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An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Neri Mickael, Denis Mestivier

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, Optimization, Stochastic simulation, Tesla K10, Tesla K20, Tesla M2075, Tesla M2090

April 4, 2014 by hgpu

Petascale computations for Large-scale Atomic and Molecular collisions

Brendan M McLaughlin, Connor P Ballance

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Tags: BLAS, Computational Physics, Computer science, CUDA, Fortran, Molecular simulation, MPI, nVidia, Tesla K20

April 4, 2014 by hgpu

A New High Performance GPU-based Approach to Prime Numbers Generation

A. Nezarat, M.M. Raja, G. Dastghaybifard

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Tags: Algorithms, CUDA, nVidia, nVidia 9600 GT, nVidia GeForce GTX 570, Security

March 30, 2014 by hgpu

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

G. Wang, Y. Xiong, J. Yun, J.R. Cavallar

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Tags: Computer vision, Image processing, OpenCL

March 23, 2014 by hgpu

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

E.M. Mahé, J.-M. Chauvet

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Tags: AMD Radeon R9 290, ATI, ATI Radeon HD 6870, nVidia, nVidia GeForce GTX Titan, OpenCL, Security

March 23, 2014 by hgpu

Optimising OpenCL kernels for the ARM Mali-T600 GPUs

Johan Gronqvist, Anton Lokhmotov

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Tags: Algorithms, ARM, Computer science, Matrix multiplication, OpenCL

March 18, 2014 by hgpu

A Unified Approach for Registration and Depth in Depth from Defocus

Rami Ben-Ari

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Stereo vision, Thesis

March 18, 2014 by hgpu

Programming Frameworks for Distributed Smartphone Computing

Roelof Kemp

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Tegra, Thesis

March 18, 2014 by hgpu

Dynamic Load Balancing using Graphics Processors

R. Mohan, N. P. Gopalan

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Tags: Computer science, CUDA, nVidia, Performance, Task scheduling

March 18, 2014 by hgpu

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

Liliana Ibeth Barbosa-Santillan, Inmaculada Alvarez-de-Mon y-Rego

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 600, Tesla C2075

March 18, 2014 by hgpu

An optimized algorithm for discrete element system analysis using CUDA

Zhaosong Ma, Chun Feng, Tianping Liu, Shihai Li

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

March 17, 2014 by hgpu

Shape Transformation of Multidimensional Density Functions using Distribution Interpolation of the Radon Transforms

Marton Jozsef Toth, Balazs Csebfalvi

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Tags: Algorithms, Computer science, CUDA, nVidia, Radon transform, Tesla M2070

March 17, 2014 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

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Petascale computations for Large-scale Atomic and Molecular collisions

A New High Performance GPU-based Approach to Prime Numbers Generation

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

Optimising OpenCL kernels for the ARM Mali-T600 GPUs

A Unified Approach for Registration and Depth in Depth from Defocus

Programming Frameworks for Distributed Smartphone Computing

Dynamic Load Balancing using Graphics Processors

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

An optimized algorithm for discrete element system analysis using CUDA

Shape Transformation of Multidimensional Density Functions using Distribution Interpolation of the Radon Transforms

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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