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

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Learnergy: a Python library for energy-based machine learning models

Learnergy: Energy-based Machine Learners

Towards automated kernel selection in machine learning systems: A SYCL case study

CLFuzz

Automated test generation for OpenCL kernels using fuzzing and constraint solving

High-Performance Graph Primitives on GPUs

Fast Gunrock Subgraph Matching (GSM) on GPUs

Inline Vector Compression for Computational Physics

AvA: Automatic virtualization of (general) accelerators

AvA: Accelerated Virtualization of Accelerators

GPGPU Verification of Radix Sort

Let’s sort this out: GPGPU Verification of Radix Sort

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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

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Learnergy: a Python library for energy-based machine learning models

Towards automated kernel selection in machine learning systems: A SYCL case study

CLFuzz

High-Performance Graph Primitives on GPUs

Inline Vector Compression for Computational Physics

AvA: Automatic virtualization of (general) accelerators

GPGPU Verification of Radix Sort

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Featured events

8th International Workshop on OpenCL, including SYCLCon, 2019

7th International Workshop on OpenCL, 2019

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

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