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Multicore Software Engineering, Performance, and Tools

International Conference, MUSEPAT 2013, Saint Petersburg, Russia, August 19-20,2013, Proceedings, Lecture Notes in Computer Science 8063 - Programming and Software Engineering

Erschienen am 14.07.2013, 1. Auflage 2013
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Bibliografische Daten
ISBN/EAN: 9783642399541
Sprache: Englisch
Umfang: x, 111 S., 37 s/w Illustr., 111 p. 37 illus.
Einband: kartoniertes Buch

Beschreibung

This book constitutes the refereed proceedings of the International Conference on Multiscore Software Engineering, Performance, and Tools, MUSEPAT 2013, held in Saint Petersburg, Russia, in August 2013. The 9 revised papers were carefully reviewed and selected from 25 submissions. The accepted papers are organized into three main sessions and cover topics such as software engineering for multicore systems; specification, modeling and design; programing models, languages, compiler techniques and development tools; verification, testing, analysis, debugging and performance tuning, security testing; software maintenance and evolution; multicore software issues in scientific computing, embedded and mobile systems; energy-efficient computing as well as experience reports.

Produktsicherheitsverordnung

Hersteller:
Springer Verlag GmbH
juergen.hartmann@springer.com
Tiergartenstr. 17
DE 69121 Heidelberg

Autorenportrait

InhaltsangabePerformance Analysis and Algorithms.- Self-timed Scheduling and Execution of Nonlinear Pipelines with Parallel Stages.- MVA-based Probabilistic Model of Shared Memory with Round Robin Arbiter for Predicting Performance With Heterogeneous.- Workload.- MHS2: A Map-Reduce heuristic-driven minimal hitting set search algorithm.- Programming Models and Optimization.- Handling Parallelism in a Concurrency Model.- On the Relevance of Total-Order Broadcast Implementations in Replicated Software Transactional Memories.- How to Cancel a Task.- Testing and Debugging.- Automatically Repairing Concurrency Bugs with ARC.- A Modular Approach to Model-Based Testing of Concurrent Programs.- A Dynamic Approach to Isolating Erroneous Event Patterns in Concurrent Program Executions.