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LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Tesla S2050

July 29, 2013 by hgpu

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

I. Demir, R. Westermann

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Tags: Computer science, CUDA, Image generation, Matrix inversion, nVidia, nVidia GeForce GTX 580

July 29, 2013 by hgpu

Real-time 3D semi-local surface patch extraction using GPGPU

Sergio Orts-Escolano, Vicente Morell, Jose Garcia-Rodriguez, Miguel Cazorla, Robert B. Fisher

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 480

July 29, 2013 by hgpu

Point Based Approximate Color Bleeding With Cuda

Nicholas D. Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C2050, Thesis

July 29, 2013 by hgpu

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Octree Light Propagation Volumes

John David Olovsson, Michael Doggett

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Rendering

July 25, 2013 by hgpu

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Guangfu Shi

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Tags: Computer science, CUDA, KD-tree, nVidia, nVidia Quadro K 2000 M, Raytracing, Rendering, Thesis

July 25, 2013 by hgpu

Modeling of Heterogeneous Architecture with GPU to Exascale System

Daniel A. G. de Oliveira, Pedro Velho, Edson L. Padoin, Philippe O. A. Navaux

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Tags: Computer science, nVidia, nVidia GeForce GTX 480

July 25, 2013 by hgpu

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

Charles Bouillaguet, Chen-Mou Cheng, Tung Chou, Ruben Niederhagen, Bo-Yin Yang

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Tags: Algorithms, Computer science, FPGA, Security

July 25, 2013 by hgpu

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

L.Yu. Barash, L.N. Shchur

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Source codes

Tags: Algorithms, Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, Package, Pseudo-random number generators, Tesla C2050

July 25, 2013 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

LU Factorization with Partial Pivoting for a Multicore System with Accelerators

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

Real-time 3D semi-local surface patch extraction using GPGPU

Point Based Approximate Color Bleeding With Cuda

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

A unified sparse matrix data format for modern processors with wide SIMD units

Octree Light Propagation Volumes

Efficient Rendering of Scenes with Dynamic Lighting Using a Photons Queue and Incremental Update Algorithm

Modeling of Heterogeneous Architecture with GPU to Exascale System

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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