high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Performance Evaluation of the Ocean-Land-Atmosphere Model Using Graphics Processing Units

Claudio Schepke, Nicolas Maillard

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Tags: CUDA, Earth and Space Sciences, nVidia, Tesla S1070

July 22, 2013 by hgpu

An overview of techniques for predicting the performance of GPU accelerated applications

Rafael Keller Tesser, Philippe O. A. Navaux

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Tags: Computer science, CUDA, nVidia, Overview, Performance

July 22, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 by hgpu

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

P. Rech, C. Aguiar, C. Frost, L. Carro

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Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce GTX 480

July 21, 2013 by hgpu

Detecting parametric objects in large scenes by Monte Carlo sampling

Yannick Verdie, Florent Lafarge

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 4800

July 21, 2013 by hgpu

The Astrophysical Multipurpose Software Environment

F.I. Pelupessy, A. van Elteren, N. de Vries, S.L.W. McMillan, N. Drost, S.F. Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, nVidia, Package, Python

July 21, 2013 by hgpu

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Simon Marlow

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Tags: Algorithms, Book, Computer science, Haskell

July 21, 2013 by hgpu

Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

Bone Structure Analysis with GPGPUs

Daniel Kellenberger

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 670, Tesla K20, Thesis

July 20, 2013 by hgpu

Lattice QCD on Intel Xeon Phi

Balint Joo, Dhiraj D. Kalamkar, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Kiran Pamnany, Victor W Lee, Pradeep Dubey, William Watson III

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Tags: CUDA, High Energy Physics - Lattice, Intel, Intel Phi, nVidia, Physics, QCD, Tesla K20

July 20, 2013 by hgpu

GPU Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Tesla C2075

July 20, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

Applications

Performance Evaluation of the Ocean-Land-Atmosphere Model Using Graphics Processing Units

An overview of techniques for predicting the performance of GPU accelerated applications

Automatic Generation of FFT Libraries for GPU Platforms

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

Detecting parametric objects in large scenes by Monte Carlo sampling

The Astrophysical Multipurpose Software Environment

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Image reconstruction in digital holographic microscopy on GPU

Bone Structure Analysis with GPGPUs

Lattice QCD on Intel Xeon Phi

GPU Computing in Economics

Real Time Pixel Art Remasterization on GPUs

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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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