high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » OpenCL

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 2012 by hgpu

GPU-Based Airway Tree Segmentation and Centerline Extraction

Erik Smistad

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Tags: Algorithms, Medicine, nVidia, OpenCL, Package, Tesla C2070, Thesis, Tomography

November 18, 2012 by hgpu

Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

Erik Smistad, Anne C. Elster, Frank Lindseth

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Tags: ATI, ATI Radeon HD 5870, Medicine, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Tesla C2070, Visualization

November 14, 2012 by hgpu

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, Brian Vinter

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Tags: Computer science, OpenCL, Optimization, Package, Programming Languages, Python

November 5, 2012 by hgpu

DL: A data layout transformation system for heterogeneous computing

I-Jui Sung, Geng Daniel Liu, Wen-Mei W. Hwu

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package

November 1, 2012 by hgpu

Silhouette Extraction using Graphics Processing Units

Kristian Haga Karstensen

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package, Thesis

October 29, 2012 by hgpu

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

A.F. van Dixhoorn, J. Milles, B. van Lew, C.P. Botha

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Tags: Computer science, Filtering, Image generation, MRI, OpenCL, OpenGL, Package, Rendering, Visualization

October 26, 2012 by hgpu

AeminiumGPU: An Intelligent Framework for GPU Programming

Alcides Fonseca, Bruno Cabral

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Tags: Computer science, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Package

October 13, 2012 by hgpu

Accelerated protein structure comparison using TM-score-GPU

Ling-Hong Hung, Ram Samudrala

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Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, Clustering, OpenCL, Package

October 5, 2012 by hgpu

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Dmitry Mikushin, Nicolas Likhogrud

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Tags: Computer science, CUDA, nVidia, OpenCL, Package, Portability, Tesla C2050

October 3, 2012 by hgpu

A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package

September 11, 2012 by hgpu

Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

IntelliKit: Agent-first tooling for AMD hardware

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

DITRON: Distributed Compiler based on Triton for Parallel Systems

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs

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

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Programming

Auto-tunable GPU BLAS (thesis)

GPU-Based Airway Tree Segmentation and Centerline Extraction

Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

DL: A data layout transformation system for heterogeneous computing

Silhouette Extraction using Graphics Processing Units

BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization

AeminiumGPU: An Intelligent Framework for GPU Programming

Accelerated protein structure comparison using TM-score-GPU

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

A First Step Towards GPU-assisted Query Optimization

Mastering Software Variant Explosion for GPU Accelerators

Recent source codes

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

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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