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Seeded ND medical image segmentation by cellular automaton on GPU

Claude Kauffmann, Nicolas Piche

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Tags: ATI, ATI Radeon HD 3970, ATI Radeon HD 4870, ATI Radeon X1950, Cellular automata, Cg, Image processing, Medicine, nVidia, nVidia GeForce 7950 GT, nVidia GeForce 9800 GT, nVidia GeForce GTX 260, OpenGL

December 13, 2010 by hgpu

Scaling Deep Learning on GPU and Knights Landing clusters

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Gpufit: An open-source toolkit for GPU-accelerated curve fitting

GARDENIA: Graph Analytics Repository for Designing Next-Generation Accelerators

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

GPU-benchmarks

Using Graph Properties to Speed-up GPU-based Graph Traversal: A Model-driven Approach

bit-reversal-methods

Practically efficient methods for performing bit-reversed permutation in C++11 on the x86-64 architecture

bifrost: A stream processing framework for high-throughput applications

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

NEMATUS: Open-Source Neural Machine Translation in Theano

Deep Architectures for Neural Machine Translation

ParTeCL: parallel testing using OpenCL

ParTeCL: parallel testing using OpenCL

DenseNet: Densely Connected Convolutional Networks

Memory-Efficient Implementation of DenseNets

SVMbenchmark: CUDA and OpenCL SVM training benchmark

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

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2018

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International Conference on Intelligent Autonomous Systems (ICIAS), 2018

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Amsterdam, Netherlands

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