Abstract: We explore techniques for designing nonblocking algorithms that do not require advance knowledge of the number of processes that participate, whose time complexity and space consumption both adapt to various measures, rather than being based on predefined worst-case scenarios, and that cannot be prevented from future memory reclamation by process failures. These techniques can be implemented using widely available hardware synchronization primitives. We present our techniques in the context of solutions to the well-known Collect problem. We also explain how our techniques can be exploited to achieve other results with similar properties; these include long-lived renaming and dynamic memory management for nonblocking data structures.

Abstract: 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 substantially simpler and more efficient implementations. An interesting feature of our obstruction-free STM implementation is its ability to use of modular contention managers to ensure progress in practice.

Abstract: A method for inserting an object into a concurrent set including obtaining a key associated with the object, traversing the concurrent set using a first thread containing the key, identifying a first insertion point while traversing the concurrent set, where the first insertion point is before a current node and after a predecessor node, obtaining a first lock for the predecessor node after identifying the first insertion point, validating the predecessor node and the current node after obtaining the lock, inserting a new node into the concurrent set after validating, where the new node is associated with the object, and releasing the first lock after inserting the new node.

Abstract: 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 substantially simpler and more efficient implementations. An interesting feature of our obstruction-free STM implementation is its ability to use of modular contention managers to ensure progress in practice.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). A class of general solutions to value recycling is described in the context of an illustration we call the Repeat Offender Problem (ROP), including illustrative Application Program Interfaces (APIs) defined in terms of the ROP terminology. Furthermore, specific solutions, implementations and algorithm, including a Pass-The-Buck (PTB) implementation are also described. Solutions to the proposed value recycling problem have a variety of uses.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). A variety of solutions to the proposed value recycling problem may be implemented. A class of general solutions to value recycling is described in the context of an illustration we call the Repeat Offender Problem (ROP), including illustrative Application Program Interfaces (APIs) defined in terms of the ROP terminology. Furthermore, specific solutions, implementations and algorithm, including a Pass-The-Buck (PTB) implementation are also described. Solutions to the value recycling problem can be applied in a variety of ways to implement dynamic-sized data structures.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). Indeed, we present several exemplary realizations of dynamic-sized, non-blocking shared data structures that are not prevented from future memory reclamation by thread failures and which depend (in some implementations) only on widely-available hardware support for synchronization. Some exploitations of the techniques described herein allow non-blocking, indeed even lock-free or wait-free, implementations of dynamic storage allocation for shared data structures.

Abstract: A methodology has been discovered for transforming garbage collection-dependent algorithms, shared object implementations and/or concurrent software mechanisms into a form that does not presume the existence of an independent, or execution environment provided, garbage collector. Algorithms, shared object implementations and/or mechanisms designed or transformed using techniques described herein provide explicit reclamation of storage using lock-free pointer operations. Transformations can be applied to lock-free algorithms and shared object implementations and preserve lock-freedom of such algorithms and implementations. As a result, existing and future lock-free algorithms and shared object implementations that depend on a garbage-collected execution environment can be exploited in environments that do not provide garbage collection.

Abstract: One embodiment of the present invention provides a system that facilitates selectively unmarking load-marked cache lines during transactional program execution, wherein load-marked cache lines are monitored during transactional execution to detect interfering accesses from other threads. During operation, the system encounters a release instruction during transactional execution of a block of instructions. In response to the release instruction, the system modifies the state of cache lines, which are specially load-marked to indicate they can be released from monitoring, to account for the release instruction being encountered. In doing so, the system can potentially cause the specially load-marked cache lines to become unmarked. In a variation on this embodiment, upon encountering a commit-and-start-new-transaction instruction, the system modifies load-marked cache lines to account for the commit-and-start-new-transaction instruction being encountered.

Abstract: We teach a powerful approach that greatly simplifies the design of non-blocking mechanisms and data structures, in part by, largely separate the issues of correctness and progress. At a high level, our methodology includes designing an “obstruction-free” implementation of the desired mechanism or data structure, which may then be combined with a contention management mechanism whose role is to facilitate the conditions under which progress of the obstruction-free implementation is assured. In general, the contention management mechanism is separable semantically from an obstruction-free concurrent shared/sharable object implementation to which it is/may be applied. In some cases, the contention management mechanism may actually be coded separately from the obstruction-free implementation. We elaborate herein on the notions of obstruction-freedom and contention management, and various possibilities for combining the two.

Abstract: Embodiments of the invention relate to transactional memory execution utilizing virtual memory. A processor includes a local transactional cache and a resource manager. The resource manager responsive to a transactional memory transaction request from a requesting thread determines whether the local transactional cache is capable of accommodating the transactional memory transaction request and, if so, the local transactional caches performs the transactional memory transaction. However, if the local transactional cache is not capable of accommodating the transactional memory transaction request, data for the transactional memory transaction request is overflowed into an application's virtual address space associated with the requesting thread.

Abstract: We have developed a methodology for transforming garbage collection-dependent algorithms, shared object implementations and/or concurrent software mechanisms into a form that does not presume the existence of an independent, or execution environment provided, garbage collector. Algorithms, shared object implementations and/or mechanisms designed or transformed using techniques described herein provide explicit reclamation of storage using lock-free pointer operations. Transformations can be applied to lock-free algorithms and shared object implementations and preserve lock-freedom of such algorithms and implementations. As a result, existing and future lock-free algorithms and shared object implementations that depend on a garbage-collected execution environment can be exploited in environments that do not provide garbage collection.

Abstract: We explore techniques for designing nonblocking algorithms that do not require advance knowledge of the number of processes that participate, whose time complexity and space consumption both adapt to various measures, rather than being based on predefined worst-case scenarios, and that cannot be prevented from future memory reclamation by process failures. These techniques can be implemented using widely available hardware synchronization primitives. We present our techniques in the context of solutions to the well-known Collect problem. We also explain how our techniques can be exploited to achieve other results with similar properties; these include long-lived renaming and dynamic memory management for nonblocking data structures.

Abstract: We present a technique for implementing obstruction-free atomic multi-target transactions that target special “transactionable” locations in shared memory. A programming interface for using operations based on these transactions can be structured in several ways, including as n-word compare-and-swap (NCAS) operations or as atomic sequences of single-word loads and stores (e.g., as transactional memory).

Abstract: 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 substantially simpler and more efficient implementations. An interesting feature of our obstruction-free STM implementation is its ability to use of modular contention managers to ensure progress in practice.

Abstract: We introduce obstruction-freedom—a new non-blocking condition for shared data structures that weakens the progress requirements of traditional nonblocking conditions, and as a result admits solutions that are significantly simpler and more efficient in the typical case of low contention. We demonstrate the merits of obstruction-freedom by showing how to implement an obstruction-free double-ended queue that has better properties than any previous nonblocking deque implementation of which we are aware. The beauty of obstruction-freedom is that we can modify and experiment with the contention management mechanisms without needing to modify (and therefore reverify) the underlying non-blocking algorithm. In contrast, work on different mechanisms for guaranteeing progress in the context of lock-free and wait-free algorithms has been hampered by the fact that modifications to the “helping” mechanisms has generally required the proofs for the entire algorithm to be done again.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). A variety of solutions to the proposed value recycling problem may be implemented. A class of general solutions to value recycling is described in the context of an illustration we call the Repeat Offender Problem (ROP), including illustrative Application Program Interfaces (APIs) defined in terms of the ROP terminology. Furthermore, specific solutions, implementations and algorithm, including a Pass-The-Buck (PTB) implementation are also described. Solutions to the value recycling problem can be applied in a variety of ways to implement dynamic-sized data structures.

Abstract: Solutions to a value recycling problem facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). Some exploitations allow non-blocking, indeed even lock-free or wait-free, implementations of dynamic storage allocation for shared data structures. In some exploitations, our techniques provide a way to manage dynamically allocated memory in a non-blocking manner without depending on garbage collection. While exploitations of solutions to the value recycling problem that we propose include management of dynamic storage allocation wherein values managed and recycled tend to include values that encode pointers, they are not limited thereto.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). Indeed, we present several exemplary realizations of dynamic-sized, non-blocking shared data structures that are not prevented from future memory reclamation by thread failures and which depend (in some implementations) only on widely-available hardware support for synchronization. Some exploitations of the techniques described herein allow non-blocking, indeed even lock-free or wait-free, implementations of dynamic storage allocation for shared data structures.

Abstract: Solutions to a value recycling problem that we define herein facilitate implementations of computer programs that may execute as multithreaded computations in multiprocessor computers, as well as implementations of related shared data structures. Some exploitations of the techniques described herein allow non-blocking, shared data structures to be implemented using standard dynamic allocation mechanisms (such as malloc and free). A class of general solutions to value recycling is described in the context of an illustration we call the Repeat Offender Problem (ROP), including illustrative Application Program Interfaces (APIs) defined in terms of the ROP terminology. Furthermore, specific solutions, implementations and algorithm, including a Pass-The-Buck (PTB) implementation are also described. Solutions to the proposed value recycling problem have a variety of uses.