high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Sorting, Thesis

November 10, 2011 by hgpu

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Matthias Christen, Olaf Schenk, Helmar Burkhart

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, nVidia, Optimization, Package, Tesla C2050

November 8, 2011 by hgpu

Fast TV-L1 Optical Flow for Interactivity

Emmanuel d'Angelo, Johan Paratte, Gilles Puy, Pierre Vandergheynst

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 320 M, OpenCL, Optical flow, Optimization, Package

November 7, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

View

Download (PDF)

Source codes

Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

Karl-Ingo Friese, Philipp Blanke, Franz-Erich Wolter

View

Download (PDF)

Source codes

Tags: Computer science, Medicine, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M, OpenGL, Package, Virtual reality, Visualization

November 2, 2011 by hgpu

A Real-Time Computer Vision Library for Heterogeneous Processing Environments

Tony J. Liu

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, DSP, FPGA, Heterogeneous systems, Package, Thesis

November 1, 2011 by hgpu

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski, Nico Trost, Jan-Philipp Weiss

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Package, Partial differential equations, PDEs, Tesla S1070

October 31, 2011 by hgpu

High-performance software rasterization on GPUs

Samuli Laine, Tero Karras

View

Download (PDF)

Source codes

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Rasterization

October 31, 2011 by hgpu

CPU and GPU Co-processing for Sound

Aleksander Gjermundsen

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Filtering, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Signal processing, Tesla C2050, Thesis

October 30, 2011 by hgpu

Parallel Random Numbers: As Easy as 1, 2, 3

John K. Salmon, Mark A. Moraes, Ron O. Dror, and David E. Shaw

View

Download (PDF)

Source codes

Tags: AES, ATI, ATI Radeon HD 6970, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Performance, Pseudo-random number generators, Security

October 28, 2011 by hgpu

Programming Massively Parallel Processors with CUDA (audio course)

David B. Kirk, Wen-Mei W. Hwu

View

Download (PDF)

Source codes

Tags: Book, Computer science, CUDA, nVidia, OpenCL, Package, Programming techniques, Review, Tutorial

October 28, 2011 by hgpu

Efficient Implementation and Evaluation of Methods for the Estimation of Motion in Image Sequences

Robert Hegner

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260, Optical flow, Package, Thesis

October 27, 2011 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Packages

A CPU-GPU Hybrid Runtime for the Aeminium Language

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Fast TV-L1 Optical Flow for Interactivity

GPU-accelerated Convex Multi-phase Image Segmentation

YaDiV-an open platform for 3D visualization and 3D segmentation of medical data

A Real-Time Computer Vision Library for Heterogeneous Processing Environments

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

High-performance software rasterization on GPUs

CPU and GPU Co-processing for Sound

Parallel Random Numbers: As Easy as 1, 2, 3

Programming Massively Parallel Processors with CUDA (audio course)

Efficient Implementation and Evaluation of Methods for the Estimation of Motion in Image Sequences

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Most viewed papers (last 30 days)