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DjiNN and Tonic: DNN as a Service

DjiNN provides Deep Neural Networks (DNN) as a service and Tonic Suite is a suite of 7 applications that use the service. Tonic Suite includes image, speech, and natural language processing applications that use a common DNN backend as their machine learning component. DjiNN and Tonic is developed by Clarity Lab. At the University of Michigan. DjiNN is published at the International Symposium on Computer Architecture ( ISCA. 2015 Link to the publication. Or post to djinn-users.

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DjiNN and Tonic: DNN as a Service | djinn.clarity-lab.org Reviews

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DjiNN provides Deep Neural Networks (DNN) as a service and Tonic Suite is a suite of 7 applications that use the service. Tonic Suite includes image, speech, and natural language processing applications that use a common DNN backend as their machine learning component. DjiNN and Tonic is developed by Clarity Lab. At the University of Michigan. DjiNN is published at the International Symposium on Computer Architecture ( ISCA. 2015 Link to the publication. Or post to djinn-users.

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1 welcome

2 djinn

3 tonic suite

4 downloads

5 people

6 search for

7 menu

8 contributors

9 and jason mars

10 bibtex

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DjiNN and Tonic: DNN as a Service | djinn.clarity-lab.org Reviews

https://djinn.clarity-lab.org

DjiNN provides Deep Neural Networks (DNN) as a service and Tonic Suite is a suite of 7 applications that use the service. Tonic Suite includes image, speech, and natural language processing applications that use a common DNN backend as their machine learning component. DjiNN and Tonic is developed by Clarity Lab. At the University of Michigan. DjiNN is published at the International Symposium on Computer Architecture ( ISCA. 2015 Link to the publication. Or post to djinn-users.

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djinn.clarity-lab.org

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People | DjiNN and Tonic: DNN as a Service

http://djinn.clarity-lab.org/sirius.clarity-lab.org/people

DjiNN and Tonic Suite are developed at the CSE Department of the University of Michigan. You can find out more information about Lingjia Tang at: www.lingjia.org. You can find out more information about Jason Mars at: www.jasonmars.org. Johann Hauswald is a Ph.D. student in the CSE department at the University of Michigan. His research focuses on system design for emerging workloads, low-power mobile processing, and computer vision. Learn more about Michael Laurenzano at: www.gozano.com.

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People | DjiNN and Tonic: DNN as a Service

http://djinn.clarity-lab.org/people

DjiNN and Tonic Suite are developed at the CSE Department of the University of Michigan. You can find out more information about Lingjia Tang at: www.lingjia.org. You can find out more information about Jason Mars at: www.jasonmars.org. Johann Hauswald is a Ph.D. student in the CSE department at the University of Michigan. His research focuses on system design for emerging workloads, low-power mobile processing, and computer vision. Learn more about Michael Laurenzano at: www.gozano.com.

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Tonic Suite | DjiNN and Tonic: DNN as a Service

http://djinn.clarity-lab.org/tonic-suite

Tonic Suite consists of 7 applications that span 3 domains:. Image Processing: Image Classification (IMC), Facial Recognition (FACE), and Digit Recognition (DIG). Speech Recognition: Automatic Speech Recognition (ASR). Natural Language Processing: Part-Of-Speech (POS) tagging, Name Entity Recognition (NER), and Word Chunking (CHK). Page to get tagged versions of Tonic Suite or clone the latest from the repo: View On Github. Set up Tonic Suite. Tonic Suite uses Caffe. Make -j 4 $ make distribute. Navigate...

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DjiNN | DjiNN and Tonic: DNN as a Service

http://djinn.clarity-lab.org/djinn

DjiNN is a unified Deep Neural Network (DNN) web-service that allows DNN based applications to make requests to DjiNN. Page to get the latest version of DjiNN and the Tonic applications. For the DNN forward pass computation. Additionally, Tonic Suite depends on the following packages:. If you have built Tonic Suite, which means you should already have Caffe installed, skip this step. Page that is verified to build with Tonic Suite. Caffe can be built using different libraries as detailed here. The above ...

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Downloads | DjiNN and Tonic: DNN as a Service

http://djinn.clarity-lab.org/downloads

Download the current version: djinn-1.0.tar.gz. Caffe snapshot for djinn: caffe-1.0.tar.gz. For the latest development version of DjiNN and Tonic, visit the repo: View On GitHub. 2017 DjiNN and Tonic: DNN as a Service.

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Publications - ~/michael/laurenzano/

http://www.gozano.com/publications

Last updated July 9, 2016. Also see my google scholar page. Conference and Journal Publications. Concise Loads and Stores: The Case for an Asymmetric Compute-Memory Architecture for Approximation. Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md E. Haque, Michael A. Laurenzano. Scott Mahlke, Lingjia Tang, Jason Mars. International Symposium on Microarchitecture (MICRO). Taipei, Taiwan. October, 2016. CrystalBall: Statically Analyzing Runtime Behavior via Deep Sequence Learning (to appear).

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DjiNN and Tonic: DNN as a Service

DjiNN provides Deep Neural Networks (DNN) as a service and Tonic Suite is a suite of 7 applications that use the service. Tonic Suite includes image, speech, and natural language processing applications that use a common DNN backend as their machine learning component. DjiNN and Tonic is developed by Clarity Lab. At the University of Michigan. DjiNN is published at the International Symposium on Computer Architecture ( ISCA. 2015 Link to the publication. Or post to djinn-users.

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