high performance computing on graphics processing units: hgpu.org

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In-Memory Data Analytics on Coupled CPU-GPU Architectures

Jiong He, Bingsheng He, Mian Lu, Shuhao Zhang

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Tags: Algorithms, Computer science, Databases, OpenCL

February 1, 2015 by hgpu

Productive and Efficient Computational Science Through Domain-specific Abstractions

Florian Rathgeber

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Tags: Computer science, CUDA, Differential equations, FEM, Finite element method, nVidia, OpenCL, Partial differential equations, PDEs, Thesis

February 1, 2015 by hgpu

OpenCL Implementation of LiDAR Data Processing

Alexander Bussiere

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GT 740 M, OpenCL, Robotics, Thesis

January 30, 2015 by hgpu

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Edoardo Paone

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Tags: Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia Quadro NVS 300, OpenCL, Thesis

January 30, 2015 by hgpu

Tangram: a High-level Language for Performance Portable Code Synthesis

Li-Wen Chang, Abdul Dakkak, Christopher I. Rodrigues, Wen-mei Hwu

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Tags: Computer science, High-level Languages, nVidia, OpenCL, Tesla C2050

January 26, 2015 by hgpu

Taming the complexities of the C11 and OpenCL memory models

John Wickerson, Mark Batty

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Source codes

Tags: Computer science, Heterogeneous systems, Memory model, OpenCL, Package

January 23, 2015 by hgpu

Can Portability Improve Performance? An Empirical Study of Parallel Graph Analytics

Ana Lucia Varbanescu, Merijn Verstraaten, Cees de Laat, Ate Penders, Alexandru Iosup, Henk Sips

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Tags: Algorithms, Computer science, Graph theory, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C2050

January 23, 2015 by hgpu

Reproducible and Accurate Matrix Multiplication for GPU Accelerators

Roman Iakymchuk, David Defour, Sylvain Collange, Stef Graillat

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Matrix multiplication, nVidia, OpenCL, Performance, Tesla K20

January 21, 2015 by hgpu

GPU concurrency: Weak behaviours and programming assumptions

Jade Alglave, Mark Batty, Alastair F. Donaldson, Ganesh Gopalakrishnan, Jeroen Ketema, Daniel Poetzl, Tyler Sorensen, John Wickerson

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Tags: ATI, ATI Radeon HD 6570, ATI Radeon HD 7970, Computer science, Memory, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 540 M, nVidia GeForce GTX 660, nVidia GeForce GTX 750, nVidia GeForce GTX Titan, OpenCL, Performance, PTX, Tesla C2075

January 21, 2015 by hgpu

Accelerating mahout on heterogeneous clusters using HadoopCL

Xiangyu Li

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Tags: Cluster computing, Computer science, GPU cluster, Heterogeneous systems, Java, Machine learning, MapReduce, nVidia, OpenCL, Tesla K20, Thesis

January 19, 2015 by hgpu

Hybrid Multicore Algorithms for Some Semi-Numerical Applications and Graphs

Dip Sankar Banerjee

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Tags: Algorithms, Cell processor, Computer science, CUDA, Distributed computing, List ranking, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Sorting, Thesis

January 19, 2015 by hgpu

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU

Michael Gowanlock, Henri Casanova

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Tags: Astrophysics, Computer science, Databases, nVidia, OpenCL, Tesla C2075

January 19, 2015 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

In-Memory Data Analytics on Coupled CPU-GPU Architectures

Productive and Efficient Computational Science Through Domain-specific Abstractions

OpenCL Implementation of LiDAR Data Processing

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Tangram: a High-level Language for Performance Portable Code Synthesis

Taming the complexities of the C11 and OpenCL memory models

Can Portability Improve Performance? An Empirical Study of Parallel Graph Analytics

Reproducible and Accurate Matrix Multiplication for GPU Accelerators

GPU concurrency: Weak behaviours and programming assumptions

Accelerating mahout on heterogeneous clusters using HadoopCL

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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