high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Performance Comparison Between Cg-based and CUDA-based Matrix Multiplications

Luke West, Jong Kwan Lee

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Tags: Cg, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

August 28, 2012 by hgpu

Optimization Techniques for CUDA Application

Tushar Athawale, Xie Xu

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Performance

August 28, 2012 by hgpu

Efficient Dynamic Program Monitoring on Multi-Core Platforms

Guojin He

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Security, Thesis

August 26, 2012 by hgpu

A Braille Conversion Service Using GPU and Human Interaction by Computer Vision

Roman Graf, Reinhold Huber-Mork

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Pattern recognition, Performance

August 26, 2012 by hgpu

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Can Basaran, Kyoung-Don Kang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Performance, Task scheduling

August 21, 2012 by hgpu

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Yi Yang, Ping Xiang, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Performance

August 21, 2012 by hgpu

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

Yi Yang, Ping Xiang, Mike Mantor, Norm Rubin, Huiyang Zhou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

August 21, 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

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Source codes

Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Hartwig Anzt, Stanimire Tomov, Jack Dongarra, Vincent Heuveline

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

August 10, 2012 by hgpu

Policy-based Tuning for Performance Portability and Library Co-optimization

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Performance

August 8, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Performance Comparison Between Cg-based and CUDA-based Matrix Multiplications

Optimization Techniques for CUDA Application

Efficient Dynamic Program Monitoring on Multi-Core Platforms

A Braille Conversion Service Using GPU and Human Interaction by Computer Vision

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Shared Memory Multiplexing: A Novel Way to Improve GPGPU Throughput

Dynamic Warp Resizing in High-Performance SIMT

Designing OP2 for GPU architectures

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Policy-based Tuning for Performance Portability and Library Co-optimization

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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