research
∙
01/09/2023
Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics
The diversity of workload requirements and increasing hardware heterogen...
share
research
∙
08/23/2022
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
Graphics processing units (GPUs) are now considered the leading hardware...
research
∙
02/16/2022
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Recent years have seen the adoption of Machine Learning (ML) techniques ...
research
∙
04/11/2021
PPT-Multicore: Performance Prediction of OpenMP applications using Reuse Profiles and Analytical Modeling
We present PPT-Multicore, an analytical model embedded in the Performanc...
research
∙
03/19/2021
PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
Performance modeling of parallel applications on multicore processors re...
research
∙
02/18/2020
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
GPUs are prevalent in modern computing systems at all scales. They consu...
research
∙
05/21/2019
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
research
∙
05/21/2019
Instructions' Latencies Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
research
∙
08/25/2017