PPT-Learning-Based Approximation of Interconnect Delay and Slew

Andrew B Kahng Seokhyeong Kang Hyein Lee Siddhartha Nath and Jyoti Wadhwani VLSI CAD LABORATORY UC San Diego 15 th ACMIEEE SystemLevel Interconnect Prediction Workshop June 2 nd 2013. 9 10 11 12 13 12481632 Performance normalized to 1MB LLC size MB 04 06 08 10 0 64 128 192 256 Percore Performance normalized to 1 core Number of cores 64 128 192 256 0 64 128 192 256 Chip Performance normalized to 1 core Number of cores brPage 4br br Sometimes we can handle NP problems with polynomial time algorithms which are guaranteed to return a solution within some specific bound of the optimal solution. within a constant . c. . of the optimal. Proposal. Bob Ross, . Teraspeed. Labs. bob@teraspeedlabs.com. EPEPS 2015 IBIS Summit. San Jose, CA, October 28. , 2015. Draft Presented September 2, 2015 at the Interconnect Working Group. Copyright 2015 . . . DIVYA CHALLA. INTRODUCTION. INTERCONNECTS . connect the electronic circuits on a chip for proper functionality of the IC.. Interconnects can be . Local. . (connections within transistors) or . . Requirements. Chen Zhao, Frank Yang. NetApp, Inc.. Storage Interconnect Requirements. Multi-destination RMA operation with reliable unconnected transport. 2. www.openfabrics.org. Storage Interconnect Requirements. Through Communication-Based Design. Veronica . Eyo. Sharvari. Joshi. System on chip. Overview . Transition from Ad hoc System On Chip design to Platform based design. Partitioning the communication design into layers using the “network on chip” approach. Exploring Complex Interconnect Topologies . for the Global Metal Layer. Oleg . Petelin. and Vaughn Betz. FPL 2016. Motivation – The Metal Stack. Poor wire RC scaling .  more complex metal stack. Moonsu. Kim, . Eun. . yeung. Yu, . Eunbyeol. Kim . Samsung Electronics Co., Ltd. . System LSI Division. . Ayhan. . Mutlu. . Synopsys Co., Ltd. . . Motivation. Process & Design trends. Random variation is increasing in advanced process nodes . Xun. Jiao. *. , Yu Jiang. +. , . Abbas. . Rahimi. $. , and Rajesh K. Gupta. *. *. University of California, San Diego. +. Tsinghua. University. $. University of California, Berkeley. Agenda. Motivation. Windowing in FIR Filter Design. Design Summary and Examples. Announcements:. Reading: . “4: FIR Discrete-Time Filters” pp. . 14-24. (i.e. read . all. of 1-24 . except. . 13-13.5, i.e. skip . Stability: . Exploring Complex Interconnect Topologies . for the Global Metal Layer. Oleg . Petelin. and Vaughn Betz. FPL 2016. Motivation – The Metal Stack. Poor wire RC scaling .  more complex metal stack. Grigory. . Yaroslavtsev. http://grigory.us. . With . Shuchi. . Chawla. (University of Wisconsin, Madison),. Konstantin . Makarychev. (Microsoft Research),. Tselil. Schramm (University of California, Berkeley). Treating Severe . Problem . Behavior:. A . Focus on . Strengthening. Socially . Important . Behavior. of . Persons with Autism. . DataFinch. November, 2014. Functional Assessment and Treatment Model. Klein@UCB. And also Alan . Fern@ORST. Does self learning through simulator.. [Infants don’t get to “simulate” the. . world since they neither have. . T(.) nor R(.) of their world. ]. Although, once they learn to speak, .