Analyzing Data Locality on GPU Caches Using Static Profiling of Workloads
The diversity of workloads drives studies to use GPU more effectively to overcome the limited memory of GPUs. Precisely, it is essential to understand and utilize data locality of workloads to utilize the memory and cache efficiently, which is relatively smaller than CPU ’ s. It is import...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10225495/ |