Yehia Arafa

Orcid: 0000-0002-5186-3012

According to our database1, Yehia Arafa authored at least 20 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Modeling and Characterizing Shared and Local Memories of the Ampere GPUs.
Proceedings of the International Symposium on Memory Systems, 2023

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling.
J. Supercomput., 2022

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques.
CoRR, 2022

Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021
Hybrid, scalable, trace-driven performance modeling of GPGPUs.
Proceedings of the International Conference for High Performance Computing, 2021

Load-Aware Dynamic Time Synchronization in Parallel Discrete Event Simulation.
Proceedings of the SIGSIM-PADS '21: SIGSIM Conference on Principles of Advanced Discrete Simulation, Virtual Event, USA, 31 May, 2021

2020
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

NVIDIA GPGPUs Instructions Energy Consumption.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Fast, accurate, and scalable memory modeling of GPGPUs using reuse profiles.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

Verified instruction-level energy consumption measurement for NVIDIA GPUs.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
Instructions' Latencies Characterization for NVIDIA GPGPUs.
CoRR, 2019

PPT-GPU: Scalable GPU Performance Modeling.
IEEE Comput. Archit. Lett., 2019

GPUs Cache Performance Estimation using Reuse Distance Analysis.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

POSTER: GPUs Pipeline Latency Analysis.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018
Evaluating the Fault Tolerance Performance of HDFS and Ceph.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

PPT-GPU: performance prediction toolkit for GPUs identifying the impact of caches: extended abstract.
Proceedings of the International Symposium on Memory Systems, 2018

Fault Tolerance Performance Evaluation of Large-Scale Distributed Storage Systems HDFS and Ceph Case Study.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018


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