high performance computing on graphics processing units: hgpu.org

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The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Oliver Demetz, David Hafner, Joachim Weickert

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Tags: Computer science, Computer vision, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460

September 29, 2013 by hgpu

Performance analysis of multi-core CPUs and GPU computing on SF-FDTD scheme for third order nonlinear materials and periodic media

Jorge Frances Monllor, Sergio Bleda Perez, Jani Tervo, Cristian Neipp Lopez, Andres Marquez Ruiz, Inmaculada Pascual Villalobos, Augusto Belendez Vazquez

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Tags: CUDA, Electrodynamics, FDTD, FEM, Finite element method, Finite-difference time-domain, nVidia, nVidia GeForce GTX 460, Optics

September 20, 2013 by hgpu

A Novel CPU/GPU Simulation Environment for Large-Scale Biologically-Realistic Neural Modeling

Roger V. Hoang, Devyani Tanna, Laurence C. Jayet Bray, Sergiu M. Dascalu, Frederick C. Harris Jr.

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Source codes

Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package, Tesla C2050

September 14, 2013 by hgpu

Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing

Lu Zheng, Ole J. Mengshoel

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Tags: Artificial intelligence, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 460

September 13, 2013 by hgpu

Hardware-Oblivious Parallelism for In-Memory Column-Stores

Max Heimel, Michael Saecker, Holger Pirk, Stefan Manegold, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL

September 11, 2013 by hgpu

Skew Handling in Aggregate Streaming Queries on GPUs

G. Koutsoumpakis, I. Koutsoumpakis, A. Gounaris

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 550 Ti, Performance

September 6, 2013 by hgpu

SystemC simulation on GP-GPUs: CUDA vs. OpenCL

Nicola Bombier, Sara Vinco, Valeria Bertacco, Debapriya Chatterjee

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 570, OpenCL, Performance

August 26, 2013 by hgpu

Synthesis of Custom Networks of Heterogeneous Processing Elements for Complex Physical System Emulation

Chen Huang, Bailey Miller, Frank Vahid, Tony Givargis

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Tags: Computer science, CUDA, Differential equations, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, ODEs, Ordinary differential equations

August 23, 2013 by hgpu

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

Muhammed Al-Mulhem, Abdulah AlDhamin, Raed Al-Shaikh

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Tags: Algorithms, Benchmarking, Bioinformatics, Computer science, CUDA, Linear Algebra, Matrix multiplication, MPI, nVidia, nVidia GeForce GTX 460

July 19, 2013 by hgpu

Coupling Lattice Boltzmann Gas and Level Set Method for Simulating Free Surface Flow in GPU/CUDA Environment

Tomir Kryza, Witold Dzwinel

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 460

July 16, 2013 by hgpu

Discontinuous Galerkin Methods on Graphics Processing Units for Nonlinear Hyperbolic Conservation Laws

Martin Fuhry, Lilia Krivodonova

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580

July 9, 2013 by hgpu

GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method

C. Nita, L.M. Itu, C. Suciu

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 650, nVidia GeForce GTX 680

July 2, 2013 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Performance analysis of multi-core CPUs and GPU computing on SF-FDTD scheme for third order nonlinear materials and periodic media

A Novel CPU/GPU Simulation Environment for Large-Scale Biologically-Realistic Neural Modeling

Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing

Hardware-Oblivious Parallelism for In-Memory Column-Stores

Skew Handling in Aggregate Streaming Queries on GPUs

SystemC simulation on GP-GPUs: CUDA vs. OpenCL

Synthesis of Custom Networks of Heterogeneous Processing Elements for Complex Physical System Emulation

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

Coupling Lattice Boltzmann Gas and Level Set Method for Simulating Free Surface Flow in GPU/CUDA Environment

Discontinuous Galerkin Methods on Graphics Processing Units for Nonlinear Hyperbolic Conservation Laws

GPU Accelerated Fluid Flow Computations Using the Latice Boltzmann Method

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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