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LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Tesla S2050

July 29, 2013 by hgpu

Point Based Approximate Color Bleeding With Cuda

Nicholas D. Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C2050, Thesis

July 29, 2013 by hgpu

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Shivang Ghetia, Nagendra Gajjar, Ruchi Gajjar

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

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

Charles Bouillaguet, Chen-Mou Cheng, Tung Chou, Ruben Niederhagen, Bo-Yin Yang

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Tags: Algorithms, Computer science, FPGA, Security

July 25, 2013 by hgpu

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

L.Yu. Barash, L.N. Shchur

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Source codes

Tags: Algorithms, Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, Package, Pseudo-random number generators, Tesla C2050

July 25, 2013 by hgpu

Parallel Implementation of Texture Based Image Retrieval on The GPU

Hadis Heidari, Abdolah Chalechale, Alireza Ahmadi Mohammadabadi

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 610 M

July 24, 2013 by hgpu

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

David Mainzer, Gabriel Zachmann

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Tags: Algorithms, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

July 24, 2013 by hgpu

OpenCL simulations of two-fluid compressible flows with a random choice method

Philippe Helluy, Jonathan Jung

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Tags: Algorithms, ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 280, OpenCL

July 22, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 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

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high performance computing on graphics processing units: hgpu.org

Programming

LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Point Based Approximate Color Bleeding With Cuda

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

A unified sparse matrix data format for modern processors with wide SIMD units

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

Parallel Implementation of Texture Based Image Retrieval on The GPU

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

OpenCL simulations of two-fluid compressible flows with a random choice method

Automatic Generation of FFT Libraries for GPU Platforms

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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