34 citations · 42 across the 6 of their papers we have counts for
7 papers
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics
George Michelogiannakis, Yehia Arafa, Brandon Cook +6
The diversity of workload requirements and increasing hardware heterogeneity in emerging high performance computing (HPC) systems motivate resource disaggregation. Resource disaggr…
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi +1
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, research…
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa +8
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…
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling
Atanu Barai, Yehia Arafa, Abdel-Hameed Badawy +3
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…
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi +3
Performance modeling of parallel applications on multicore processors remains a challenge in computational co-design due to multicore processors' complex design. Multicores include…
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy +6
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 However, vendors do not publish the actual cost of…
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati +2
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 supercompu…