high performance computing on graphics processing units: hgpu.org

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hgpu.org » Programming » Algorithms

A Parallel Preconditioned Bi-Conjugate Gradient Stabilized Solver for the Poisson Problem

Ning Zhao, Xuben Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 610 M, Sparse matrix

December 20, 2012 by hgpu

Face Detection with Improved Local Binary Patterns in CUDA

Jeaff Wang, Richard Abrich

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

December 18, 2012 by hgpu

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Sean Youngsung Lee

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070, Thesis

December 18, 2012 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Amik Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Real-time adaptive algorithms using a Graphics Processing Unit

Jorge Lorente, Miguel Ferrer, Jose A. Belloch, Gema Pinero, Maria de Diego, Alberto Gonzalez, Antonio M. Vidal

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Tags: Acoustics, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

December 14, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

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Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 by hgpu

Fast and Robust Linear Motion Deblurring

Martin Welk, Patrik Raudaschl, Thomas Schwarzbauer, Martin Erler, Martin Lauter

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 260

December 12, 2012 by hgpu

A GPU-Based Parallel Algorithm for Design Structure Matrix (DSM) Partition

Jing Yuxin,Huang Yu,Shikun Zhang, Cui Weilong

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Tags: Algorithms, Computer science, CUDA, nVidia, Software Engineering

December 10, 2012 by hgpu

Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

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Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

Fully Parallel Particle Learning for GPGPUs and Other Parallel Devices

Kenichiro McAlinn, Hiroaki Katsura, Teruo Nakatsuma

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Tags: Algorithms, Bayesian, CUDA, nVidia, nVidia GeForce GTX 580, Particle filtering, Statistics

December 10, 2012 by hgpu

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

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A Parallel Preconditioned Bi-Conjugate Gradient Stabilized Solver for the Poisson Problem

Face Detection with Improved Local Binary Patterns in CUDA

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Real-time adaptive algorithms using a Graphics Processing Unit

Towards Domain-specific Computing for Stencil Codes in HPC

Fast and Robust Linear Motion Deblurring

A GPU-Based Parallel Algorithm for Design Structure Matrix (DSM) Partition

Vectorized Higher Order Finite Difference Kernels

Fully Parallel Particle Learning for GPGPUs and Other Parallel Devices

Recent source codes

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

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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