concurrent objects
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Author(s):  
Tangliu Wen ◽  
Jie Peng ◽  
Jinyun Xue ◽  
Zhen You ◽  
Lan Song

Linearizability is a commonly accepted consistency condition for concurrent objects. Filipović et al. show that linearizability is equivalent to observational refinement. However, linearizability does not permit concurrent objects to share memory spaces with their client programs. We show that linearizability (or observational refinement) can be broken even though a client program of an object accesses the shared memory spaces without interleaving with the methods of the object. In this paper, we present strict linearizability which lifts this limitation and can ensure client-side traces and final-states equivalence even in a relaxed program model allowing clients to directly access the internal states of concurrent objects. We also investigate several important properties of strict linearizability. At a high level of abstraction, a concurrent object can be viewed as a concurrent implementation of an abstract data type (ADT). We also present a correctness criterion for relating an ADT and its concurrent implementation, which is the combination of linearizability and data abstraction and can ensure observational equivalence. We also investigate its relationship with strict linearizability.


Author(s):  
Maurice Herlihy ◽  
Nir Shavit ◽  
Victor Luchangco ◽  
Michael Spear
Keyword(s):  

2020 ◽  
Vol 110 ◽  
pp. 101764
Author(s):  
Shinhyung Yang ◽  
Seongho Jeong ◽  
Byunguk Min ◽  
Yeonsoo Kim ◽  
Bernd Burgstaller ◽  
...  

Author(s):  
Siddharth Krishna ◽  
Michael Emmi ◽  
Constantin Enea ◽  
Dejan Jovanović

AbstractMultithreaded programs generally leverage efficient and thread-safe concurrent objects like sets, key-value maps, and queues. While some concurrent-object operations are designed to behave atomically, each witnessing the atomic effects of predecessors in a linearization order, others forego such strong consistency to avoid complex control and synchronization bottlenecks. For example, contains (value) methods of key-value maps may iterate through key-value entries without blocking concurrent updates, to avoid unwanted performance bottlenecks, and consequently overlook the effects of some linearization-order predecessors. While such weakly-consistent operations may not be atomic, they still offer guarantees, e.g., only observing values that have been present.In this work we develop a methodology for proving that concurrent object implementations adhere to weak-consistency specifications. In particular, we consider (forward) simulation-based proofs of implementations against relaxed-visibility specifications, which allow designated operations to overlook some of their linearization-order predecessors, i.e., behaving as if they never occurred. Besides annotating implementation code to identify linearization points, i.e., points at which operations’ logical effects occur, we also annotate code to identify visible operations, i.e., operations whose effects are observed; in practice this annotation can be done automatically by tracking the writers to each accessed memory location. We formalize our methodology over a general notion of transition systems, agnostic to any particular programming language or memory model, and demonstrate its application, using automated theorem provers, by verifying models of Java concurrent object implementations.


2020 ◽  
Author(s):  
Hongjin Liang ◽  
Xinyu Feng
Keyword(s):  

2020 ◽  
Vol 5 (4) ◽  
pp. 282-414
Author(s):  
Hongjin Liang ◽  
Xinyu Feng
Keyword(s):  

2019 ◽  
Vol 184 ◽  
pp. 102308
Author(s):  
Kirsten Winter ◽  
Graeme Smith ◽  
John Derrick

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