high performance computing on graphics processing units: hgpu.org

Programming

High performance bioinformatics and computational biology on general-purpose graphics processing units

Cheng Ling

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Tags: Bioinformatics, Biology, Computational biology, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 460, Sequence alignment, Thesis

January 3, 2013 by hgpu

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Denis Demidov, Karsten Ahnert, Karl Rupp, Peter Gottschling

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Source codes

Tags: ATI, ATI Radeon HD 7970, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, OpenCL, Ordinary differential equations, Package, Tesla C2070

January 2, 2013 by hgpu

Inertial Coupling Method for particles in an incompressible fluctuating fluid

F. Balboa Usabiaga, R. Delgado-Buscalioni, B. E. Griffith, A. Donev

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Tags: Condensed matter, CUDA, FFT, nVidia, Soft Condensed Matter

January 2, 2013 by hgpu

Molecular dynamics simulations with many-body potentials on multiple GPUs – the implementation, package and performance

Qing Hou, Min Li, Yulu Zhou, Jiechao Cui, Zhenguo Cui, Jun Wang

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Tags: Computational Physics, CUDA, GPU cluster, Materials Science, Molecular dynamics, nVidia, Physics, Tesla C2050

January 2, 2013 by hgpu

Stereoscopic Ray Tracing on Graphics Processors

Alper Das

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

December 30, 2012 by hgpu

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Bassem Ibrahim Sheta

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GT 540 M, Thesis

December 30, 2012 by hgpu

Fast Retinal Vessel Analysis

Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert

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Tags: Algorithms, CUDA, Image processing, Mathematics, Medicine, nVidia, nVidia GeForce GTX 680, Radon transform

December 29, 2012 by hgpu

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Rohit Nigam, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Raytracing

December 29, 2012 by hgpu

GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger

D. Emeliyanov, J. Howard

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Tags: CUDA, Data acquisition, Instrumentation and measurement, Nuclear physics, nVidia, Particle physics and field theory, Physics, Tesla C2050

December 29, 2012 by hgpu

Radionuclides migration modelling using artificial neural networks and parallel computing

O.S. Hilko, S.P. Kundas, I.A. Gishkeluk

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Tags: Algorithms, Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 220 M

December 29, 2012 by hgpu

GPU-accelerated MRF segmentation algorithm for SAR images

Haigang Sui, Feifei Peng, Chuan Xu, Kaimin Sun, Jianya Gong

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9800 GT

December 29, 2012 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

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

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

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

High performance bioinformatics and computational biology on general-purpose graphics processing units

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Inertial Coupling Method for particles in an incompressible fluctuating fluid

Molecular dynamics simulations with many-body potentials on multiple GPUs – the implementation, package and performance

Stereoscopic Ray Tracing on Graphics Processors

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Fast Retinal Vessel Analysis

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

GPU-Based Tracking Algorithms for the ATLAS High-Level Trigger

Radionuclides migration modelling using artificial neural networks and parallel computing

GPU-accelerated MRF segmentation algorithm for SAR images

Task-based Conjugate-Gradient for multi-GPUs platforms

Recent source codes

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

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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