Regression Test Suites Optimization for Application-specific Instruction-set Processors and Their Use for Dependability Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121628" target="_blank" >RIV/00216305:26230/16:PU121628 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/DSD.2016.50" target="_blank" >http://dx.doi.org/10.1109/DSD.2016.50</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DSD.2016.50" target="_blank" >10.1109/DSD.2016.50</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Regression Test Suites Optimization for Application-specific Instruction-set Processors and Their Use for Dependability Analysis

Popis výsledku v původním jazyce

Nowadays, Application-specific Instruction-set Processors (ASIPs) are an important part of embedded systems, especially those which are utilized in Internet of Things (IoT). They can be optimized for high performance, small area or low power consumption by changes in their instruction set or by various changes in their hardware architecture. With fast prototyping of ASIPs, another very important issue arises. It is fast verification of such changes, ideally with optimized test suites, so comprehensive and long-running verification after every change can be avoided. In this paper, a new technique for building optimized regression suites for ASIPs is proposed which is based on the genetic algorithm. Experiments show that using this technique, reduction of the original test suite from first phase verification is significant, the new optimized regression suite remains strong in checking key functionality of an ASIP and a considerable improvement in the verification runtime can be achieved. Moreover, the paper shows a proposal of multi-domain application of the regression suites in evaluating dependability of FPGA-based ASIP prototypes.

Název v anglickém jazyce

Regression Test Suites Optimization for Application-specific Instruction-set Processors and Their Use for Dependability Analysis

Popis výsledku anglicky

Nowadays, Application-specific Instruction-set Processors (ASIPs) are an important part of embedded systems, especially those which are utilized in Internet of Things (IoT). They can be optimized for high performance, small area or low power consumption by changes in their instruction set or by various changes in their hardware architecture. With fast prototyping of ASIPs, another very important issue arises. It is fast verification of such changes, ideally with optimized test suites, so comprehensive and long-running verification after every change can be avoided. In this paper, a new technique for building optimized regression suites for ASIPs is proposed which is based on the genetic algorithm. Experiments show that using this technique, reduction of the original test suite from first phase verification is significant, the new optimized regression suite remains strong in checking key functionality of an ASIP and a considerable improvement in the verification runtime can be achieved. Moreover, the paper shows a proposal of multi-domain application of the regression suites in evaluating dependability of FPGA-based ASIP prototypes.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 19th Euromicro Conference on Digital Systems Design

ISBN

978-1-5090-2816-0

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

380-387

Název nakladatele

IEEE Computer Society

Místo vydání

Limassol Cyprus

Místo konání akce

Limassol

Datum konání akce

31. 8. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000386638800050