high performance computing on graphics processing units: hgpu.org

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hgpu.org » Programming » Algorithms

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600, OpenGL

May 19, 2012 by hgpu

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

Carlos Gonzalez, Sergio Sanchez, Abel Paz, Javier Resano, Daniel Mozos, Antonio Plaza

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Tags: Algorithms, CUDA, FPGA, Image processing, nVidia, Sensing, Tesla C1060

May 19, 2012 by hgpu

GPU accelerated Nonlinear Soft Tissue Deformation

Sathish Kottravel

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Tags: Algorithms, CUDA, FEM, Finite element method, Medicine, nVidia, nVidia GeForce GTX 290, Surgical simulation, Thesis

May 16, 2012 by hgpu

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

Sangpil Lee, Won W. Ro

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

May 16, 2012 by hgpu

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

Ping Li, Anshumali Shrivastava, Arnd Christian Konig

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Tags: Algorithms, Computer science, CUDA, Databases, Hashing, Information Retrieval, nVidia, Tesla C2050

May 16, 2012 by hgpu

The BiConjugate gradient method on GPUs

G. Ortega, E. M. Garzon, F. Vazquez, I. Garcia

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 15, 2012 by hgpu

A Monte Carlo Neutron Transport Code for Eigenvalue Calculations on a Dual-GPU System and CUDA Environment

Tianyu Liu, Aiping Ding, Wei Ji, X. George Xu, Christopher D. Carothers, Forrest B. Brown

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Tags: Algorithms, CUDA, Monte Carlo simulation, Nuclear physics, nVidia, Physics, Tesla M2090

May 15, 2012 by hgpu

Parallel Approach for Time Series Analysis with General Regression Neural Networks

J.C. Cuevas-Tello, R.A. Gonzalez-Grimaldo, O. Rodriguez-Gonzalez, H.G. Perez-Gonzalez, O. Vital-Ochoa

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Tags: Algorithms, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

May 14, 2012 by hgpu

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060

May 14, 2012 by hgpu

Scalable Distributed Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla C2050

May 12, 2012 by hgpu

Parallel Cryptanalysis

Ruben Falko Niederhagen

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 295, PTX, Security, Thesis

May 12, 2012 by hgpu

Multi-dimensional characterization of electrostatic surface potential computation on graphics processors

Mayank Daga, Wu-chun Feng

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Tags: Algorithms, Biology, Biomolecules, Computational Complexity, CUDA, Electrostatics, Molecular modeling, nVidia, Optimization, Tesla C1060, Tesla C2050

May 12, 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

Programming

Applying Object Oriented Design Patterns to CUDA based Pyramidal Image Blending – An Experience

Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing

GPU accelerated Nonlinear Soft Tissue Deformation

Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

The BiConjugate gradient method on GPUs

A Monte Carlo Neutron Transport Code for Eigenvalue Calculations on a Dual-GPU System and CUDA Environment

Parallel Approach for Time Series Analysis with General Regression Neural Networks

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Scalable Distributed Fast Multipole Methods

Parallel Cryptanalysis

Multi-dimensional characterization of electrostatic surface potential computation on graphics processors

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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