high performance computing on graphics processing units: hgpu.org

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GPF: a framework for general packet classification on GPU co-processors

Alastair Nottingham

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Security, Thesis

September 25, 2012 by hgpu

Implementation and Analysis of AES Encryption on GPU

Qinjian Li, Chengwen Zhong, Kaiyong Zhao, Xinxin Mei, Xiaowen Chu

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2050

September 25, 2012 by hgpu

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

Shigeyoshi Tsutsui

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

September 24, 2012 by hgpu

GPU-based Offset Surface Computation using Point Samples

Charlie C. L. Wang, Dinesh Manocha

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

September 24, 2012 by hgpu

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Neural networks, nVidia, Tesla M2070

September 23, 2012 by hgpu

Adaptive Treelet Meshes for Efficient Streak-Surface Visualization on the GPU

Raphael Fuchs, Benjamin Schindler, Robert Carnecky, Jurgen Waser, Yun Jang, Ronald Peikert

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Rendering, Visualization

September 23, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

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Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

Computer Vision Application in Graphic Processors

Chouchene Marwa, Sayadi Fatma, Tourki Rached

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Tags: Computer science, Computer vision, GLSL, Image processing, nVidia, nVidia GeForce GT 310 M, OpenGL

September 23, 2012 by hgpu

A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 23, 2012 by hgpu

Computing of high breakdown regression estimators without sorting on graphics processing units

G. Beliakov, M. Johnstone, S. Nahavandi

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Tags: Computer science, CUDA, nVidia, Tesla C2050

September 22, 2012 by hgpu

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

John D. Davis, Eric S. Chung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Sparse matrix

September 22, 2012 by hgpu

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Ki-Hwan Kim, Q-Han Park

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Tags: Computer science, FDTD, Finite-difference time-domain, GPU cluster, nVidia, OpenCL, Tesla C2075

September 22, 2012 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

GPF: a framework for general packet classification on GPU co-processors

Implementation and Analysis of AES Encryption on GPU

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

GPU-based Offset Surface Computation using Point Samples

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Adaptive Treelet Meshes for Efficient Streak-Surface Visualization on the GPU

Task Performance with List-Mode Data

Computer Vision Application in Graphic Processors

A Quantitative Study of Irregular Programs on GPUs

Computing of high breakdown regression estimators without sorting on graphics processing units

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

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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