high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 2012 by hgpu

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Yifeng Chen, Xiang Cui, Hong Mei

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Performance, Programming techniques, Pthreads, Tesla C1060

January 5, 2012 by hgpu

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Pablo Quesada-Barriuso, Julian Lamas-Rodriguez, Dora B. Heras, Montserrat Boo, Francisco Arguello

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 295, OpenMP

January 5, 2012 by hgpu

Implementation of a Fast Image Coding and Retrieval System Using a GPU

Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan N. Ramamurthy, Andreas Spanias

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

January 5, 2012 by hgpu

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

Jing-yu Cui, Guillem Pratx, Sven Prevrhal, Craig S. Levin

View

Download (PDF)

Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, PET, Tomography

January 5, 2012 by hgpu

BFROST: Binary Features from Robust Orientation Segment Tests accelerated on the GPU

Jaco Cronje

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Pattern recognition, SIFT

January 5, 2012 by hgpu

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Vincent de Ladurantaye, Jean Lavoie, Jocelyn Bergeron, Maxime Parenteau, Huizhong Lu, Ramin Pichevar, Jean Rouat

View

Download (PDF)

Tags: Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce GTX 285, Pattern recognition

January 5, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

Pyramidal Image Blending Using CUDA Framework

Pritam Prakash Shete, Venkat P. P. K., S. K. Bose

View

Download (PDF)

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

January 5, 2012 by hgpu

Abundance Estimation Algorithms using NVIDIA CUDA Technology

David Gonzalez, Christian Sanchez, Ricardo Veguilla, Nayda G. Santiago, Samuel Rosario-Torres, Miguel Velez-Reyes

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

January 5, 2012 by hgpu

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Jonatan Ward, Sergey Andreev, Francisco Heredia, Bogdan Lazar, Zlatka Manevska

View

Download (PDF)

Tags: Algorithms, CNN, Computer science, CUDA, GPU cluster, Neural networks, nVidia, nVidia GeForce GTX 570, Performance

January 4, 2012 by hgpu

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Zhong Chen, Jack Chua

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2090

January 4, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

A GPU Implementation of Inclusion-based Points-to Analysis

PARRAY: A Unifying Array Representation for Heterogeneous Parallelism

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Implementation of a Fast Image Coding and Retrieval System Using a GPU

Fully 3D list-mode time-of-flight PET image reconstruction on GPUs using CUDA

BFROST: Binary Features from Robust Orientation Segment Tests accelerated on the GPU

A Parallel Supercomputer Implementation of a Biological Inspired Neural Network and its use for Pattern Recognition

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Pyramidal Image Blending Using CUDA Framework

Abundance Estimation Algorithms using NVIDIA CUDA Technology

Efficient mapping of the training of Convolutional Neural Networks to a CUDA-based cluster

Implementing Parallel SMO to Train SVM on CUDA-Enabled Systems

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)