high performance computing on graphics processing units: hgpu.org

Programming

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Matthias Bartelt, Michael Gross

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Tags: CUDA, Differential equations, Linear Algebra, Mathematics, Numerical simulation, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C2075

April 24, 2014 by hgpu

Faster Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Security

April 22, 2014 by hgpu

Reflector Antenna Analysis using Physical Optics on Graphics Processing Units

Oscar Borries, Hans Henrik Brandenborg Sorensen, Bernd Dammann, Erik Jorgensen, Peter Meincke, Stig Busk Sorensen, Per Christian Hansen

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Tags: CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 670, Optics, Physics

April 22, 2014 by hgpu

Measuring the evolving Internet ecosystem with exchange points

Mohammad Zubair Ahmad

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Tags: Computer science, CUDA, Machine learning, Networks, nVidia, nVidia GeForce 9400, nVidia GeForce GTX 260 M, Thesis

April 22, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Viragkumar N. Jagtap, Shailendra K. Mishra

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Tags: Computer science, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GT 630

April 21, 2014 by hgpu

Content Based Image Retrieval with Graphical Processing Unit

Bhavneet Kaur, Sonika Jindal

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Tags: Algorithms, CUDA, Image processing, Information Retrieval, nVidia

April 21, 2014 by hgpu

A GPU-Based Enhanced Genetic Algorithm for Power-Aware Task Scheduling Problem in HPC Cloud

Nguyen Quang-Hung, Le Thanh Tan, Chiem Thach Phat, Nam Thoai

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Tags: Cloud, Computer science, CUDA, nVidia, Probability, Task scheduling, Tesla M2090

April 21, 2014 by hgpu

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Eric Papenhausen, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 680

April 21, 2014 by hgpu

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Fan Li, Ming-lu Jin

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060, Tesla C2050

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

An Automated Tool for Converting Directive Based C Code Into Parallel CUDA Code

Batliwala Saifuddin, Kadtan Lalit, Khan Mujjammil, Khandagale Pratik, S. M. Walunj

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Tags: Code generation, Computer science, CUDA, nVidia

April 19, 2014 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

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Faster Maliciously Secure Two-Party Computation Using the GPU

Reflector Antenna Analysis using Physical Optics on Graphics Processing Units

Measuring the evolving Internet ecosystem with exchange points

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Fast Efficient Artificial Neural Network for Handwritten Digit Recognition

Content Based Image Retrieval with Graphical Processing Unit

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

GACO: A GPU-based High Performance Parallel Multi-ant Colony Optimization Algorithm

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

An Automated Tool for Converting Directive Based C Code Into Parallel CUDA Code

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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