Externí odkaz:
http://arxiv.org/abs/2202.07798
Autor:
Barai, Atanu, Arafa, Yehia, Badawy, Abdel-Hameed, Chennupati, Gopinath, Santhi, Nandakishore, Eidenbenz, Stephan
We present PPT-Multicore, an analytical model embedded in the Performance Prediction Toolkit (PPT) to predict parallel application performance running on a multicore processor. PPT-Multicore builds upon our previous work towards a multicore cache mod
Externí odkaz:
http://arxiv.org/abs/2104.05102
Autor:
Barai, Atanu, Chennupati, Gopinath, Santhi, Nandakishore, Badawy, Abdel-Hameed, Arafa, Yehia, Eidenbenz, Stephan
Performance modeling of parallel applications on multicore processors remains a challenge in computational co-design due to multicore processors' complex design. Multicores include complex private and shared memory hierarchies. We present a Scalable
Externí odkaz:
http://arxiv.org/abs/2103.10635
We present the Analytical Memory Model with Pipelines (AMMP) of the Performance Prediction Toolkit (PPT). PPT-AMMP takes high-level source code and hardware architecture parameters as input, predicts runtime of that code on the target hardware platfo
Externí odkaz:
http://arxiv.org/abs/2010.04212
Autor:
Arafa, Yehia, ElWazir, Ammar, ElKanishy, Abdelrahman, Aly, Youssef, Elsayed, Ayatelrahman, Badawy, Abdel-Hameed, Chennupati, Gopinath, Eidenbenz, Stephan, Santhi, Nandakishore
GPUs are prevalent in modern computing systems at all scales. They consume a significant fraction of the energy in these systems. However, vendors do not publish the actual cost of the power/energy overhead of their internal microarchitecture. In thi
Externí odkaz:
http://arxiv.org/abs/2002.07795
Autor:
Barai, Atanu, Chennupati, Gopinath, Santhi, Nandakishore, Badawy, Abdel-Hameed A., Eidenbenz, Stephan
Performance modeling of parallel applications on multicore computers remains a challenge in computational co-design due to the complex design of multicore processors including private and shared memory hierarchies. We present a Scalable Analytical Sh
Externí odkaz:
http://arxiv.org/abs/1907.12666
Autor:
Arafa, Yehia, Badawy, Abdel-Hameed, Chennupati, Gopinath, Santhi, Nandakishore, Eidenbenz, Stephan
The last decade has seen a shift in the computer systems industry where heterogeneous computing has become prevalent. Graphics Processing Units (GPUs) are now present in supercomputers to mobile phones and tablets. GPUs are used for graphics operatio
Externí odkaz:
http://arxiv.org/abs/1905.08778