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|Título: ||Static detection of anomalies in transactional memory programs|
|Autor: ||Teixeira, Bruno Cavaca|
|Orientador: ||Lourenço, João|
|Palavras-chave: ||Transactional memory|
|Issue Date: ||2010|
|Editora: ||Faculdade de Ciências e Tecnologia|
|Resumo: ||Transactional Memory (TM) is an approach to concurrent programming based on the transactional semantics borrowed from database systems. In this paradigm, a transaction is a sequence of actions that may execute in a single logical instant, as though it was the only one being executed
at that moment. Unlike concurrent systems based in locks, TM does not enforce that a
single thread is performing the guarded operations. Instead, like in database systems, transactions execute concurrently, and the effects of a transaction are undone in case of a conflict, as though it never happened. The advantages of TM are an easier and less error-prone programming model, and a potential increase in scalability and performance.
In spite of these advantages, TM is still a young and immature technology, and has still
to become an established programming model. It still lacks the paraphernalia of tools and
standards which we have come to expect from a widely used programming paradigm. Testing
and analysis techniques and algorithms for TM programs are also just starting to be addressed by the scientific community, making this a leading research work is many of these aspects.
This work is aimed at statically identifying possible runtime anomalies in TMprograms. We
addressed both low-level dataraces in TM programs, as well as high-level anomalies resulting from incorrect splitting of transactions.
We have defined and implemented an approach to detect low-level dataraces in TM programs
by converting all the memory transactions into monitor protected critical regions, synchronized on a newly generated global lock. To validate the approach, we have applied our tool to a set of tests, adapted from the literature, that contain well documented errors.
We have also defined and implemented a new approach to static detection of high-level
concurrency anomalies in TM programs. This new approach works by conservatively tracing
transactions, and matching the interference between each consecutive pair of transactions
against a set of defined anomaly patterns. Once again, the approach was validated with well documented tests adapted from the literature.|
|Descrição: ||Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática|
|Appears in Collections:||FCT: DI - Dissertações de Mestrado|
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