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  1. Transactions on Architecture and Code Optimization (TACO)
  2. ACM Transactions on Architecture and Code Optimization (TACO) : Volume 8
  3. Issue 3, October 2011
  4. Power gating strategies on GPUs
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ACM Transactions on Architecture and Code Optimization (TACO) : Volume 13
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 12
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 11
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 10
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 9
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 8
Issue 4(HIPEAC Papers), January 2012
Issue 3, October 2011
Hybrid analytical modeling of pending cache hits, data prefetching, and MSHRs
CATCH: A mechanism for dynamically detecting cache-content-duplication in instruction caches
Managing SMT resource usage through speculative instruction window weighting
Power gating strategies on GPUs
Dynamic access distance driven cache replacement
Evaluating placement policies for managing capacity sharing in CMP architectures with private caches
Maintaining performance on power gating of microprocessor functional units by using a predictive pre-wakeup strategy
DEFCAM: A design and evaluation framework for defect-tolerant cache memories
Issue 2, July 2011
Issue 1, April 2011
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 7
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 6
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 5
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 4
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 3
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 2
ACM Transactions on Architecture and Code Optimization (TACO) : Volume 1

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Power gating strategies on GPUs

Content Provider ACM Digital Library
Author Wang, Po-Han Yang, Chia-Lin Chen, Yen-Ming Cheng, Yu-Jung
Copyright Year 2011
Abstract As technology continues to shrink, reducing leakage is critical to achieving energy efficiency. Previous studies on low-power GPUs (Graphics Processing Units) focused on techniques for dynamic power reduction, such as DVFS (Dynamic Voltage and Frequency Scaling) and clock gating. In this paper, we explore the potential of adopting architecture-level power gating techniques for leakage reduction on GPUs. We propose three strategies for applying power gating on different modules in GPUs. The Predictive Shader Shutdown technique exploits workload variation across frames to eliminate leakage in shader clusters. Deferred Geometry Pipeline seeks to minimize leakage in fixed-function geometry units by utilizing an imbalance between geometry and fragment computation across batches. Finally, the simple time-out power gating method is applied to nonshader execution units to exploit a finer granularity of the idle time. Our results indicate that Predictive Shader Shutdown eliminates up to 60% of the leakage in shader clusters, Deferred Geometry Pipeline removes up to 57% of the leakage in the fixed-function geometry units, and the simple time-out power gating mechanism eliminates 83.3% of the leakage in nonshader execution units on average. All three schemes incur negligible performance degradation, less than 1%.
Starting Page 1
Ending Page 25
Page Count 25
File Format PDF
ISSN 15443566
e-ISSN 15443973
DOI 10.1145/2019608.2019612
Volume Number 8
Issue Number 3
Journal ACM Transactions on Architecture and Code Optimization (TACO)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-18
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword GPU Leakage Power gating
Content Type Text
Resource Type Article
Subject Hardware and Architecture Information Systems Software
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