New work on information storage in Phase Change Memory (to appear in DCC 2018)

March 13, 2018

We’ll be at DCC 2018 to present some of our current work on information storage in next-generation semiconductor devices – come say hi! Here is a summary of our submission which you can read in full on our publications page:

The traditional paradigm of image compression focuses on designing source coders that process images into a string of bits. These bits are then taken by a channel coder that either transmits or stores them on a binary channel. In this work, we are addressing a novel setting for image compression in which the data is to be stored on an analog device: Phase Change Memory (PCM). We are interested in these devices because of their benefits over traditional binary storage devices, chiefly: power-consumption, speed, and endurance. Instead of hand-designing analog channel coders for storing images on these devices — often an arduous task — we propose an adaptive autoencoder framework that accomplishes joint source-channel coding. We find that our proposed joint source-channel coding scheme is able to achieve a rate-distortion performance that is superior to that achieved by JPEG combined with a binary channel coder. In principle, our method can adapt to the statistics of a broad range of data types and memory devices, potentially even adapting to changes in device properties over time.