high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Massive parallelization of serial inference algorithms for a complex generalized linear model

Marc A. Suchard, Shawn E. Simpson, Ivan Zorych, Patrick Ryan, David Madigan

View

Download (PDF)

Tags: Algorithms, CUDA, Databases, Mathematics, nVidia, Statistics, Tesla C2050

August 9, 2012 by hgpu

CPU-GPU Algorithms for Triangular Surface Mesh Simplification

Suzanne M. Shontz, Dragos M. Nistor

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce GT 550 M

August 9, 2012 by hgpu

OpenCL-based Algorithm for Heat Load Modelling of District Heating System

Erik Kral, Petr Capek, Lubomir Vasek

View

Download (PDF)

Tags: Algorithms, OpenCL, Physics

August 9, 2012 by hgpu

CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

W. Randolph Franklin, You Li, Tsz-Yam Lau, Peter Fox

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs

August 8, 2012 by hgpu

Large Scale Finite Element Analysis Using GPU Parallel Computing

Ashkan Akbariyeh

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia Quadro FX 5000, Sparse matrix, Thesis

August 8, 2012 by hgpu

Efficient Algorithms for Sorting on GPUs

Seema M. Munavalli

View

Download (PDF)

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

August 7, 2012 by hgpu

Efficient Monte Carlo sampler for detecting parametric objects in large scenes

Yannick Verdie, Florent Lafarge

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 4800

August 7, 2012 by hgpu

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Anton J. Wijs, Dragan Bosnacki

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probabilistic model checking, Sparse matrix

August 6, 2012 by hgpu

Clustering Based Search Algorithm For Motion Estimation

Ke Chen, Zhong Zhou, Wei Wu

View

Download (PDF)

Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

August 5, 2012 by hgpu

Parallel perfusion imaging processing using GPGPU

Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm Atkinson, Joanna Wardlaw

View

Download (PDF)

Tags: Algorithms, CUDA, Matrix decomposition, Medicine, nVidia, nVidia GeForce GTX 280

August 5, 2012 by hgpu

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Audrey Delevacq, Pierre Delisle, Michael Krajecki

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C2050

August 4, 2012 by hgpu

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

Akhtar Rasool, Nilay Khare

View

Download (PDF)

Tags: Algorithms, ATI, Computer science, OpenCL, Pattern recognition, String matching

August 4, 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

* * *

high performance computing on graphics processing units: hgpu.org

Massive parallelization of serial inference algorithms for a complex generalized linear model

CPU-GPU Algorithms for Triangular Surface Mesh Simplification

OpenCL-based Algorithm for Heat Load Modelling of District Heating System

CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

Large Scale Finite Element Analysis Using GPU Parallel Computing

Efficient Algorithms for Sorting on GPUs

Efficient Monte Carlo sampler for detecting parametric objects in large scenes

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Clustering Based Search Algorithm For Motion Estimation

Parallel perfusion imaging processing using GPGPU

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

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

Most viewed papers (last 30 days)