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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

Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters

PERCH 2.0: Fast and High-Quality GPU-based Perception via Search for Object Pose Estimation

AnyHLS: High-Level Synthesis with Partial Evaluation

Futhark

OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids

Stanza: A Python NLP Library for Many Human Languages

Benchmark for sparse-dense matrix multiplications

Darknet on OpenCL: a multi-platform tool for object detection and classification

3DES on Nvidia GPUs

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Featured events

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020

International Joint Conference on Signals, Systems and Computers (CSSC’20), 2020