Accelerator-level Parallelism
Mark D. Hill, Vijay Janapa Reddi
TL;DR
This paper discusses the potential of accelerator-level parallelism (ALP) in enhancing system performance within energy constraints, emphasizing the need for scientific development to optimize ALP hardware and software.
Contribution
It highlights the importance of developing scientific foundations for accelerator-level parallelism to improve performance and cost efficiency in future systems.
Findings
ALP is already used in mobile systems for performance gains.
Further scientific research is needed to optimize ALP hardware and software.
ALP can significantly improve energy-efficient system performance.
Abstract
Future applications demand more performance, but technology advances have been faltering. A promising approach to further improve computer system performance under energy constraints is to employ hardware accelerators. Already today, mobile systems concurrently employ multiple accelerators in what we call accelerator-level parallelism (ALP). To spread the benefits of ALP more broadly, we charge computer scientists to develop the science needed to best achieve the performance and cost goals of ALP hardware and software.
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