{"title":"A Microcode Real-time Executive For Numeric Support Nodes Distributed Within Embedded Networks","authors":"J. Bondi","doi":"10.1145/62504.62532","DOIUrl":null,"url":null,"abstract":"The mix of nodes within heterogeneous embedded networks typically includes some highly specialized, numerically oriented nodes particularly adept at efficient manipulation of regularly structured, multi-element array operands. Such “Array Processing” (AP) nodes usually serve other more general-purpose (GP) nodes.\nLocal node-level control of each AP is maintained by a microcoded AP-resident executive program (APX). The APX is carefully microcoded and tuned to minimize overhead incurred by the computation-or-throughput-intensive tasks using or sharing AP resources.","PeriodicalId":378625,"journal":{"name":"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/62504.62532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The mix of nodes within heterogeneous embedded networks typically includes some highly specialized, numerically oriented nodes particularly adept at efficient manipulation of regularly structured, multi-element array operands. Such “Array Processing” (AP) nodes usually serve other more general-purpose (GP) nodes.
Local node-level control of each AP is maintained by a microcoded AP-resident executive program (APX). The APX is carefully microcoded and tuned to minimize overhead incurred by the computation-or-throughput-intensive tasks using or sharing AP resources.