Publication: Efficient Data Supply for Parallel Heterogeneous Architectures
Authors
Ham, T.J. ; Aragón, J.L. ; Martonosi, M.
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Publisher
ACM
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DOI
https://doi.org/10.1145/3310332
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info:eu-repo/semantics/article
Description
Abstract
Decoupling techniques have been proposed to reduce the amount of memory latency exposed to high-performance accelerators as they fetch data. Although decoupled access-execute (DAE) and more recent decoupled data supply approaches offer promising single-threaded performance improvements, little work has considered how to extend them into parallel scenarios. This article explores the opportunities and challenges of designing parallel, high-performance, resource-efficient decoupled data supply systems. We propose Mercury, a parallel decoupled data supply system that utilizes thread-level parallelism for high-throughput data supply with good portability attributes. Additionally, we introduce some microarchitectural improvements for data supply units to efficiently handle long-latency indirect loads.
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Citation
ACM Transactions on Architecture and Code Optimization (TACO), vol. 16, issue 2, article 9, pp. 1-23, ISSN: 1544-3566, Abril 2019
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