high performance computing on graphics processing units: hgpu.org

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Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

S.J. Pennycook, S.D. Hammond, S.A. Jarvis, G.R. Mudalige

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Performance, Tesla C1060, Tesla C2050

May 25, 2011 by hgpu

Analyzing throughput of GPGPUs exploiting within-die core-to-core frequency variation

Jungseob Lee, Paritosh Pratap Ajgaonkar, Nam Sung Kim

Tags: Computer science, Hardware Architecture, Performance

May 21, 2011 by hgpu

Image processing applications on a low power highly parallel SIMD architecture

A. Fijany, F. Hosseini

Tags: Algorithms, ASIC, Computer vision, FPGA, Image processing, Performance

May 21, 2011 by hgpu

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Ahmed H. El Zein, Alistair P. Rendell

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix

May 20, 2011 by hgpu

Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

May 17, 2011 by hgpu

GPU powered artificial immune system for visual applications

K. Lackner, G. Cserey

Tags: Algorithms, Artificial intelligence, Image processing, Performance

May 16, 2011 by hgpu

Performance and power consumption investigation for execution of integer operations on CPU and GPU processors for multimedia applications

A. Iovanovici, C. Visan, M. Marcu

Tags: Computer science, Energy-efficient computing, Performance

May 14, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration (thesis)

Jeffrey Richard Code Kingyens

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance, Thesis

May 8, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration

Jeffrey Richard Code Kingyens, J. Gregory Steffan

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance

May 8, 2011 by hgpu

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

Analyzing throughput of GPGPUs exploiting within-die core-to-core frequency variation

Image processing applications on a low power highly parallel SIMD architecture

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Profiling General Purpose GPU Applications

GPU powered artificial immune system for visual applications

Performance and power consumption investigation for execution of integer operations on CPU and GPU processors for multimedia applications

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

A GPU-inspired soft processor for high-throughput acceleration (thesis)

A GPU-inspired soft processor for high-throughput acceleration

Recent source codes

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

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