Port Contention Aware Task Scheduling for SIMD Applications

Single instruction multiple data (SIMD) instructions in central processing units (CPU) are becoming commonly used in usecases such as wireless signal processing and artificial intelligence (AI) inference. When SIMD operations are executed in a simultaneous multi-threading (SMT) environment, a perfor...

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Main Authors: Shogo Saito, Kei Fujimoto
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10816398/
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author Shogo Saito
Kei Fujimoto
author_facet Shogo Saito
Kei Fujimoto
author_sort Shogo Saito
collection DOAJ
description Single instruction multiple data (SIMD) instructions in central processing units (CPU) are becoming commonly used in usecases such as wireless signal processing and artificial intelligence (AI) inference. When SIMD operations are executed in a simultaneous multi-threading (SMT) environment, a performance degradation event, called port contention, is expected to occur due to the limited number of ports caused by the large size of the SIMD circuit. In this paper, we analyze the occurrence of port contention during SIMD operation and clarify the characteristics that affect the performance of core allocation. On the basis of these performance characteristics, we propose a system that avoids the occurrence of port contention and improves performance. The proposed method features a core allocation policy to avoid port contention, identify SIMD applications, and coordinate with the operating system (OS) scheduler. Through evaluation, we find that the proposed method can reduce the processing time for some tasks in virtual radio access networks was reduced by 13.3%.
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institution Kabale University
issn 2169-3536
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publishDate 2025-01-01
publisher IEEE
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spelling doaj-art-4d2977cbb1d246669a478d3c735928142025-01-14T00:02:13ZengIEEEIEEE Access2169-35362025-01-01136204621610.1109/ACCESS.2024.352326810816398Port Contention Aware Task Scheduling for SIMD ApplicationsShogo Saito0https://orcid.org/0000-0002-7965-0705Kei Fujimoto1https://orcid.org/0000-0001-7436-6978Network Innovation Center, NTT Corporation, Tokyo, JapanNetwork Innovation Center, NTT Corporation, Tokyo, JapanSingle instruction multiple data (SIMD) instructions in central processing units (CPU) are becoming commonly used in usecases such as wireless signal processing and artificial intelligence (AI) inference. When SIMD operations are executed in a simultaneous multi-threading (SMT) environment, a performance degradation event, called port contention, is expected to occur due to the limited number of ports caused by the large size of the SIMD circuit. In this paper, we analyze the occurrence of port contention during SIMD operation and clarify the characteristics that affect the performance of core allocation. On the basis of these performance characteristics, we propose a system that avoids the occurrence of port contention and improves performance. The proposed method features a core allocation policy to avoid port contention, identify SIMD applications, and coordinate with the operating system (OS) scheduler. Through evaluation, we find that the proposed method can reduce the processing time for some tasks in virtual radio access networks was reduced by 13.3%.https://ieeexplore.ieee.org/document/10816398/SIMDload balancingschedulermulti coreport contention
spellingShingle Shogo Saito
Kei Fujimoto
Port Contention Aware Task Scheduling for SIMD Applications
IEEE Access
SIMD
load balancing
scheduler
multi core
port contention
title Port Contention Aware Task Scheduling for SIMD Applications
title_full Port Contention Aware Task Scheduling for SIMD Applications
title_fullStr Port Contention Aware Task Scheduling for SIMD Applications
title_full_unstemmed Port Contention Aware Task Scheduling for SIMD Applications
title_short Port Contention Aware Task Scheduling for SIMD Applications
title_sort port contention aware task scheduling for simd applications
topic SIMD
load balancing
scheduler
multi core
port contention
url https://ieeexplore.ieee.org/document/10816398/
work_keys_str_mv AT shogosaito portcontentionawaretaskschedulingforsimdapplications
AT keifujimoto portcontentionawaretaskschedulingforsimdapplications