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Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Benoit Lange, Pierre Fortin

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Tags: Algorithms, Astrophysics, CUDA, N-body simulation, nVidia, Tesla C2070, Tesla K20

February 27, 2014 by hgpu

Real-Time GPU Implementation of Transverse Oscillation Vector Velocity Flow Imaging

David Pierson Bradway, Michael Johannes Pihl, Andreas Krebs, Borislav Gueorguiev Tomov, Carsten Straso Kjaer, Svetoslav Ivanov Nikolov, Jorgen Arendt Jensen

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Tags: Algorithms, ATI, ATI Radeon HD 7850, Image processing, OpenCL, Ultrasound, Visualization

February 26, 2014 by hgpu

Comparative evaluation of platforms for parallel Ant Colony Optimization

Gines D. Guerrero, Jose M. Cecilia, Antonio Llanes, Jose M. Garcia, Martyn Amos, Manuel Ujaldon

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Tags: Algorithms, APU, ATI FirePro V8800, ATI Radeon HD 6310, ATI Radeon HD 6520, ATI Radeon HD 6650 M, Computer science, OpenCL, Optimization, Tesla C2050

February 26, 2014 by hgpu

Full-Speed Deterministic Bit-Accurate Parallel Floating-Point Summation on Multi- and Many-Core Architectures

Sylvain Collange, David Defour, Stef Graillat, Roman Iakymchuk

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Extended precision, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

February 26, 2014 by hgpu

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

Miguel Branco Palhas

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, Rendering, Tesla K20, Tesla M2090, Thesis

February 25, 2014 by hgpu

Fast Feature Selection in a GPU Cluster Using the Delta Test

Alberto Guillen, M. Isabel Garcia Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Hector Pomares, Ignacio Rojas

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Nearest neighbour, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450

February 25, 2014 by hgpu

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

Hanyuan Zheng, Anping Song, Zhixiang Liu, Lei Xu, Wu Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C1060

February 25, 2014 by hgpu

Real Time Face Detection on GPU Using OpenCL

Narmada Naik, Rathna G.N.

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Tags: Algorithms, ATI, ATI Radeon HD 7670 M, Computer science, Computer vision, OpenCL

February 23, 2014 by hgpu

Accelerating Content-Based Image Retrieval via GPU-adaptive Index Structure

Zhu Lei

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Tags: Algorithms, Computer science, Computer vision, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 460

February 23, 2014 by hgpu

Multi-Elimination ILU Preconditioners on GPUs

Dimitar Lukarski, Hartwig Anzt, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40

February 23, 2014 by hgpu

Parallel Spectral Graph Partitioning on CUDA

Orhan Firat, Alptekin Temizel

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Tags: Algorithms, CUDA, Image processing, Machine learning, nVidia, Tesla C2070

February 23, 2014 by hgpu

X-ray CT on the GPU

Ravikiran Tadepalli

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Tags: Algorithms, CUDA, Medicine, nVidia, Tesla C1060, Thesis, Tomography

February 19, 2014 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Real-Time GPU Implementation of Transverse Oscillation Vector Velocity Flow Imaging

Comparative evaluation of platforms for parallel Ant Colony Optimization

Full-Speed Deterministic Bit-Accurate Parallel Floating-Point Summation on Multi- and Many-Core Architectures

An Evaluation of the GAMA/StarPU Frameworks for Heterogeneous Platforms: the Progressive Photon Mapping Algorithm

Fast Feature Selection in a GPU Cluster Using the Delta Test

A GaBP-GPU Algorithm of Solving Large-Scale Sparse Linear Systems

Real Time Face Detection on GPU Using OpenCL

Accelerating Content-Based Image Retrieval via GPU-adaptive Index Structure

Multi-Elimination ILU Preconditioners on GPUs

Parallel Spectral Graph Partitioning on CUDA

X-ray CT on the GPU

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)