on the hardware based transactional synchronization methodology of Herlihy and Moss, we offer software transactional memory (STM), a novel software method for supporting flexible transactional programming of synchronization operations. STM is non-blocking, and can be implemented on existing machines using only a

, and process migrations. If the transactional model is to gain wide acceptance, hardware support for transactions must be virtualized to hide these limitations in much the same way that virtual memory shields the programmer from platform-specific limitations of physical memory. This paper proposes Virtual

associated with conventional locking techniques, including priority inversion, convoying, and difficulty of avoiding deadlock. This paper introduces transactional memory, a new multiprocessor architecture intended to make lock-free synchronization as efficient (and easy to use) as conventional techniques

Transactions: To overcome the problems with locks, Herlihy and Moss proposed a hardware transactional memory (HTM) [1] scheme that gives the programmer a more intuitive atomicity primitive, a transaction. A transaction is an atomic region that either completes atomically or fails and has no effect

We propose a new form of software transactional memory (STM) designed to support dynamic-sized data structures, and we describe a novel non-blocking implementation. The non-blocking property we consider is obstruction-freedom. Obstruction-freedom is weaker than lock-freedom; as a result, it admits

Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes providing data version management for the simultaneous storage of both new (visible if the transaction commits) and old

Transactional memory (TM) is an appealing abstraction for programming multi-core systems. Potential target applications for TM, such as business software and video games, are likely to involve complex data structures and large transactions, requiring specific software solutions (STM). So far

In this paper, we propose a new shared memory model: Transactional

Transactional memory (TM) promises to substantially reduce the difficulty of writing correct, efficient, and scalable concurrent programs. But “bounded ” and “best-effort” hardware TM proposals impose unreasonable constraints on programmers, while more flexible software TM implementations

possibly unnecessary serialization, and possible deadlock. Transactional memory is an alternative mechanism that makes parallel programming easier. With transactional memory, a transaction provides atomic and serializable operations on an arbitrary set of memory locations. When a transaction commits, all