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3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Rene Wagner, Udo Frese, Berthold Bauml

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

March 12, 2013 by hgpu

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs

Julien Jaeger, Denis Barthou

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5800

March 12, 2013 by hgpu

Morph Algorithms on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Programming techniques, Tesla C2070

March 12, 2013 by hgpu

Speeding Up Model Building for ECGA on CUDA Platform

Chung-Yu Shao, Tian-Li Yu

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, Tesla C2050

March 9, 2013 by hgpu

Signal Processing and General Purpose Computing on GPU

Muge Guher

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Tags: CUDA, nVidia, Signal processing, Tesla C2050

March 9, 2013 by hgpu

Detecting Computer Viruses using GPUs

Alexandre Nuno Vicente Dias

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla C2050, Thesis

March 9, 2013 by hgpu

CU2rCU: A CUDA-to-rCUDA Converter

Carlos Reano Gonzalez

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tesla C1060, Tesla C2050, Thesis

March 9, 2013 by hgpu

GPU accelerated maximum cardinality matching algorithms for bipartite graphs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C2050

March 9, 2013 by hgpu

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Alexandru Pirjan, Dana-Mihaela Petrosanu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Sorting

March 7, 2013 by hgpu

GPU based Eulerian Assembly of Genomes

Syed Faraz Mahmood

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 5800, Thesis

March 7, 2013 by hgpu

GPU-Accelerated Standardand Multi-Population Cultural Algorithms

Jianqiang Dong and Bo Yuan

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti

March 7, 2013 by hgpu

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Krisztian Mihaly, Oliver Hornyak

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 520 M, Task scheduling

March 7, 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

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

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs

Morph Algorithms on GPUs

Speeding Up Model Building for ECGA on CUDA Platform

Signal Processing and General Purpose Computing on GPU

Detecting Computer Viruses using GPUs

CU2rCU: A CUDA-to-rCUDA Converter

GPU accelerated maximum cardinality matching algorithms for bipartite graphs

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

GPU based Eulerian Assembly of Genomes

GPU-Accelerated Standardand Multi-Population Cultural Algorithms

Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

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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