Automatic Generation of High Performance Embedded Memory Models for PowerPC Microprocessors

J. Bhadra, M. Abadir, D. Burgess, E. Trofimova
{"title":"Automatic Generation of High Performance Embedded Memory Models for PowerPC Microprocessors","authors":"J. Bhadra, M. Abadir, D. Burgess, E. Trofimova","doi":"10.1109/MTV.2005.9","DOIUrl":null,"url":null,"abstract":"Embedded memories form a crucial part in the design of modern high performance microprocessors. The number of transistors in memories forms a majority of the transistors in a typical high performance microprocessor. Therefore, modeling embedded memories is an important challenge in high performance microprocessor design. A typical design process involves a multiplicity of interacting methodologies - simulation, formal verification, design for test, emulation etc. Memory models are needed for each of these methodologies. This complicates the process of modeling memories. The authors present a tool called MemGen that automates memory model generation for all methodologies. It has been used in-house in Motorola Inc. and then later in Freescale Semiconductor Inc. in all high performance design projects. The authors present result obtained by using MemGen-generated embedded memories in real life design projects of PowerPCreg G2 and G4 microprocessors","PeriodicalId":179953,"journal":{"name":"2005 Sixth International Workshop on Microprocessor Test and Verification","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 Sixth International Workshop on Microprocessor Test and Verification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MTV.2005.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Embedded memories form a crucial part in the design of modern high performance microprocessors. The number of transistors in memories forms a majority of the transistors in a typical high performance microprocessor. Therefore, modeling embedded memories is an important challenge in high performance microprocessor design. A typical design process involves a multiplicity of interacting methodologies - simulation, formal verification, design for test, emulation etc. Memory models are needed for each of these methodologies. This complicates the process of modeling memories. The authors present a tool called MemGen that automates memory model generation for all methodologies. It has been used in-house in Motorola Inc. and then later in Freescale Semiconductor Inc. in all high performance design projects. The authors present result obtained by using MemGen-generated embedded memories in real life design projects of PowerPCreg G2 and G4 microprocessors
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
PowerPC微处理器高性能嵌入式内存模型的自动生成
嵌入式存储器在现代高性能微处理器的设计中起着至关重要的作用。存储器中的晶体管数量构成了典型高性能微处理器中晶体管的大部分。因此,嵌入式存储器的建模是高性能微处理器设计中的一个重要挑战。一个典型的设计过程涉及多种相互作用的方法——仿真、形式验证、测试设计、仿真等。每种方法都需要内存模型。这使记忆建模的过程变得复杂。作者提出了一个名为MemGen的工具,它可以为所有方法自动生成内存模型。它已经在摩托罗拉公司内部使用,然后在飞思卡尔半导体公司的所有高性能设计项目。作者介绍了在PowerPCreg G2和G4微处理器的实际设计项目中使用memgen生成的嵌入式存储器所获得的结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Is IDDQ Test of Microprocessors Feasible? HW/SW Co-Verification of a RISC CPU using Bounded Model Checking Language-driven Validation of Pipelined Processors using Satisfiability Solvers Automatic Generation of High Performance Embedded Memory Models for PowerPC Microprocessors Retiming Verification Using Sequential Equivalence Checking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1