HALWPE
Author:
Affiliation:
1. Department of Computer Science and Engineering, University of California, Riverside
2. Strategic CAD Labs, Intel Corporation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3061639.3062257
Reference22 articles.
1. Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance
2. Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems
3. Analyzing CUDA workloads using a detailed GPU simulator
4. Tree structured analysis on GPU power study
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1. Many-BSP: an analytical performance model for CUDA kernels;Computing;2024-02-26
2. Flydeling: Streamlined Performance Models for Hardware Acceleration of CNNs through System Identification;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2023-07-18
3. Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC;ACM Transactions on Embedded Computing Systems;2022-07-31
4. Power-Aware Computing on GPGPU Systems Using ML Classification Techniques;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28
5. A Survey of Machine Learning for Computer Architecture and Systems;ACM Computing Surveys;2022-02-03
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