Optimizing Multithreaded Access to Global Variables in SPM through Compiler-Enhanced Dependency Analysis

Scratchpad memory (SPM) occupies less space and consumes less energy than cache memory. However, unlike with cache memory, the user or the compiler must directly allocate the data or instructions. In this paper, we propose a new compiler based on the LLVM compiler that allocates frequently used global variables to the SPM and addresses issues in a multi-threaded environment with frequent I/O operations. The results demonstrate approximately a 27% reduction in energy consumption.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902979
Primary Topic
Historical and Archaeological Studies
Type
article
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article

Optimizing Multithreaded Access to Global Variables in SPM through Compiler-Enhanced Dependency Analysis

Historical and Archaeological Studies
article

Optimizing Multithreaded Access to Global Variables in SPM through Compiler-Enhanced Dependency Analysis

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Abstract

Scratchpad memory (SPM) occupies less space and consumes less energy than cache memory. However, unlike with cache memory, the user or the compiler must directly allocate the data or instructions. In this paper, we propose a new compiler based on the LLVM compiler that allocates frequently used global variables to the SPM and addresses issues in a multi-threaded environment with frequent I/O operations. The results demonstrate approximately a 27% reduction in energy consumption.

Kyungpook National University (KR)
Openalex Percentile: Top 46%
Historical and Archaeological Studies
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Optimizing Multithreaded Access to Global Variables in SPM through Compiler-Enhanced Dependency Analysis · (2024) | TGRS Research Map | TGRS