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Automatic Model Generation for Gate-Level Circuit PDES with Reverse Computation

Published: 27 May 2017 Publication History

Abstract

Gate-level circuit simulation is an important step in the design and validation of complex circuits. This step of the process relies on existing libraries for gate specifications. We start with a generic gate model for Rensselaer’s Optimistic Simulation System, a parallel discrete-event simulation framework. This generic model encompasses all functionality needed by optimistic simulation using reverse computation. We then describe a parser system that uses a standardized gate library to create a specific model for simulation. The generated model is composed of several functions, including those needed for an accurate model of timing behavior. To quantify the improvements that an automatically generated model can have over a hand written model, we compare two gate library models: an automatically generated lsi-10k library model and a previously investigated, handwritten, simplified gtech library model. We conclude that the automatically generated model is a more accurate model of actual hardware. In comparison to previous results, we find that the automatically generated model is able to achieve better optimistic simulation performance when measured against conservative simulation. To test the automatically generated model, we evaluate the performance of a simulation of a full-scale OpenSPARC T2 processor model. This model consists of nearly 6 million LPs. We achieve a peak performance of 1.63 million events per second during a conservative simulation. To understand the relatively weaker performance of optimistic simulation, we investigate hot spots of event activity and visually identify a workload imbalance.

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  • (2019)Optimistic Modeling and Simulation of Complex Hardware Platforms and Embedded Systems on Many-Core HPC ClustersIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2018.286001430:2(428-444)Online publication date: 1-Feb-2019
  • (2019)PSMLThe Journal of Supercomputing10.1007/s11227-018-2682-175:5(2691-2724)Online publication date: 1-May-2019
  • (2017)Guest Editorial for the TOMACS Special Issue on the Principles of Advanced Discrete Simulation (PADS)ACM Transactions on Modeling and Computer Simulation10.1145/308454327:2(1-3)Online publication date: 6-Jul-2017

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cover image ACM Transactions on Modeling and Computer Simulation
ACM Transactions on Modeling and Computer Simulation  Volume 27, Issue 2
Special Issue on PADS 2015
April 2017
203 pages
ISSN:1049-3301
EISSN:1558-1195
DOI:10.1145/3015562
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 27 May 2017
Accepted: 01 January 2017
Revised: 01 November 2016
Received: 01 November 2015
Published in TOMACS Volume 27, Issue 2

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Author Tags

  1. Model Development
  2. Model Development: Methodologies
  3. Types of Simulation: Discrete Event
  4. Types of Simulation: Parallel

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View all
  • (2019)Optimistic Modeling and Simulation of Complex Hardware Platforms and Embedded Systems on Many-Core HPC ClustersIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2018.286001430:2(428-444)Online publication date: 1-Feb-2019
  • (2019)PSMLThe Journal of Supercomputing10.1007/s11227-018-2682-175:5(2691-2724)Online publication date: 1-May-2019
  • (2017)Guest Editorial for the TOMACS Special Issue on the Principles of Advanced Discrete Simulation (PADS)ACM Transactions on Modeling and Computer Simulation10.1145/308454327:2(1-3)Online publication date: 6-Jul-2017

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