high performance computing on graphics processing units: hgpu.org

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Unsafe Floating-point to Unsigned Integer Casting Check for GPU Programs

Wei-Fan Chiang, Ganesh Gopalakrishnan, Zvonimir Rakamaric

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Tags: Computer science, CUDA, nVidia

April 17, 2015 by hgpu

Arbitrary-Precision Arithmetics on the GPU

Bernhard Langer

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Tags: Computer science, CUDA, Extended precision, nVidia, nVidia Quadro K 2100 M

April 17, 2015 by hgpu

Deep convolutional networks for pancreas segmentation in CT imaging

Holger R. Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers

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Tags: Computed tomography, CT, CUDA, Deep learning, Medicine, Neural networks, nVidia, nVidia GeForce GTX Titan Z, Tomography

April 17, 2015 by hgpu

NBODY6++GPU: Ready for the gravitational million-body problem

Long Wang, Rainer Spurzem, Sverre Aarseth, Keigo Nitadori, Peter Berczik, M.B.N. Kouwenhoven, Thorsten Naab

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla K20

April 17, 2015 by hgpu

GPU Accelerated Randomized Singular Value Decomposition and Its Application in Image Compression

Hao Ji, Yaohang Li

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 780

April 14, 2015 by hgpu

A Parallel Tree Pattern Query Processing Algorithm for Graph Databases using a GPGPU

Lila Shnaiderman, Oded Shmueli

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

April 14, 2015 by hgpu

Image Classification with Pyramid Representation and Rotated Data Augmentation on Torch 7

Keven (Kedao) Wang

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GRID K520

April 14, 2015 by hgpu

GPU-based digital hologram reconstruction and particle detection

Daniel Benjamin Taylor

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Tags: Computer holography, Computer science, CUDA, nVidia, Tesla K20, Thesis

April 12, 2015 by hgpu

Framework for Batched and GPU-resident Factorization Algorithms Applied to Block Householder Transformations

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

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

April 12, 2015 by hgpu

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

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

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

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

Unsafe Floating-point to Unsigned Integer Casting Check for GPU Programs

Arbitrary-Precision Arithmetics on the GPU

Deep convolutional networks for pancreas segmentation in CT imaging

NBODY6++GPU: Ready for the gravitational million-body problem

GPU Accelerated Randomized Singular Value Decomposition and Its Application in Image Compression

A Parallel Tree Pattern Query Processing Algorithm for Graph Databases using a GPGPU

Image Classification with Pyramid Representation and Rotated Data Augmentation on Torch 7

GPU-based digital hologram reconstruction and particle detection

Framework for Batched and GPU-resident Factorization Algorithms Applied to Block Householder Transformations

Batched Matrix Computations on Hardware Accelerators

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

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

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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