high performance computing on graphics processing units: hgpu.org

hgpu.org » Memory

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

S. Kaxiras, G. Keramidas, K. Koukos

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Tags: Benchmarking, Memory, Power-efficient computing

September 6, 2013 by hgpu

Phase Aware Memory Scheduling

C. Sangani, M. Venkatesan, R. Ramesh

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Tags: Heterogeneous systems, Memory, Memory model

September 6, 2013 by hgpu

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Alamelu Sankaranarayanan, Ehsan K. Ardestani, Jose Luis Briz, Jose Renau

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, Memory, nVidia, OpenCL

June 24, 2013 by hgpu

Warp Size Impact in GPUs: Large or Small?

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, GPGPU-sim, Memory, Performance

March 29, 2013 by hgpu

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey Vetter

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Tags: Computer science, GPGPU-sim, Memory, Performance

February 23, 2013 by hgpu

An Implementation of Conflict-Free Offline Permutation on the GPU

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 680, Performance

February 6, 2013 by hgpu

Survey On The Off-Chip Scheduling of Memory Accesses in the Memory Interface Of GPUs

Luis Angel Garrido Platero

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, Memory, nVidia, Performance

January 31, 2013 by hgpu

Parallel Data List Processing on Multicore-GPU Platforms

Carlos Alberto Martinez-Angeles, Jorge Buenabad-Chavez, Miguel Alfonso Castro-Garcia, Jose Luis Quiroz-Fabian

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 460, Performance

August 30, 2012 by hgpu

Dynamic Warp Resizing in High-Performance SIMT

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, Hardware Architecture, Memory, Performance

August 14, 2012 by hgpu

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

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Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 2012 by hgpu

GPUs as an Opportunity for Offloading Garbage Collection

Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph, John Kubiatowicz

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Tags: Algorithms, APU, Computer science, Memory, OpenCL, Performance

June 29, 2012 by hgpu

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

Steinberger Markus, Kenzel Michael, Kainz Bernhard, Schmalstieg Dieter

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Source codes

Tags: Computer science, CUDA, Hashing, Memory, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

Phase Aware Memory Scheduling

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Warp Size Impact in GPUs: Large or Small?

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

An Implementation of Conflict-Free Offline Permutation on the GPU

Survey On The Off-Chip Scheduling of Memory Accesses in the Memory Interface Of GPUs

Parallel Data List Processing on Multicore-GPU Platforms

Dynamic Warp Resizing in High-Performance SIMT

Optimizing MapReduce for GPUs with effective shared memory usage

GPUs as an Opportunity for Offloading Garbage Collection

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

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CLUEstering: a high-performance density-based clustering library for scientific computing

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GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

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