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Parallel Pseudo-Random Number Generation

Nimalan Nandapalan, Richard Brent

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, Pseudo-random number generators, Review

November 28, 2011 by hgpu

Domain-Specific Optimizations Supporting Real-Time Image Compression

Jiri Matela

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Tags: Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Optimization, Thesis

November 28, 2011 by hgpu

Assembly of finite element methods on graphics processors

Cris Cecka, Adrian J. Lew, E. Darve

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX, Tesla C1060

November 27, 2011 by hgpu

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

A GPU-based Simulation for Stochastic Computing

Peng Li, Weijun Xiao, David J. Lilja

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, Probability, Stochastic simulation, Tesla C2050

November 27, 2011 by hgpu

Scalable Multi-Cache Simulation Using GPUs

Michael Moeng, Sangyeun Cho, Rami Melhem

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Tags: Analytical model, Computer science, CUDA, FPGA, Memory, nVidia, nVidia GeForce GTS 450

November 27, 2011 by hgpu

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

N. Melab, T-V. Luong, K. Boufaras, E-G. Talbi

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Source codes

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 480, Package

November 27, 2011 by hgpu

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Numerical Precision and Benchmarking Very-High-Order Integration of Particle Dynamics on GPU Accelerators

K.A. Hawick, D.P. Playne, M.G.B. Johnson

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Tags: Algorithms, Benchmarking, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

November 27, 2011 by hgpu

GPU Implementation of Spiking Neural Networks for Color Image Segmentation

Ermai Xie, Martin McGinnity, QingXiang Wu, Jianyong Cai, Rontai Cai

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Tags: CUDA, Image processing, Neural networks, nVidia, nVidia Quadro FX 3800

November 27, 2011 by hgpu

A GPU based Parallel Hierarchical Fuzzy ART Clustering

Sejun Kim

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Tags: Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, nVidia GeForce GTX 480

November 27, 2011 by hgpu

Iterative Solution of Linear Systems in Electromagnetics (and not only): Experiences with CUDA

Danilo De Donno, Alessandra Esposito, Giuseppina Monti, Luciano Tarricone

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 260

November 26, 2011 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

Parallel Pseudo-Random Number Generation

Domain-Specific Optimizations Supporting Real-Time Image Compression

Assembly of finite element methods on graphics processors

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

A GPU-based Simulation for Stochastic Computing

Scalable Multi-Cache Simulation Using GPUs

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Numerical Precision and Benchmarking Very-High-Order Integration of Particle Dynamics on GPU Accelerators

GPU Implementation of Spiking Neural Networks for Color Image Segmentation

A GPU based Parallel Hierarchical Fuzzy ART Clustering

Iterative Solution of Linear Systems in Electromagnetics (and not only): Experiences with CUDA

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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