high performance computing on graphics processing units: hgpu.org

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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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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

FuzzyGPU: a fuzzy arithmetic library for GPU

David Defour, Manuel Marin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package

September 13, 2013 by hgpu

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Kyle E Niemeyer, Chih-Jen Sung

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Tags: Algorithms, Computational Physics, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, OpenACC, Package, Review, Tesla C2075

September 13, 2013 by hgpu

The discrete dipole approximation code DDscat.C++: features, limitations and plans

V. Ya. Choliy

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Tags: Astrophysics, CUDA, Fortran, nVidia, nVidia GeForce GTX 260, Package

September 4, 2013 by hgpu

Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Roman V. Baluev

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 210, Package

September 4, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 by hgpu

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

R. Bonfiglioli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Path problems, Thesis

August 31, 2013 by hgpu

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

August 31, 2013 by hgpu

The development and expansion of HOOMD-blue through six years of GPU proliferation

Joshua A. Anderson, Sharon C. Glotzer

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Package, Physics, Python, Software Engineering, Tesla S1070

August 27, 2013 by hgpu

Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

Martin Peniak, Davide Marocco, Jun Taniy, Yuichi Yamashitay, Kerstin Fischerz, Angelo Cangelosi

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Tags: Computer science, CUDA, Neural networks, nVidia, Package

August 27, 2013 by hgpu

GPU-based simulation of the long-range Potts model via parallel tempering

Attila Boer

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Package, Statistical Mechanics, Tesla C2050

August 27, 2013 by hgpu

Aquila 2.0: Software Architecture for Cognitive Robotics

Martin Peniak, Anthony Morse, Angelo Cangelosi

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package

August 26, 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

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high performance computing on graphics processing units: hgpu.org

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

FuzzyGPU: a fuzzy arithmetic library for GPU

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

The discrete dipole approximation code DDscat.C++: features, limitations and plans

Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

The development and expansion of HOOMD-blue through six years of GPU proliferation

Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

GPU-based simulation of the long-range Potts model via parallel tempering

Aquila 2.0: Software Architecture for Cognitive Robotics

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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