high performance computing on graphics processing units: hgpu.org

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Volume-preserving FFD for programmable graphics hardware

Stefanie Hahmann, Georges-Pierre Bonneau, Sebastien Barbier, Gershon Elber, Hans Hagen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, GLSL, Nonlinear optimization, nVidia, nVidia GeForce 8800 GTS, OpenGL

March 23, 2012 by hgpu

Accelerating large-scale simulations of cortical neuronal network development

Fumitaka Kawasaki, Michael Stiber

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Tags: CNN, Computer science, CUDA, Neural networks, Neuroscience, nVidia, Tesla C1060

March 23, 2012 by hgpu

CUDA implementation of Wagener’s 2D convex hull PRAM algorithm

Colm O. Dunlaing

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Tags: Computer science, CUDA, nVidia

March 23, 2012 by hgpu

Advanced Programming Platform for efficient use of Data Parallel Hardware

Luis Cabellos

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Tags: Computer science, Distributed computing, nVidia, OpenCL, Tesla C1060

March 23, 2012 by hgpu

Impact of asynchronism on GPU accelerated parallel iterative computations

Sylvain Contassot-Vivier, Thomas Jost, Stephane Vialle

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Partial differential equations, PDEs, Performance

March 22, 2012 by hgpu

GPU-based parallel collision detection for fast motion planning

Jia Pan, Dinesh Manocha

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Tags: Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

March 22, 2012 by hgpu

Multi-target vectorization with MTPS C++ generic library

Wilfried Kirschenmann, Laurent Plagne, Stephane Vialle

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia Quadro FX 5800

March 22, 2012 by hgpu

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Cagdas Bilen, Yao Wang, Ivan Selesnick

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Tags: Algorithms, Compression, Computer science, Data Structures and Algorithms, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 4800, Sensing

March 22, 2012 by hgpu

Accelerating Sparse Matrix Vector Multiplication on Many-Core GPUs

Weizhi Xu, Zhiyong Liu, Dongrui Fan, Shuai Jiao, Xiaochun Ye, Fenglong Song, Chenggang Yan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Performance, Sparse matrix

March 21, 2012 by hgpu

Parallel Two-Stage Least Squares algorithms for Simultaneous Equations Models on GPU

Carla Ramiro Sanchez, Jose J. Lopez-Espin, Domingo Gimenez, Antonio M. Vidal

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2070

March 21, 2012 by hgpu

Generating optimal CUDA sparse matrix-vector product implementations for evolving GPU hardware

Ahmed H. El Zein, Alistair P. Rendell

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 295, Performance, Sparse matrix, Tesla S2050

March 19, 2012 by hgpu

Spatial Join with R-Tree on Graphics Processing Units

Tongjai Yampaka, Prabhas Chongstitvatana

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 440

March 19, 2012 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

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high performance computing on graphics processing units: hgpu.org

Volume-preserving FFD for programmable graphics hardware

Accelerating large-scale simulations of cortical neuronal network development

CUDA implementation of Wagener’s 2D convex hull PRAM algorithm

Advanced Programming Platform for efficient use of Data Parallel Hardware

Impact of asynchronism on GPU accelerated parallel iterative computations

GPU-based parallel collision detection for fast motion planning

Multi-target vectorization with MTPS C++ generic library

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Accelerating Sparse Matrix Vector Multiplication on Many-Core GPUs

Parallel Two-Stage Least Squares algorithms for Simultaneous Equations Models on GPU

Generating optimal CUDA sparse matrix-vector product implementations for evolving GPU hardware

Spatial Join with R-Tree on Graphics Processing Units

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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