high performance computing on graphics processing units: hgpu.org

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Cellular GPU Models to Euclidean Optimization Problems

Naiyu Zhang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 570, Optimization, Self-organizing map, Thesis

April 27, 2014 by hgpu

On the Parallelization of Integer Polynomial Multiplication

Farnam Mansouri

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Symbolic Computation, Tesla C2050, Thesis

April 25, 2014 by hgpu

A new way in few-body scattering calculations: discretized Faddeev equations solved on GPU

V.N. Pomerantsev, V.I. Kukulin, O.A. Rubtsova

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Tags: CUDA, Nuclear Theory, nVidia, nVidia GeForce GTX 670, Physics

April 25, 2014 by hgpu

Integrating multi-threading and accelerators into DUNE-ISTL

Steffen Muthing, Dirk Ribbrock, Dominik Goddeke

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, MPI, nVidia, Partial differential equations, PDEs, Tesla C2070

April 25, 2014 by hgpu

One weird trick for parallelizing convolutional neural networks

Alex Krizhevsky

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, Tesla K20

April 25, 2014 by hgpu

Neural Decoding using a Parallel Sequential Monte Carlo method on Point Processes with Ensemble Effect

Kai Xu, Yiwen Wang, Fang Wang, Yuxi Liao, Qiaosheng Zhang, Hongbao Li, Xiaoxiang Zheng

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Tags: Algorithms, Biology, CUDA, nVidia, nVidia GeForce GT 730 M

April 25, 2014 by hgpu

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Donald Lloyd van Blommestein

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9600 GT, OpenCV, Thesis

April 24, 2014 by hgpu

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin, Juan Manuel Garcia-Chamizo

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce GTX 480

April 24, 2014 by hgpu

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

Yunan Cao, Peiqing Ye, Qinjian Zhang, Jianyong Li

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Tags: CAD, Computer science, CUDA, nVidia

April 24, 2014 by hgpu

A GPU Framework for Sparse Matrix Vector Multiplication

B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Sparse matrix

April 24, 2014 by hgpu

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Matthias Bartelt, Michael Gross

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Tags: CUDA, Differential equations, Linear Algebra, Mathematics, Numerical simulation, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C2075

April 24, 2014 by hgpu

Faster Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Security

April 22, 2014 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

Cellular GPU Models to Euclidean Optimization Problems

On the Parallelization of Integer Polynomial Multiplication

A new way in few-body scattering calculations: discretized Faddeev equations solved on GPU

Integrating multi-threading and accelerators into DUNE-ISTL

One weird trick for parallelizing convolutional neural networks

Neural Decoding using a Parallel Sequential Monte Carlo method on Point Processes with Ensemble Effect

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

A GPU Framework for Sparse Matrix Vector Multiplication

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Faster Maliciously Secure Two-Party Computation Using the GPU

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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