high performance computing on graphics processing units: hgpu.org

Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Xuan Choo, Aaron Russell Voelker, Chris Eliasmith

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Tags: ATI, ATI Radeon HD 7970, Biology, Neuroscience, nVidia, nVidia GeForce GTX 280, OpenCL, Package, PyOpenCL, Python

January 9, 2014 by hgpu

Computing finite models using free Boolean generators

Zarko Mijajlovic, Aleksandar Pejovic

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Tags: Computer science, Logic in Computer Science, OpenCL, Package, PyOpenCL

October 29, 2013 by hgpu

OpenCL programming using Python syntax

Massimo Di Pierro

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Tags: Computer science, OpenCL, Package, PyOpenCL, Python

August 26, 2013 by hgpu

GPU Scripting and Code Generation with PyCUDA

Andreas Klockner, Nicolas Pinto, Bryan Catanzaro, Yunsup Lee, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, PyOpenCL, Python

April 23, 2013 by hgpu

GPGPU-BASED Cortical Modeling

Theodore Hilk

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Tags: Algorithms, ATI, ATI Radeon HD 6870, ATI Radeon HD 7970, Image processing, OpenCL, PyOpenCL, Python

January 11, 2013 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

Efficient Interleaved Batch Matrix Solvers for CUDA

ArborX: Performance-portable geometric search library

ArborX: A Performance Portable Search Library

FlowSeq: Generative Flow based Sequence-to-Sequence Toolkit

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Compositional Deep Learning in Futhark

MLPerf Benchmark Suite

Demystifying the MLPerf Benchmark Suite

stdgpu: Efficient STL-like Data Structures on the GPU

ikra-cpp: C++ Library for Object-oriented Programming with Structure of Arrays Layout

Memory-Efficient Object-Oriented Programming on GPUs

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Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

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International Conference on Frontiers of Neural Networks (ICFNN), 2019

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International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019

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high performance computing on graphics processing units: hgpu.org

APL on GPUs: A TAIL from the Past, Scribbled in Futhark

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory

GPU computing with OpenCL to model 2D elastic wave propagation: exploring memory usage

A Parallel Implementation of the Galerkin Method for Solving Partial Differential Equations on a Triangular Mesh

PyFAI: a Python library for high performance azimuthal integration on GPU

Loo.py: transformation-based code generation for GPUs and CPUs

Nengo: a Python tool for building large-scale functional brain models

Computing finite models using free Boolean generators

OpenCL programming using Python syntax

GPU Scripting and Code Generation with PyCUDA

GPGPU-BASED Cortical Modeling

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Recent source codes

Watershed analysis algorithm implementation in CUDA and OpenACC

OpenCL Performance Prediction using Architecture-Independent Features

PySPH: a Python-based SPH framework

Efficient Interleaved Batch Matrix Solvers for CUDA

ArborX: Performance-portable geometric search library

FlowSeq: Generative Flow based Sequence-to-Sequence Toolkit

Compositional Deep Learning in Futhark

MLPerf Benchmark Suite

stdgpu: Efficient STL-like Data Structures on the GPU

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7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019