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ORCIDYehia Arafa
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2020 – today
- 2023
[c16]George Michelogiannakis
, Yehia Arafa, Brandon Cook, Liang Yuan Dai, Abdel-Hameed A. Badawy, Madeleine Glick, Yuyang Wang, Keren Bergman, John Shalf:
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics. CLUSTER 2023: 158-172- [c15]Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Nishant Panda, Nirmal Prajapati, Nazmul Haque Turja, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS 2023: 1975-1982 - [c14]Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Nirmal Prajapati, Abdel-Hameed A. Badawy:
Modeling and Characterizing Shared and Local Memories of the Ampere GPUs. MEMSYS 2023: 9:1-9:3 - [i7]George Michelogiannakis, Yehia Arafa, Brandon Cook, Liang Yuan Dai, Abdel-Hameed A. Badawy, Madeleine Glick, Yuyang Wang, Keren Bergman, John Shalf:
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics. CoRR abs/2301.03592 (2023) - 2022
- [j2]Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling. J. Supercomput. 78(2): 2354-2385 (2022) - [c13]Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. HPEC 2022: 1-8 - [i6]Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy:
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR abs/2202.07798 (2022) - [i5]Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. CoRR abs/2208.11174 (2022) - 2021
- [c12]Ali Eker, Yehia Arafa, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz, Dmitry Ponomarev:
Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation. SIGSIM-PADS 2021: 95-105 - [c11]Yehia Arafa, Abdel-Hameed A. Badawy, Ammar ElWazir, Atanu Barai, Ali Eker, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Hybrid, scalable, trace-driven performance modeling of GPGPUs. SC 2021: 53 - [i4]Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz:
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. CoRR abs/2103.10635 (2021) - [i3]Atanu Barai, Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling. CoRR abs/2104.05102 (2021) - 2020
- [c10]Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi:
Verified instruction-level energy consumption measurement for NVIDIA GPUs. CF 2020: 60-70 - [c9]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Atanu Barai, Nandakishore Santhi, Stephan J. Eidenbenz:
Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles. ICS 2020: 31:1-31:12 - [c8]Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi:
NVIDIA GPGPUs Instructions Energy Consumption. ISPASS 2020: 110-112 - [c7]Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed A. Badawy, Yehia Arafa, Stephan J. Eidenbenz:
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace. MEMSYS 2020: 341-351 - [i2]Yehia Arafa, Ammar ElWazir, Abdelrahman Elkanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed A. Badawy, Gopinath Chennupati, Stephan J. Eidenbenz, Nandakishore Santhi:
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs. CoRR abs/2002.07795 (2020)
2010 – 2019
- 2019
- [j1]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-GPU: Scalable GPU Performance Modeling. IEEE Comput. Archit. Lett. 18: 55-58 (2019) - [c6]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
POSTER: GPUs Pipeline Latency Analysis. ASAP 2019: 139 - [c5]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs. HPEC 2019: 1-8 - [c4]Yehia Arafa, Gopinath Chennupati, Atanu Barai, Abdel-Hameed A. Badawy, Nandakishore Santhi, Stephan J. Eidenbenz:
GPUs Cache Performance Estimation using Reuse Distance Analysis. IPCCC 2019: 1-8 - [i1]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
Instructions' Latencies Characterization for NVIDIA GPGPUs. CoRR abs/1905.08778 (2019) - 2018
- [c3]Yehia Arafa, Atanu Barai, Mai Zheng, Abdel-Hameed A. Badawy:
Fault Tolerance Performance Evaluation of Large-Scale Distributed Storage Systems HDFS and Ceph Case Study. HPEC 2018: 1-7 - [c2]Yehia Arafa, Abdel-Hameed A. Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz:
PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract. MEMSYS 2018: 301-302 - [c1]Yehia Arafa, Atanu Barai, Mai Zheng, Abdel-Hameed A. Badawy:
Evaluating the Fault Tolerance Performance of HDFS and Ceph. PEARC 2018: 88:1-88:3
Coauthor Index
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