high performance computing on graphics processing units: hgpu.org

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GPU Accelerators for Evolvable Cellular Automata

Ludek Zaloudek, Lukas Sekanina, Vaclav Simek

Tags: Cellular automata, Computer science, CUDA, Genetic programming, nVidia

March 23, 2011 by hgpu

On Using GPU to Compute Options and Derivatives

Option Models

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Tags: Computational finance, CUDA, Finance, nVidia, nVidia GeForce 8800 GT

March 23, 2011 by hgpu

Efficient stream reduction on the GPU

David Roger, Ulf Assarsson, Nicolas Holzschuch

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Programming techniques

March 23, 2011 by hgpu

A GPGPU solution of the FMM near interactions for acoustic scattering problems

Miguel Lopez-Portugues, Jesus Lopez-Fernandez, Alberto Rodriguez-Campa, Jose Ranilla

Tags: Acoustics, Fast multipole method, nVidia, nVidia GeForce GTX 480, Signal processing

March 22, 2011 by hgpu

Fast and accurate PIV computation using highly parallel iterative correlation maximization

F. Champagnat, A. Plyer, G. Le Besnerais, B. Leclaire, S. Davoust, Y. Le Sant

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Tags: CUDA, Fluid dynamics, nVidia, Package, Tesla C1060

March 22, 2011 by hgpu

Bridging the GPGPU-FPGA efficiency gap

Christopher W. Fletcher, Ilia A. Lebedev, Narges B. Asadi, Daniel R. Burke, John Wawrzynek

Tags: Algorithms, Bayesian, Computer science, FPGA, Heterogeneous systems, nVidia, OpenCL

March 22, 2011 by hgpu

Improving accuracy for matrix multiplications on GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Performance

March 22, 2011 by hgpu

Evaluating force field accuracy with long-time simulations of a beta-hairpin tryptophan zipper peptide

N. R. Hayre, R. R. Singh, D. L. Cox

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Tags: Biophysics, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 285

March 22, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

Scott Grauer-Gray, Chandra Kambhamettu

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT

March 22, 2011 by hgpu

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

Scott Grauer-Gray, Chandra Kambhamettu, Kannappan Palaniappan

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT

March 22, 2011 by hgpu

GPU implemention of fast Gabor filters

Xin Xin Wang, E. Shi Bertram

Tags: Biology, Filtering, Image processing, nVidia, nVidia GeForce 9800 GTX

March 21, 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

GPU Accelerators for Evolvable Cellular Automata

On Using GPU to Compute Options and Derivatives

Efficient stream reduction on the GPU

A GPGPU solution of the FMM near interactions for acoustic scattering problems

Fast and accurate PIV computation using highly parallel iterative correlation maximization

Bridging the GPGPU-FPGA efficiency gap

Improving accuracy for matrix multiplications on GPUs

Evaluating force field accuracy with long-time simulations of a beta-hairpin tryptophan zipper peptide

fastHOG – a real-time GPU implementation of HOG

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

GPU implemention of fast Gabor filters

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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