high performance computing on graphics processing units: hgpu.org

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Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

Marcin Bogdanski, Peter R. Lewis, Tobias Becker, Xin Yao

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Tags: Algorithms, Computer science, Finance, FPGA, Heterogeneous systems, Machine learning, Task scheduling

September 3, 2011 by hgpu

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Ping Li, Anshumali Shrivastava, Christian Konig

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Tags: Algorithms, Computer science, Machine learning

August 16, 2011 by hgpu

Articulated object tracking by rendering consistent appearance parts

Zachary Pezzementi, Sandrine Voros, Gregory D. Hager

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Tags: Computer science, Filtering, GLSL, Machine learning, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, OpenGL, Rendering

July 30, 2011 by hgpu

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

David Mayerich, Jaerock Kwon, Aaron Panchal, John Keyser, Yoonsuck Choe

Tags: Biology, Image processing, Machine learning, nVidia

June 24, 2011 by hgpu

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

N. Lopes, B. Ribeiro, R. Quintas

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Source codes

Tags: Computer science, CUDA, Machine learning, nVidia, Package

June 1, 2011 by hgpu

Performance comparison of GPU and FPGA architectures for the SVM training problem

Markos Papadonikolakis, Christos-Savvas Bouganis, George Constantinides

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Tags: Computer science, CUDA, FPGA, Machine learning, nVidia, nVidia GeForce 8500 GT, Performance

May 29, 2011 by hgpu

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti

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Tags: Computer vision, CUDA, Machine learning, Medicine, nVidia, nVidia GeForce 9400 M

May 20, 2011 by hgpu

OpenCL based machine learning labeling of biomedical datasets

Oscar Amoros, Sergio Escalera, Anna Puig

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Tags: GLSL, Image processing, Machine learning, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, OpenCL, OpenGL

May 12, 2011 by hgpu

Support Vector Machines on GPU with Sparse Matrix Format

Tsung-Kai Lin, Shao-Yi Chien

Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX 470

April 8, 2011 by hgpu

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

A El Zein, E McCreath, Alistair Rendell, Alex Smola

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 8800 GTX, Presentation, Sparse matrix

March 20, 2011 by hgpu

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark Van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse

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Tags: Computer science, CUDA, CULA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 295, Tesla C1060

March 20, 2011 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

Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Articulated object tracking by rendering consistent appearance parts

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

Performance comparison of GPU and FPGA architectures for the SVM training problem

Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

OpenCL based machine learning labeling of biomedical datasets

Support Vector Machines on GPU with Sparse Matrix Format

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

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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