high performance computing on graphics processing units: hgpu.org

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Processing Large-scale XML Files on GPGPU Cluster

Ping Liu

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Tags: Computer science, CUDA, GPU cluster, nVidia, OpenMPI, Performance, Tesla M2075

July 27, 2015 by hgpu

Fast-Coding Robust Motion Estimation Model in a GPU

Carlos Garcia, Guillermo Botella, Francisco de Sande, Manuel Prieto-Matias

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Tags: Image processing, nVidia, OpenACC, OpenMP, Tesla K20

July 27, 2015 by hgpu

Accelerating Protein Structure Prediction using Particle Swarm Optimization on GPU

Hamed Khakzad, Yasaman Karami, Seyed Shahriar Arab

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Particle swarm optimization, Sequence alignment, Tesla C1060

July 24, 2015 by hgpu

Comparison between GPU and parallel CPU optimizations in viewshed analysis

Tobias Axell, Mattias Friden

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 660 M, OpenCL, Thesis

July 24, 2015 by hgpu

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Baoguang Shi, Xiang Bai, Cong Yao

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, Tesla K40

July 24, 2015 by hgpu

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

Keiron O'Shea

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia, nVidia GeForce GTX 580

July 24, 2015 by hgpu

On the use of deep Boltzmann machines for road signs classification

Carlo D'Eramo

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Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Python, Tesla C1060, Thesis

July 22, 2015 by hgpu

An algebraic parallel treecode in arbitrary dimensions

William B. March, Bo Xiao, Chenhan D. Yu, George Biros

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Linear Algebra, MPI, nVidia, Tesla K40

July 22, 2015 by hgpu

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Srajan Paliwal, Saurabh Tiwary, Bhaskar Chaudhury, Manish K. Gupta

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Tags: Algorithms, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K40

July 22, 2015 by hgpu

Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data

Stefan Westerlund, Christopher Harris

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Tags: Astrophysics, CUDA, Filtering, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenCL, Programming techniques, Tesla C2075

July 20, 2015 by hgpu

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

Ashish Bhatnagar

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Tags: Algorithms, Computer science, Computer vision, GPU cluster, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 770, OpenCL, Thesis

July 20, 2015 by hgpu

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Mark James Abraham, Teemu Murtola, Roland Schulz, Szilard Pall, Jeremy C. Smith, Berk Hess, Erik Lindahl

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Source codes

Tags: Algorithms, Biomolecules, Chemistry, CUDA, Heterogeneous systems, Molecular simulation, nVidia, nVidia GeForce GTX 980, OpenCL, Package, Tesla K40

July 20, 2015 by hgpu

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

Analyzing the Impact of Kernel Fusion on GPU Tensor Operation Performance: A Systematic Performance Study

IntelliKit: Agent-first tooling for AMD hardware

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

DITRON: Distributed Compiler based on Triton for Parallel Systems

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Processing Large-scale XML Files on GPGPU Cluster

Fast-Coding Robust Motion Estimation Model in a GPU

Accelerating Protein Structure Prediction using Particle Swarm Optimization on GPU

Comparison between GPU and parallel CPU optimizations in viewshed analysis

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Massively Deep Artificial Neural Networks for Handwritten Digit Recognition

On the use of deep Boltzmann machines for road signs classification

An algebraic parallel treecode in arbitrary dimensions

Generating Binary Optimal Codes Using Heterogeneous Parallel Computing

Performance Analysis of GPU-Accelerated Filter-Based Source Finding for HI Spectral Line Image Data

Accelerating a Movie Recommender System Using VirtualCL on a Heterogeneous GPU Cluster

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

Recent source codes

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

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