Data-centric concurrency control on the java programming language

Dissertação para obtenção do Grau de Mestre em Engenharia InformáticaThe multi-core paradigm has propelled shared-memory concurrent programming to an important role in software development. Its use is however limited by the constructs that provide a layer of abstraction for synchronizing access to shared resources. Reasoning with these constructs is not trivial due to their concurrent nature. Data-races and deadlocks occur in concurrent programs, encumbering the programmer and further reducing his productivity. Even though the constructs should be as unobtrusive and intuitive as possible, performance must also be kept high compared to legacy lock-based mechanism. Failure to guarantee similar performance will hinder a system from adoption. Recent research attempts to address these issues. However, the current state of the art in concurrency control mechanisms is mostly code-centric and not intuitive. Its codecentric nature requires the specification of the zones in the code that require synchronization,contributing to the decentralization of concurrency bugs and error-proneness of the programmer. On the other hand, the only data-centric approach, AJ [VTD06], exposes excessive detail to the programmer and fails to provide complete deadlock-freedom. Given this state of the art, our proposal intends to provide the programmer a set of unobtrusive data-centric constructs. These will guarantee desirable security properties: composability, atomicity, and deadlock-freedom in all scenarios. For that purpose, a lower level mechanism (ResourceGroups) will be used. The model proposed resides on the known concept of atomic variables, the basis for our concurrency control mechanism. To infer the efficiency of our work, it is compared to Java synchronized blocks, transactional memory and AJ, where our system demonstrates a competitive performance and an equivalent level of expressivity.RepComp project(PTDC/EIA-EIA/108963/2008

Sound Atomicity Inference for Data-Centric Synchronization

Data-Centric Concurrency Control (DCCC) shifts the reasoning about concurrency restrictions from control structures to data declaration. It is a high-level declarative approach that abstracts away from the actual concurrency control mechanism(s) in use. Despite its advantages, the practical use of DCCC is hindered by the fact that it may require many annotations and/or multiple implementations of the same method to cope with differently qualified parameters. Moreover, the existing DCCC solutions do not address the use of interfaces, precluding their use in most object-oriented programs. To overcome these limitations, in this paper we present AtomiS, a new DCCC model based on a rigorously defined type-sound programming language. Programming with AtomiS requires only (atomic)-qualifying types of parameters and return values in interface definitions, and of fields in class definitions. From this atomicity specification, a static analysis infers the atomicity constraints that are local to each method, considering valid only the method variants that are consistent with the specification, and performs code generation for all valid variants of each method. The generated code is then the target for automatic injection of concurrency control primitives, by means of the desired automatic technique and associated atomicity and deadlock-freedom guarantees, which can be plugged-into the model's pipeline. We present the foundations for the AtomiS analysis and synthesis, with formal guarantees that the generated program is well-typed and that it corresponds behaviourally to the original one. The proofs are mechanised in Coq. We also provide a Java implementation that showcases the applicability of AtomiS in real-life programs

Virtual Machine Support for Many-Core Architectures: Decoupling Abstract from Concrete Concurrency Models

The upcoming many-core architectures require software developers to exploit concurrency to utilize available computational power. Today's high-level language virtual machines (VMs), which are a cornerstone of software development, do not provide sufficient abstraction for concurrency concepts. We analyze concrete and abstract concurrency models and identify the challenges they impose for VMs. To provide sufficient concurrency support in VMs, we propose to integrate concurrency operations into VM instruction sets. Since there will always be VMs optimized for special purposes, our goal is to develop a methodology to design instruction sets with concurrency support. Therefore, we also propose a list of trade-offs that have to be investigated to advise the design of such instruction sets. As a first experiment, we implemented one instruction set extension for shared memory and one for non-shared memory concurrency. From our experimental results, we derived a list of requirements for a full-grown experimental environment for further research

Static Application-Level Race Detection in STM Haskell using Contracts

Writing concurrent programs is a hard task, even when using high-level synchronization primitives such as transactional memories together with a functional language with well-controlled side-effects such as Haskell, because the interferences generated by the processes to each other can occur at different levels and in a very subtle way. The problem occurs when a thread leaves or exposes the shared data in an inconsistent state with respect to the application logic or the real meaning of the data. In this paper, we propose to associate contracts to transactions and we define a program transformation that makes it possible to extend static contract checking in the context of STM Haskell. As a result, we are able to check statically that each transaction of a STM Haskell program handles the shared data in a such way that a given consistency property, expressed in the form of a user-defined boolean function, is preserved. This ensures that bad interference will not occur during the execution of the concurrent program.Comment: In Proceedings PLACES 2013, arXiv:1312.2218. [email protected]; [email protected]