high performance computing on graphics processing units: hgpu.org

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Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Charl van Deventer, Willem A. Clarke, Scott Hazelhurst

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package, Thesis

September 15, 2013 by hgpu

Quine-McCluskey algorithm on GPGPU

Vladimir Siladi, Tomas Filo

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 550 Ti

September 15, 2013 by hgpu

A GPU-based Affine and Scale Invariant Feature Transform Algorithm

Guofeng Tong, Xiangnan Meng, Ning Ye

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Tags: Algorithms, Computer science, Computer vision, CUDA, Interactive application, nVidia, nVidia GeForce GTX 560 Ti

September 14, 2013 by hgpu

Efficient CUDA polynomial preconditioned Conjugate Gradient solver for Finite Element computation of elasticity problems

Jianfei Zhang, Lei Zhang

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Mixed precision, nVidia, nVidia GeForce GT 430, Sparse matrix

September 14, 2013 by hgpu

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Kyle E Niemeyer, Chih-Jen Sung

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Tags: Algorithms, Computational Physics, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, OpenACC, Package, Review, Tesla C2075

September 13, 2013 by hgpu

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Kyle E Niemeyer, Chih-Jen Sung

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla C2075

September 13, 2013 by hgpu

Fast computation of computer-generated hologram using Xeon Phi coprocessor

Koki Murano, Tomoyoshi Shimobaba, Atsushi Sugiyama, Naoki Takada, Takashi Kakue, Minoru Oikawa, Tomoyoshi Ito

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Tags: Algorithms, Computational Physics, Computer holography, CUDA, Intel Phi, nVidia, Performance, Physics, Tesla K20

September 13, 2013 by hgpu

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

Francois Lehericey

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing, Thesis

September 11, 2013 by hgpu

GPU Implementations of Object Detection using HOG Features and Deformable Models

Manato Hirabayashi, Shinpei Kato, Masato Edahiro, Kazuya Takeda, Taiki Kawano, Seiichi Mita

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Tesla K20

September 11, 2013 by hgpu

OCT on CUDA: Speeding up the image reconstruction algorithm for an Optical Coherence Tomography system using NVIDIA’s CUDA platform

Amin Meyghani

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia Quadro 2000, Thesis, Tomography

September 11, 2013 by hgpu

A Mixed Hierarchical Algorithm for Nearest Neighbor Search

Carlo del Mundo, Mariam Umar

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Tesla C2075

September 11, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 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

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high performance computing on graphics processing units: hgpu.org

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Quine-McCluskey algorithm on GPGPU

A GPU-based Affine and Scale Invariant Feature Transform Algorithm

Efficient CUDA polynomial preconditioned Conjugate Gradient solver for Finite Element computation of elasticity problems

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Fast computation of computer-generated hologram using Xeon Phi coprocessor

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

GPU Implementations of Object Detection using HOG Features and Deformable Models

OCT on CUDA: Speeding up the image reconstruction algorithm for an Optical Coherence Tomography system using NVIDIA’s CUDA platform

A Mixed Hierarchical Algorithm for Nearest Neighbor Search

GPU Accelerated Particle Visualization with Splotch

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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