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08/23/2022
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
Graphics processing units (GPUs) are now considered the leading hardware...
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02/16/2022
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
Recent years have seen the adoption of Machine Learning (ML) techniques ...
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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...
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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...
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10/08/2020
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes
We present the Analytical Memory Model with Pipelines (AMMP) of the Perf...
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02/18/2020
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
GPUs are prevalent in modern computing systems at all scales. They consu...
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07/29/2019
Modeling Shared Cache Performance of OpenMP Programs using Reuse Distance
Performance modeling of parallel applications on multicore computers rem...
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05/21/2019
Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
The last decade has seen a shift in the computer systems industry where ...
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05/21/2019