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GPU Sparse Matrix Multiplication with CUDA

Sean Rose

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tutorial

May 9, 2013 by hgpu

OpenCL Implementation of Motion Estimation for Cloud Video Processing

Raffaele Gaetano, Beatrice Pesquet-Popescu

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Tags: Algorithms, Cloud, Computer science, nVidia, OpenCL, Tesla C1060

May 9, 2013 by hgpu

libWater: Heterogeneous Distributed Computing Made Easy

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, OpenCL

May 9, 2013 by hgpu

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

R. Gaetano, G. Chierchia, B. Pesquet-Popescu

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Tags: Algorithms, Computer science, nVidia, OpenCL, Optimization, Stereo vision, Tesla C1060

May 9, 2013 by hgpu

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Chi-Jer Yu, Chii-Tung Liu

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Tags: Algorithms, Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GTX 280

May 8, 2013 by hgpu

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

D. MacTaggart, A. Elsheikh, J. A. McLaughlin, R. D. Simitev

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Tags: Astrophysics, CUDA, Differential equations, Electrodynamics, Finite difference, Magnetohydrodynamics, nVidia, Partial differential equations, PDEs

May 8, 2013 by hgpu

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Gunter Schneckenreither, Stefan Hepp, Daniel Prokesch

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, OpenGL

May 8, 2013 by hgpu

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Xiang Ying, Shi-Qing Xin, Ying He

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Tags: Algorithms, Computer science, CUDA, Geodesic Distances, Graphics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 470, nVidia GeForce GTX 580

May 8, 2013 by hgpu

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Peter Wittek

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Tags: Computer science, CUDA, Mathematical Software, MPI, Neural and Evolutionary Computing, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

May 8, 2013 by hgpu

Performance impact of dynamic parallelism on different clustering algorithms

Jeffrey DiMarco, Michela Taufer

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Tags: Algorithms, Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, Tesla K20

May 7, 2013 by hgpu

Color and motion-based particle filter target tracking in a network of overlapping cameras with multi-threading and GPGPU

Francisco Madrigal, Jean-Bernard Hayet

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce 9400 M

May 7, 2013 by hgpu

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Benjamin D. Wibking

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Tags: Astrophysics, Cosmology, CUDA, Gravitation, N-body simulation, nVidia, Package, Thesis

May 7, 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

GPU Sparse Matrix Multiplication with CUDA

libWater: Heterogeneous Distributed Computing Made Easy

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Performance impact of dynamic parallelism on different clustering algorithms

Color and motion-based particle filter target tracking in a network of overlapping cameras with multi-threading and GPGPU

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

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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