NDLI: Towards more efficient execution: a decoupled access-execute approach

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Towards more efficient execution: a decoupled access-execute approach

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Towards more efficient execution: a decoupled access-execute approach

Content Provider	ACM Digital Library
Author	Black-Schaffer, David Koukos, Konstantinos Kaxiras, Stefanos Spiliopoulos, Vasileios
Abstract	The end of Dennard scaling is expected to shrink the range of DVFS in future nodes, limiting the energy savings of this technique. This paper evaluates how much we can increase the effectiveness of DVFS by using a software decoupled access-execute approach. Decoupling the data access from execution allows us to apply optimal voltage-frequency selection for each phase and therefore improve energy efficiency over standard coupled execution. The underlying insight of our work is that by decoupling access and execute we can take advantage of the memory-bound nature of the access phase and the compute-bound nature of the execute phase to optimize power efficiency, while maintaining good performance. To demonstrate this we built a task based parallel execution infrastructure consisting of: (1) a runtime system to orchestrate the execution, (2) power models to predict optimal voltage-frequency selection at runtime, (3) a modeling infrastructure based on hardware measurements to simulate zero-latency, per-core DVFS, and (4) a hardware measurement infrastructure to verify our model's accuracy. Based on real hardware measurements we project that the combination of decoupled access-execute and DVFS has the potential to improve EDP by 25% without hurting performance. On memory-bound applications we significantly improve performance due to increased MLP in the access phase and ILP in the execute phase. Furthermore we demonstrate that our method can achieve high performance both in presence or absence of a hardware prefetcher.
Starting Page	253
Ending Page	262
Page Count	10
File Format	PDF
ISBN	9781450321303
DOI	10.1145/2464996.2465012
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-06-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Decoupled execution Energy Performance Dvfs Task-based execution
Content Type	Text
Resource Type	Article

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