Research Reviewed

Session 20: Compute-in-Memory Meets 3DIC

1:30 PM–3:00 PM Jun 26, 2018 (America - Los Angeles)

Room 3016

From the first paper in the session you will learn how to use SRAM arrays to create binary neural networks; the second paper shows how floating-gate memory arrays can be used to accelerate analog-style vector-matrix multiplication for machine learning; the third paper focuses on how to reduce the impact of cross-coupling in TSV-based 3DICs using coding techniques; finally, the fourth paper in the session shows how turning a 3D stack on the side to create a "loaf-of-bread" structure (unlike the more common "pancake" structure) can be used in rad-hard space applications.