high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Magdalena Slawinska, Karsten Schwan, Greg Eisenhauer

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla M2090

September 20, 2013 by hgpu

The Security of Key Derivation Functions in WINRAR

Jie Chen, Jun Zhou, Kun Pan, Shuqiang Lin, Cuicui Zhao, Xiaochao Li

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Tags: ATI, ATI Radeon HD 5970, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Security

September 20, 2013 by hgpu

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Guohui Wang, Blaine Rister, Joseph R. Cavallaro

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Tags: ARM, Computational Complexity, Computer science, Computer vision, OpenCL, SIFT

September 20, 2013 by hgpu

Exponential Integrators on Graphics Processing Units

Lukas Einkemmer, Alexander Ostermann

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Tags: Computer science, CUDA, Differential equations, Numerical Analysis, nVidia, Tesla C1060, Tesla C2075

September 20, 2013 by hgpu

Adjustable GPU Acceleration for Hermitian Eigensystems

Michael T. Garba, Horacio Gonzalez-Velez, Daniel L. Roach

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

September 18, 2013 by hgpu

Sparse Matrix Algorithms Using GPGPU

Kaupo Kuresson

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, nVidia, OpenCL, Package, Sparse matrix, Tesla S1070, Tesla T10, Thesis

September 18, 2013 by hgpu

Acceleration of recovery simulation on big model using GPU

T. T. Bekibayev, B. K. Assilbekov, U. K. Zhapbasbayev

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

September 18, 2013 by hgpu

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Lixiang Wang, Shihai Li, Guoxin Zhang, Zhaosong Ma, Lei Zhang

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Tags: Computer science, CUDA, FEM, Finite element method, Nonlinear analysis, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, nVidia GeForce GTX 680

September 18, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 2013 by hgpu

Kokkos: Enabling performance portability across manycore architectures

H. Carter Edwards, Christian R. Trott

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Tags: Code generation, Computer science, CUDA, Intel Phi, Molecular dynamics, nVidia, Package, Tesla K20

September 17, 2013 by hgpu

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Guohui Wang, Michael Wu, Bei Yin, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Parity-check codes

September 17, 2013 by hgpu

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Leonid Djinevski, Sime Arsenovski, Sasko Ristov, Marjan Gusev

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, Memory, nVidia, nVidia GeForce GTX 680, Performance

September 16, 2013 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

Applications

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

The Security of Key Derivation Functions in WINRAR

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Exponential Integrators on Graphics Processing Units

Adjustable GPU Acceleration for Hermitian Eigensystems

Sparse Matrix Algorithms Using GPGPU

Acceleration of recovery simulation on big model using GPU

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Kokkos: Enabling performance portability across manycore architectures

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Optimal Configuration of GPU Cache Memory to Maximize the Performance

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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