high performance computing on graphics processing units: hgpu.org

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Colour flux-tubes in static Pentaquark and Tetraquark systems

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

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Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Package, Physics, QCD, Tesla C2070

November 3, 2011 by hgpu

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Computer science, CUDA, Differential evolution, Genetic programming, Metaheuristics, nVidia, Task scheduling, Tesla C2050

November 2, 2011 by hgpu

Multi-view Rendering Approach for Cloud-based Gaming Services

Sung-Soo Kim, Kyoung-Ill Kim, Jongho Won

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Tags: Algorithms, Cloud, Computer science, DirectX, Games, HLSL, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 4000, Rendering

November 2, 2011 by hgpu

Analyzing Password Strength and Efficient Password Cracking

Shiva Houshmand Yazdi

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Security, Thesis

November 2, 2011 by hgpu

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Karl-Ingo Friese, Philipp Blanke, Franz-Erich Wolter

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Tags: Computer science, Medicine, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M, OpenGL, Package, Virtual reality, Visualization

November 2, 2011 by hgpu

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Lancelot Perrotte, Bruno Bodin, Laurent Chodorge

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Tags: Algorithms, CUDA, Floating point error, Nuclear physics, nVidia, nVidia GeForce GTX 295, Physics, Raytracing

November 2, 2011 by hgpu

Finite Volume Errors in B_K

Jangho Kim, Hyung-Jin Kim, Weonjong Lee, Chulwoo Jung, Stephen R. Sharpe

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

Yong-Chull Jang, Hyung-Jin Kim, Weonjong Lee

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Tags: Algorithms, Cg, Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Mixed precision, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Chris Cowdery-Corvan, Liangyi Fan, Thomas Knack

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Tags: Computer science, Computer vision, CUDA, nVidia

November 1, 2011 by hgpu

Exploring Fine-Grained Task-based Execution on Multi-GPU Systems

Long Chen, Oreste Villa, Guang R. Gao

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Tags: Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, Tesla C1060

November 1, 2011 by hgpu

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

Wu Jiun-Yu, Wang Yao-Tsung, Shiau Steven, Wang Hui Ching

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce 9800 GT

November 1, 2011 by hgpu

Quantum chemical many-body theory on heterogeneous nodes

A. Eugene DePrince, Jeff R. Hammond

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Tags: Algorithms, Computational chemistry, CUBLAS, CUDA, Heterogeneous systems, nVidia, Presentation, Tesla C1060, Tesla C2050

November 1, 2011 by hgpu

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

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

Colour flux-tubes in static Pentaquark and Tetraquark systems

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Analyzing Password Strength and Efficient Password Cracking

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Finite Volume Errors in B_K

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Exploring Fine-Grained Task-based Execution on Multi-GPU Systems

Using DRBL to Deploy MPICH2 and CUDA on Green Computing

Quantum chemical many-body theory on heterogeneous nodes

Recent source codes

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

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

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

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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