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täk¯: a polymorphic cache hierarchy for general-purpose optimization of data movement

Brian C. Schwedock, Piratach Yoovidhya, Jennifer Seibert, Nathan Beckmann

2022Year
16Citations
8Top-tier citations

Abstract

Current systems hide data movement from software behind the load-store interface. Software's inability to observe and respond to data movement is the root cause of many inefficiencies, including the growing fraction of execution time and energy devoted to data movement itself. Recent specialized memory-hierarchy designs prove that large data-movement savings are possible. However, these designs require custom hardware, raising a large barrier to their practical adoption.

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