high performance computing on graphics processing units: hgpu.org

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Hardware accelerated symmetric condensed node TLM procedure for NVIDIA graphics processing units

Filippo Rossi, Poman P.M. So

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8800 Ultra, nVidia Quadro FX 5600, nVidia Quadro FX 570 M

June 29, 2011 by hgpu

GPUMP: A Multiple-Precision Integer Library for GPUs

Kaiyong Zhao, Xiaowen Chu

Tags: Computer science, CUDA, Extended precision, nVidia

June 29, 2011 by hgpu

Caustics Mapping: An Image-Space Technique for Real-Time Caustics

Musawir Shah, Jaakko Konttinen, Sumanta Pattanaik

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Tags: Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 7800, Real-time graphics, Rendering

June 29, 2011 by hgpu

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

Roberto Roverso, Amgad Naiem, Mohammed El-Beltagy, Sameh El-Ansary

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Tags: CUDA, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 295, Optimization, Performance

June 29, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

Real-time Geometric Calibration on graphics processing unit with CUDA

Ying Ding, Wen-hui Li, Jing-tao Fan, Hua-min Yang

Tags: Computer science, CUDA, nVidia, Real-time graphics

June 28, 2011 by hgpu

Spring-Bead Animation of Viscoelastic Materials

Nobuhiko Tamura, Norimichi Tsumura, Toshiya Nakaguchi, Yoichi Miyake

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Tags: Computer science, DirectX, nVidia, nVidia GeForce FX 6800, Particle simulation, Viscoelasticity, Visualization

June 28, 2011 by hgpu

High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

Performance and Power Efficiency Analysis of the Symmetric Cryptograph on Two Stream Processor Architectures

Guang Xu, Hong An, Gu Liu, Ping Yao, Mu Xu, Wenting Han, Xiaoqiang Li, Xiurui Hao

Tags: AES, Computer science, Energy-efficient computing, nVidia, nVidia GeForce 9800 GTX, Security

June 28, 2011 by hgpu

Petascale turbulence simulation using a highly parallel fast multipole method

Rio Yokota, Tetsu Narumi, L. A. Barba, Kenji Yasuoka

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Tags: Computational Physics, CUDA, Fast multipole method, Fluid dynamics, Numerical Analysis, nVidia, Tesla M2050

June 28, 2011 by hgpu

A High Performance Massively Parallel Approach for Real Time Deformable Body Physics Simulation

Thiago S.M.C de Farias, Mozart W.S. Almeida, Joao Marcelo X.N. Teixeira, Veronica Teichrieb, Judith Kelner

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Tags: Algorithms, Computer science, CUDA, Games, nVidia, nVidia GeForce 8800 GTX, Physics-based simulation, Visualization

June 27, 2011 by hgpu

Looking at the surprise: Bottom-up attentional control of an active camera system

Tingting Xu, Quirin Muhlbauer, Stefan Sosnowski, Kolja Kuhnlenz, Martin Buss

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

June 27, 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

Hardware accelerated symmetric condensed node TLM procedure for NVIDIA graphics processing units

GPUMP: A Multiple-Precision Integer Library for GPUs

Caustics Mapping: An Image-Space Technique for Real-Time Caustics

GPU-Based Heuristic Solver for Linear Sum Assignment Problems Under Real-time Constraints

QCD simulations with staggered fermions on GPUs

Real-time Geometric Calibration on graphics processing unit with CUDA

Spring-Bead Animation of Viscoelastic Materials

High-performance 3D Compressive Sensing MRI reconstruction

Performance and Power Efficiency Analysis of the Symmetric Cryptograph on Two Stream Processor Architectures

Petascale turbulence simulation using a highly parallel fast multipole method

A High Performance Massively Parallel Approach for Real Time Deformable Body Physics Simulation

Looking at the surprise: Bottom-up attentional control of an active camera system

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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