high performance computing on graphics processing units: hgpu.org

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Batched Matrix Computations on Hardware Accelerators

Azzam Haidar, Tingxing Dong, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

April 12, 2015 by hgpu

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image

Narmada Naik, G.N Rathna

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Tags: Algorithms, ATI, ATI Radeon HD 7670 M, Computer science, Computer vision, Face detection, OpenCL, OpenCV

April 12, 2015 by hgpu

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Wim Vanderbauwhede

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Weather prediction, Weather Prediction Model

April 12, 2015 by hgpu

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications

Mohamed Wahib, Naoya Maruyama

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Tags: CUDA, Stencil computation

April 9, 2015 by wahibium

Finite element numerical integration for first order approximations on multi-core architectures

Krzysztof Banas, Filip Kruzel, Jan Bielanski

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Tags: Algorithms, Computer science, Intel Xeon Phi, Mathematical Software, nVidia, OpenCL, Tesla K20

April 8, 2015 by hgpu

GPU Accelerated Strong and Branching Bisimilarity Checking

Anton Wijs

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla K20

April 8, 2015 by hgpu

Enhancing Fluid Modeling with Turbulence and Acceleration

Chen Fan

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C1060, Thesis

April 8, 2015 by hgpu

Benchmarking the cost of thread divergence in CUDA

Piotr Bialas, Adam Strzelecki

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GT 610, nVidia GeForce GT 755 M, nVidia GeForce GTX 480, nVidia GeForce GTX 650 M, nVidia GeForce GTX 770, nVidia GeForce GTX 850 M, Performance

April 8, 2015 by hgpu

clRNG: A Random Number API with Multiple Streams for OpenCL

Pierre L'Ecuyer, David Munger, Nabil Kemerchou

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Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Pseudo-random number generators

April 7, 2015 by hgpu

State Lattice-based Motion Planning for Autonomous On-Road Driving

Shuiying Wang

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Tags: Computer science, CUDA, nVidia, OpenGL, Path problems, Rendering, Thesis

April 7, 2015 by hgpu

Multi-Lingual Speech Recognition with Low-Rank Multi-Task Deep Neural Networks

Aanchan Mohan, Richard Rose

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Speech recognition, Tesla K20

April 7, 2015 by hgpu

Flexible, Fast and Accurate Sequence Alignment Profiling on GPGPU with PaSWAS

Sven Warris, Feyruz Yalcin, Katherine J. L. Jackson, Jan Peter Nap

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Package, Sequence alignment, Smith-Waterman algorithm, Tesla C1060

April 7, 2015 by hgpu

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

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Programming

Batched Matrix Computations on Hardware Accelerators

Robust real time face recognition and tracking on gpu using fusion of rgb and depth image

Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications

Finite element numerical integration for first order approximations on multi-core architectures

GPU Accelerated Strong and Branching Bisimilarity Checking

Enhancing Fluid Modeling with Turbulence and Acceleration

Benchmarking the cost of thread divergence in CUDA

clRNG: A Random Number API with Multiple Streams for OpenCL

State Lattice-based Motion Planning for Autonomous On-Road Driving

Multi-Lingual Speech Recognition with Low-Rank Multi-Task Deep Neural Networks

Flexible, Fast and Accurate Sequence Alignment Profiling on GPGPU with PaSWAS

Recent source codes

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

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

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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

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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