high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

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Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Phillip J. Kinsman

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Tags: Algorithms, Computed tomography, CT, CUDA, FPGA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Thesis, Tomography

January 3, 2012 by hgpu

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Xiangyun Liao, Zhiyong Yuan, Weixin Si, Zhaoliang Duan, Ruixue Mao, Jianhui Zhao

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Tags: ATI, ATI Radeon HD 5850, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9600 GT, OpenCL, Physics, Rendering, Tesla C1060

January 3, 2012 by hgpu

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro FX 5000, Rendering

January 3, 2012 by hgpu

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

Glenn A. Elliott, James H. Anderson

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Tags: Algorithms, Computer science, GPU cluster, Task scheduling

January 3, 2012 by hgpu

Real-time Computer Simulation of Three Dimensional Elastostatics using the Finite Point Method

Kirana Kumara P, Ashitava Ghosal

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Tags: nVidia, nVidia GeForce GTX 460, Physics, Physics-based simulation

January 3, 2012 by hgpu

GPU Computing for Parallel Local Search Metaheuristics

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Tesla M2050

January 3, 2012 by hgpu

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Kunihiko Ikeda, Chihiro Matsunuma, Hiroshi Masuda

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 3, 2012 by hgpu

Process Time Comparison between GPU and CPU

Abhranil Das

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

A GPU-based platform for cancer-treatment planning

Luis Cebamanos

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Tags: Algorithms, CUDA, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

January 2, 2012 by hgpu

Linear Solvers for Stable Fluids: GPU vs CPU

Goncalo Amador, Abel Gomes

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, Sparse linear iterative solvers

January 2, 2012 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

OpenCL Sparse Linear Solver for Circuit Simulation

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

An optimal k-exclusion real-time locking protocol motivated by multi-GPU systems

Real-time Computer Simulation of Three Dimensional Elastostatics using the Finite Point Method

GPU Computing for Parallel Local Search Metaheuristics

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Process Time Comparison between GPU and CPU

A GPU-based platform for cancer-treatment planning

Linear Solvers for Stable Fluids: GPU vs CPU

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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