high performance computing on graphics processing units: hgpu.org

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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

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

On Password Guessing with GPUs and FPGAs

Markus Durmuth, Thorsten Kranz

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Tags: Computer science, CUDA, FPGA, Hashing, nVidia, nVidia GeForce GTX 480, Security

April 7, 2015 by hgpu

OmpSs task offload

Florentino Sainz

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla K20, Thesis

April 4, 2015 by hgpu

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

Shuotian Chen

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Tesla M2090, Thesis

April 4, 2015 by hgpu

An Effective Model of CPU/GPU Collaborative Computing in GPU Clusters

Yue Gu, Jian-Hua Gu, Xing-She Zhou

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050

April 4, 2015 by hgpu

The Design and Implementation of a Verification Technique for GPU Kernels

Adam Betts, Nathan Chong, Alastair F. Donaldson, Jeroen Ketema, Shaz Qadeer, Paul Thomson, John Wickerson

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Tags: ARM, ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2050

April 4, 2015 by hgpu

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 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

GPU Accelerated Strong and Branching Bisimilarity Checking

Enhancing Fluid Modeling with Turbulence and Acceleration

Benchmarking the cost of thread divergence in CUDA

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

On Password Guessing with GPUs and FPGAs

OmpSs task offload

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

An Effective Model of CPU/GPU Collaborative Computing in GPU Clusters

The Design and Implementation of a Verification Technique for GPU Kernels

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

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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