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Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

Zachary DeVito, Michael Mara, Michael Zollhofer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Niessner

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Tags: Comnputer science, Computer vision, CUDA, Image generation, Image processing, nVidia, Programming Languages

April 26, 2016 by hgpu

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high performance computing on graphics processing units: hgpu.org

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

Recent source codes

ArborX: Performance-portable geometric search library

FlowSeq: Generative Flow based Sequence-to-Sequence Toolkit

Compositional Deep Learning in Futhark

MLPerf Benchmark Suite

stdgpu: Efficient STL-like Data Structures on the GPU

ikra-cpp: C++ Library for Object-oriented Programming with Structure of Arrays Layout

Mass_Flow_Estimation: Semi-supervised implementation of a DNN for mass prediction from sparsely labeled images

KNN: k-Nearest Neighbours algorithm

SODECL: library of ordinary differential equation (ODE) and stochastic differential equation (SDE) solvers in OpenCL

sisph: Simple Iterative Incompressible Smoothed Particle Hydrodynamics

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Featured events

7th International Workshop on OpenCL, 2019

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

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

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

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019