[bibshow file=clarity]

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 [bibcite key=hauswald15isca].


If you’re interested in contributing to DjiNN, fork our repo or post to djinn-users.


DjiNN and Tonic is developed by Clarity Lab under the supervision of Lingjia Tang and Jason Mars. The members of Clarity Lab and its collaborators who have contributed are listed on the people page.