首页> 外文会议> >Effective parallel processing techniques for the generation of test data for a logic built-in self test system
【24h】

Effective parallel processing techniques for the generation of test data for a logic built-in self test system

机译:有效的并行处理技术,用于生成逻辑内置自检系统的测试数据

获取原文
获取外文期刊封面目录资料

摘要

Logic Built-in Self rest (LBIST) is a test methodology adopted by some companies to test their complex processor designs. It can involve a very high volume of simulation, perhaps up to one to two million patterns. For large designs, the simulation time (which includes logic simulation, random stimulus generation and signature computations) can be enormous. Parallel processing provides a relief for this long simulation time. This paper describes a technique to efficiently partition patterns among different processors. These patterns are derived from on-product Pseudo-Random Pattern Generators (PRPGs) and the signature is a serial compression of the response data from all of the patterns. Both the PRPG and signature calculation have a serial pattern dependency, which normally would prohibit parallel simulation of the patterns. We show how to quickly advance a PRPG state to jump ahead to any specific pattern's starting state and an innovative post processing technique to compute correct signatures from initially incorrect ones computed in parallel among different processes. The results demonstrate that the overhead to correct the signatures is small and the parallel speed up is very effective.
机译:逻辑内置自停(LBIST)是一些公司采用的测试方法,用于测试其复杂的处理器设计。它可能涉及大量的仿真,可能多达一到两百万个模式。对于大型设计,仿真时间(包括逻辑仿真,随机激励生成和签名计算)可能会非常长。并行处理可缓解这种漫长的仿真时间。本文介绍了一种在不同处理器之间有效划分模式的技术。这些模式源自产品上的伪随机模式生成器(PRPG),并且签名是来自所有模式的响应数据的串行压缩。 PRPG和签名计算都具有串行模式依赖性,这通常会禁止并行模拟模式。我们将展示如何快速推进PRPG状态以跳到任何特定模式的开始状态,以及一种创新的后处理技术,以从在不同过程之间并行计算的最初不正确的签名中计算出正确的签名。结果表明,校正签名的开销很小,并且并行加速非常有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号