high performance computing on graphics processing units: hgpu.org

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Two-fluid compressible simulations on GPU cluster

Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 320 M, OpenCL

March 15, 2014 by hgpu

Searching for sinks of Henon map using a multiple-precision GPU arithmetic library

Mioara Joldes, Valentina Popescu, Warwick Tucker

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Tags: Algorithms, Computer science, CUDA, Extended precision, nVidia, Tesla C2050

March 15, 2014 by hgpu

Simulation and modelling of gravitational microlensing events using graphical processing units

Cho Hong Ling

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Tags: Astrophysics, CUDA, Gravitation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Thesis

March 15, 2014 by hgpu

Interpolated pressure laws in two-fluid simulations and hyperbolicity

Philippe Helluy, Jonathan Jung

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Tags: Fluid dynamics, Fluid simulation, MPI, nVidia, OpenCL, Tesla K20

March 14, 2014 by hgpu

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Algorithms, Computer science, Computer vision, CUDA, Graph theory, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 580, Sorting

March 14, 2014 by hgpu

Initial condition for efficient mapping of level set algorithms on many-core architectures

Gabor Janos Tornai, Gyorgy Cserey

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Tags: Differential equations, nVidia, nVidia GeForce GTX 780, OpenCL, Package, Partial differential equations, PDEs, Signal processing

March 14, 2014 by hgpu

Visualizing Trends on Twitter

Cheng Hau Tong

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Thesis, Visualization

March 13, 2014 by hgpu

The Flocking Based and GPU Accelerated Internet Traffic Classification

Zhiguang Xu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 13, 2014 by hgpu

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S2050

March 12, 2014 by hgpu

Genetically Improved CUDA kernels for StereoCamera

W. B. Langdon, M. Harman

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Tags: Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050, Tesla K20, Tesla T10

March 12, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

Usman Roshan

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Tags: Bioinformatics, Biology, CUDA, nVidia, Short read mapping, Smith-Waterman algorithm, Tesla M2050

March 12, 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

Two-fluid compressible simulations on GPU cluster

Searching for sinks of Henon map using a multiple-precision GPU arithmetic library

Simulation and modelling of gravitational microlensing events using graphical processing units

Interpolated pressure laws in two-fluid simulations and hyperbolicity

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Initial condition for efficient mapping of level set algorithms on many-core architectures

Visualizing Trends on Twitter

The Flocking Based and GPU Accelerated Internet Traffic Classification

Locality optimization on a NUMA architecture for hybrid LU factorization

Genetically Improved CUDA kernels for StereoCamera

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

MaxSSmap: A GPU program for short read mapping with the maximum scoring subsequence

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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