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Design Space Optimization of Shared Memory Architecture in Accelerator-rich Systems
ACM Transactions on Design Automation of Electronic Systems ( IF 2.2 ) Pub Date : 2021-03-13 , DOI: 10.1145/3446001 Mitali Sinha 1 , Gade Sri Harsha 1 , Pramit Bhattacharyya 1 , Sujay Deb 1
ACM Transactions on Design Automation of Electronic Systems ( IF 2.2 ) Pub Date : 2021-03-13 , DOI: 10.1145/3446001 Mitali Sinha 1 , Gade Sri Harsha 1 , Pramit Bhattacharyya 1 , Sujay Deb 1
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Shared memory architectures, as opposed to private-only memories, provide a viable alternative to meet the ever-increasing memory requirements of multi-accelerator systems to achieve high performance under stringent area and energy constraints. However, an impulsive memory sharing degrades performance due to network contention and latency to access shared memory. We propose the Accelerator Shared Memory (ASM) framework to provide an optimal private/shared memory configuration and shared data allocation under a system’s resource and network constraints. Evaluations show ASM provides up to 34.35% and 31.34% improvement in performance and energy, respectively, over baseline systems.
更新日期：2021-03-13
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