high performance computing on graphics processing units: hgpu.org

Programming

Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber

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Tags: Algorithms, ARM, Benchmarking, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance

October 10, 2014 by hgpu

Code Refinement of Stencil Codes

Marcel Koster, Roland Leissa, Sebastian Hack

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Tags: Algorithms, Computer science, CUDA, DSL, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

October 10, 2014 by hgpu

Parallel implementation of linear repetitive processes identification using subspace algorithms

Dominik Kujawa

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

October 10, 2014 by hgpu

Accelerating Protein Coordinate Conversion using GPUs

Mahsa Bayati, Jaydeep P. Bardhan, David M. King, Miriam Leeser

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Tesla C2075

October 10, 2014 by hgpu

FDTD on Distributed Heterogeneous Multi-GPU Systems

Eirik Myklebost

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Tags: Algorithms, Benchmarking, Cluster computing, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 760, Physics, Tesla K20, Thesis, Ultrasound

October 10, 2014 by hgpu

Load Balancing in Data Warehouse – Evolution and Perspectives

Michal Gorawski

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Tags: Algorithms, Cloud, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 260

October 6, 2014 by hgpu

A massively parallel algorithm for constructing the BWT of large string sets

Jacopo Pantaleoni

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, Tesla K40

October 4, 2014 by hgpu

Stable large-scale solver for Ginzburg-Landau equations for superconductors

I. A. Sadovskyy, A. E. Koshelev, C. L. Phillips, D. A. Karpeev, A. Glatz

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Tags: Algorithms, Condensed matter, CUDA, Numerical simulation, nVidia, Tesla K20

October 3, 2014 by hgpu

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Saad Quader

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla M2050

September 30, 2014 by hgpu

A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction

Chulian Zhang, Hamed Tabkhi, Gunar Schirner

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2075

September 29, 2014 by hgpu

Decoupling algorithms from the organization of computation for high performance image processing

Fredo Durand, Saman Amarashinghe

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2070, Thesis

September 29, 2014 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

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

NVIDIA Nemotron Parse 1.1

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Performance Improvement of Multichannel Audio by Graphics Processing Units

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Code Refinement of Stencil Codes

Parallel implementation of linear repetitive processes identification using subspace algorithms

Accelerating Protein Coordinate Conversion using GPUs

FDTD on Distributed Heterogeneous Multi-GPU Systems

A massively parallel algorithm for constructing the BWT of large string sets

Stable large-scale solver for Ginzburg-Landau equations for superconductors

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

A GPU-based Algorithm-specific Optimization for High-performance Background Subtraction

Decoupling algorithms from the organization of computation for high performance image processing

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

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

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