Port Contention Aware Task Scheduling for SIMD Applications
Year: 2024
Type: article
Abstract: 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%.
Source: IEEE Access
Authors: Shogo Saito, Kei Fujimoto
Institution: NTT (Japan)
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,995
OpenAlex ID: W4405778567