Trapper: Eliminating performance bottlenecks in a parallel embedded application

Frank Heinze; Lorenz Schäfers; Christian Scheidler; Wolfgang  Obelöer

doi:10.1109/4434.605916

Trapper: Eliminating performance bottlenecks in a parallel embedded application

Frank Heinze^*, Lorenz Schäfers, Christian Scheidler, Wolfgang Obelöer

^*Korrespondierende/r Autor/-in für diese Arbeit

6 Zitate (Scopus)

Abstract

Trapper served as the main software development tool for the Prometheus collision-avoidance project at Daimler-Benz. This article shows how this software-engineering environment for parallel and distributed systems helped detect and eliminate bottlenecks in a traffic-sign-recognition task.

Originalsprache	Englisch
Zeitschrift	IEEE Concurrency
Jahrgang	5
Ausgabenummer	3
Seiten (von - bis)	28-37
Seitenumfang	10
ISSN	1092-3063
DOIs	https://doi.org/10.1109/4434.605916
Publikationsstatus	Veröffentlicht - 01.07.1997
Extern publiziert	Ja

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10.1109/4434.605916

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title = "Trapper: Eliminating performance bottlenecks in a parallel embedded application",

abstract = "Trapper served as the main software development tool for the Prometheus collision-avoidance project at Daimler-Benz. This article shows how this software-engineering environment for parallel and distributed systems helped detect and eliminate bottlenecks in a traffic-sign-recognition task.",

author = "Frank Heinze and Lorenz Sch{\"a}fers and Christian Scheidler and Wolfgang Obel{\"o}er",

year = "1997",

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language = "English",

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AU - Heinze, Frank

AU - Schäfers, Lorenz

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AU - Obelöer, Wolfgang

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Y1 - 1997/7/1

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AB - Trapper served as the main software development tool for the Prometheus collision-avoidance project at Daimler-Benz. This article shows how this software-engineering environment for parallel and distributed systems helped detect and eliminate bottlenecks in a traffic-sign-recognition task.

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U2 - 10.1109/4434.605916

DO - 10.1109/4434.605916

M3 - Journal articles

AN - SCOPUS:0031189552

SN - 1092-3063

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EP - 37

JO - IEEE Concurrency

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ER -

Trapper: Eliminating performance bottlenecks in a parallel embedded application

Abstract

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