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X-Device Query Processing by Bitwise Distribution

Holger Pirk, Thibault Sellam, Stefan Manegold, Martin Kersten

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

May 30, 2012 by hgpu

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Michael Kopp, Felix Hofling

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Source codes

Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Tesla C2050, Tesla S1070

May 30, 2012 by hgpu

Performance-Analysis-Based Acceleration of Image Quality Assessment

Thien Phan, Sohum Sohoni, Damon M. Chandler, Eric C. Larson

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560 Ti

May 29, 2012 by hgpu

A GPU-Based Track-Repeating Algorithm for Dose Calculation for Photon Radiotherapy

Pablo Yepes

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Tags: Algorithms, CUDA, Medicine, nVidia, nVidia GeForce GTX 295, Proton radiotherapy, Radiotherapy

May 29, 2012 by hgpu

Hybrid Update Algorithms for Regular Lattice and Small-World Ising Models on Graphical Processing Units

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Ising model, nVidia, Physics

May 29, 2012 by hgpu

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

Vincent Stanley Dayes

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce 8400 GS, Thesis

May 29, 2012 by hgpu

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Philippe Estival, Luc Giraud

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla T10

May 29, 2012 by hgpu

Using OpenCL to Calculate a Pressure Field

David Prairie, Cory Klokman, Leo Makowski

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Tags: Computer science, CUDA, nVidia, OpenCL

May 29, 2012 by hgpu

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Aurel A. Lazar, Yiyin Zhou

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Neural networks, nVidia, Tesla M2050

May 29, 2012 by hgpu

Parameterized Verification of GPU Kernel Programs

Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Optimization

May 26, 2012 by hgpu

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

May 26, 2012 by hgpu

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

Andreas W. Gotz, Mark J. Williamson, Dong Xu, Duncan Poole, Scott Le Grand, Ross C. Walker

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, Tesla C1060, Tesla C2070, Tesla M2090

May 26, 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

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high performance computing on graphics processing units: hgpu.org

Programming

X-Device Query Processing by Bitwise Distribution

GPU-accelerated simulation of colloidal suspensions with direct hydrodynamic interactions

Performance-Analysis-Based Acceleration of Image Quality Assessment

A GPU-Based Track-Repeating Algorithm for Dose Calculation for Photon Radiotherapy

Hybrid Update Algorithms for Regular Lattice and Small-World Ising Models on Graphical Processing Units

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Using OpenCL to Calculate a Pressure Field

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Parameterized Verification of GPU Kernel Programs

Parallel Parametric Optimisation with Firefly Algorithms on Graphical Processing Units

Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born

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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