JPL Technical Report Server

Accelerating autonomy in space using memory-centric architectures for deep neural networks

Accelerating autonomy in space using memory-centric architectures for deep neural networks

Yun, Kyongsik
URI: http://hdl.handle.net/2014/51522
Date: 2019-07-30
Publisher: Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019
Citation: 2019 IEEE Space Computing Conference (SCC), Pasadena, California, July 30-August 1, 2019

Show full item record

Items in TRS are protected by copyright, but are furnished with U.S. government purpose use rights.

Files in this item

Thumbnail
Name: CL#19-4362.pdf
Size: 11.97Mb
Format: PDF
View/Open

This item appears in the following Collection(s)

Search


Browse

My Account