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Large-scale transient stability simulation on graphics processing units

Vahid Jalili-Marandi, Venkata Dinavahi

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 280, Power Systems Simulation

July 14, 2011 by hgpu

Data-Parallel Octrees for Surface Reconstruction

Kun Zhou, Minmin Gong, Xin Huang, Baining Guo

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Tags: Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce 8800 Ultra, Rendering

July 14, 2011 by hgpu

A novel stereo camera based collision warning system for automotive applications

A. Leu, D. Aiteanu, A. Graser

Tags: Collision detection, Computer science, Computer vision, CUDA, nVidia, Stereo vision, Tesla C1060

July 14, 2011 by hgpu

Towards a robust, real-time face processing system using CUDA-enabled GPUs

Bharatkumar Sharma, Rahul Thota, Naga Vydyanathan, Amit Kale

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Tags: Computer science, CUDA, Image recognition, nVidia, nVidia GeForce GTX 285, Real-time graphics, Rendering, Security

July 12, 2011 by hgpu

A Program Behavior Study of Block Cryptography Algorithms on GPGPU

Gu Liu, Hong An, Wenting Han, Guang Xu, Ping Yao, Mu Xu, Xiurui Hao, Yaobin Wang

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

July 12, 2011 by hgpu

Improved Real-Time Stereo on Commodity Graphics Hardware

Ruigang Yang, Marc Pollefeys, Sifang Li

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Tags: ATI, ATI Radeon 9800, Computer science, Computer vision, OpenGL, Real-time graphics, Stereo vision

July 12, 2011 by hgpu

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino

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Tags: Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 280, Visualization

July 12, 2011 by hgpu

MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

Interactive free form deformer for point-based objects by GPU acceleration

A. Beddiaf, M.C. Babahenini, W. Puech

Tags: Algorithms, Computer science, Rendering, Visualization

July 11, 2011 by hgpu

Pseudo-Random Number Generation on GP-GPU

Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill

Tags: Algorithms, Computer science, Pseudo-random number generators

July 11, 2011 by hgpu

The GeForce 6800

J. Montrym, H. Moreton

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce 6800, Rendering

July 11, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Large-scale transient stability simulation on graphics processing units

Data-Parallel Octrees for Surface Reconstruction

A novel stereo camera based collision warning system for automotive applications

Towards a robust, real-time face processing system using CUDA-enabled GPUs

A Program Behavior Study of Block Cryptography Algorithms on GPGPU

Improved Real-Time Stereo on Commodity Graphics Hardware

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general-purpose computing on graphics processing units

MATLAB Parallelization through Scalarization

Interactive free form deformer for point-based objects by GPU acceleration

Pseudo-Random Number Generation on GP-GPU

The GeForce 6800

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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