Скачать или смотреть CASS Talks 2021 - Subhasish Mitra, Stanford University, USA - February 5, 2021

CASS Talks 2021 - February 5, 2021
21st-Century NanoSystems for Abundant-Data Computing: The N3XT 1,000X
Subhasish Mitra
Stanford University, USA

Abstract:

The world’s needs for analyzing massive amounts of data is growing dramatically. The computation demands of these abundant-data applications, such as AI machine learning, far exceed the capabilities of today’s computing systems. For example, a Dream AI Chip would co-locate all memory on a single chip together with computing elements, quickly accessible at low energy. Such Dream Chips aren’t realizable today. Computing systems instead use large off-chip memory and spend enormous time and energy shuttling data back-and-forth. This memory wall gets worse with growing problem sizes, especially as conventional transistor miniaturization gets increasingly difficult. This talk will present the N3XT (Nano-Engineered Computing Systems Technology) approach to build transformative NanoSystems by exploiting unique properties of underlying nanotechnologies. N3XT creates new chip architectures for computation immersed in memory through ultra-dense (monolithic) 3D integration of new logic devices (such as carbon nanotube transistors for high-speed and low-energy circuits) and new non-volatile memory (such as dense resistive RAM that can store multiple bits inside each memory cell). To scale with growing problem sizes, new Illusion systems orchestrate multiple N3XT chips to create an illusion of a Dream Chip with near-Dream energy and throughput. A wide variety of N3XT hardware prototypes, built in commercial US foundry as part of DARPA’s 3DSoC program as well as research facilities, represent leading examples of transforming scientifically-interesting nanomaterials and nanodevices into actual 21st-century NanoSystems. N3XT NanoSystems target 1,000X system-level energy-delay-product benefits especially for abundant-data applications. Such massive benefits enable coming generations of applications that push new frontiers, from deeply-embedded computing systems all the way to the cloud.

Short CV:

Subhasish Mitra is Professor of EE and of CS at Stanford University. He directs the Stanford Robust Systems Group, leads the Computation Focus Area of the Stanford SystemX Alliance, and is a member of the Wu Tsai Neurosciences Institute. Prof. Mitra also holds the Carnot Chair of Excellence in NanoSystems at CEA LETI in France. His research ranges across Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences. Results from his research group have influenced almost every contemporary electronic system, and have inspired significant government and research initiatives in multiple countries. Prof. Mitra also has consulted for major technology companies including Cisco, Google, Intel, Samsung, and Xilinx. Prof. Mitra's honors include the Newton Technical Impact Award in EDA (test of time honor by ACM SIGDA and IEEE CEDA), the Semiconductor Research Corporation’s Technical Excellence Award, the Intel Achievement Award (Intel’s highest honor), and the US Presidential Early Career Award. He has published award-winning papers at major venues. He is an ACM Fellow and an IEEE Fellow.