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Early miss prediction based periodic cache bypassing for high performance GPUs

  • Published:2017-11 Issue: Volume:55 Page:44-54
  • ISSN:0141-9331
  • Container-title:Microprocessors and Microsystems
  • language:en
  • Short-container-title:Microprocessors and Microsystems

Author:

Do Cong Thuan,Kim Jong Myon,Kim Cheol Hong

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference65 articles.

1. A survey of genera-purpose computation on graphics hardware;Owens,2005

2. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA;Ryoo,2008

3. A locality-aware memory hierarchy for energy-efficient GPU architectures;Rhu,2012

4. Adaptive cache management for energy-efficient GPU computing;Chen,2014

5. High performance cache replacement using re-reference interval prediction (RRIP);Jaleel,2010

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1. COBRRA: COntention-aware cache Bypass with Request-Response Arbitration;ACM Transactions on Embedded Computing Systems;2024-01-10

2. Aggressive GPU cache bypassing with monolithic 3D-based NoC;The Journal of Supercomputing;2022-10-21

3. New Two-Level L1 Data Cache Bypassing Technique for High Performance GPUs;J INF PROCESS SYST;2021

4. A novel warp scheduling scheme considering long-latency operations for high-performance GPUs;The Journal of Supercomputing;2019-11-23

5. A Study on L1 Data Cache Bypassing Methods for High-Performance GPUs;Parallel and Distributed Computing, Applications and Technologies;2019
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