high performance computing on graphics processing units: hgpu.org

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Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 2012 by hgpu

BFROST: Binary Features from Robust Orientation Segment Tests accelerated on the GPU

Jaco Cronje

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

January 5, 2012 by hgpu

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Vincent de Ladurantaye, Jean Lavoie, Jocelyn Bergeron, Maxime Parenteau, Huizhong Lu, Ramin Pichevar, Jean Rouat

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Tags: Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce GTX 285, Pattern recognition

January 5, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

Pyramidal Image Blending Using CUDA Framework

Pritam Prakash Shete, Venkat P. P. K., S. K. Bose

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600, Optimization

January 5, 2012 by hgpu

Abundance Estimation Algorithms using NVIDIA CUDA Technology

David Gonzalez, Christian Sanchez, Ricardo Veguilla, Nayda G. Santiago, Samuel Rosario-Torres, Miguel Velez-Reyes

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

January 5, 2012 by hgpu

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Jonatan Ward, Sergey Andreev, Francisco Heredia, Bogdan Lazar, Zlatka Manevska

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Tags: Algorithms, CNN, Computer science, CUDA, GPU cluster, Neural networks, nVidia, nVidia GeForce GTX 570, Performance

January 4, 2012 by hgpu

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Zhong Chen, Jack Chua

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2090

January 4, 2012 by hgpu

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Jim Braux-Zin

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Tags: Algorithms, Augmented reality, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Optimization, Stereo vision

January 4, 2012 by hgpu

Analysis of Real-Time Stereo Vision Algorithms On GPU

Ratheesh Kalarot, John Morris, David Berry, James Dunning

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 480, Stereo vision

January 4, 2012 by hgpu

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Tian Jihua, Sun Jinping, Zhang Yuxi, Najeeb Ahmad, Zhang Bingchen

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Sensing, Tesla C1060

January 4, 2012 by hgpu

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Tesla C2050

January 4, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

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high performance computing on graphics processing units: hgpu.org

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

BFROST: Binary Features from Robust Orientation Segment Tests accelerated on the GPU

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Pyramidal Image Blending Using CUDA Framework

Abundance Estimation Algorithms using NVIDIA CUDA Technology

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Analysis of Real-Time Stereo Vision Algorithms On GPU

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Evaluating polynomials in several variables and their derivatives on a GPU computing processor

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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