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Parallelization Methods of the Template Matching Method on Graphics Accelerators

Gabor Kertesz, Sandor Szenasi, Zoltan Vamossy

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, Tesla K40

December 6, 2015 by hgpu

The Genetic Convolutional Neural Network Model Based on Random Sample

You Zhining, Pu Yunming

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Tags: Algorithms, CNN, Computer science, CUDA, Deep learning, Genetic algorithm, Neural networks, nVidia, nVidia GeForce GTX 770

December 4, 2015 by hgpu

Optimizing CUDA Shared Memory Usage

Shuang Gao, Gregory D. Peterson

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Tags: Computer science, CUDA, nVidia, Optimization, Poster

December 4, 2015 by hgpu

An Efficient Parallel Algorithm for Graph Isomorphism on GPU using CUDA

Min-Young Son, Young-Hak Kim, Byoung-Woo Oh

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 670

December 4, 2015 by hgpu

Programming in CUDA for Kepler and Maxwell Architecture

Esteban G. W. Clua, Marcelo Zamith

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Tags: Computer science, CUDA, nVidia, Performance

December 1, 2015 by hgpu

Auxiliary Image Regularization for Deep CNNs with Noisy Labels

Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell

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Tags: CNN, Computer science, Computer vision, CUDA, Deep learning, Neural networks, nVidia

December 1, 2015 by hgpu

A General Framework for Constrained Bayesian Optimization using Information-based Search

Jose Miguel Hernandez-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani

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Tags: Bayesian, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 580, Package, Python

December 1, 2015 by hgpu

Efficient Static and Dynamic Memory Management Techniques for Multi-GPU Systems

Max Grossman, Mauricio Araya-Polo

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K10

December 1, 2015 by hgpu

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Junghyun Kim, Thanh Tuan Dao, Jaehoon Jung, Jinyoung Joo, Jaejin Lee

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Tags: ATI, ATI Radeon HD 7970, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL

December 1, 2015 by hgpu

Neural GPUs Learn Algorithms

Lukasz Kaiser, Ilya Sutskever

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla K40

December 1, 2015 by hgpu

Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580

November 29, 2015 by hgpu

Design, Implementation and Performance Evaluation of a Stochastic Gradient Descent Algorithm on CUDA

Emanuele De Falco

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GT 540 M

November 29, 2015 by hgpu

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

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallelization Methods of the Template Matching Method on Graphics Accelerators

The Genetic Convolutional Neural Network Model Based on Random Sample

Optimizing CUDA Shared Memory Usage

An Efficient Parallel Algorithm for Graph Isomorphism on GPU using CUDA

Programming in CUDA for Kepler and Maxwell Architecture

Auxiliary Image Regularization for Deep CNNs with Noisy Labels

A General Framework for Constrained Bayesian Optimization using Information-based Search

Efficient Static and Dynamic Memory Management Techniques for Multi-GPU Systems

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Neural GPUs Learn Algorithms

Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution

Design, Implementation and Performance Evaluation of a Stochastic Gradient Descent Algorithm on CUDA

Recent source codes

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?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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