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A powerful tool for designing complex concurrent programs is through composition with object implementations from lower-level primitives. Strongly-linearizable implementations allow to preserve hyper-properties, e.g., probabilistic…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-22 Hagit Attiya , Armando Castañeda , Constantin Enea

Herlihy's wait-free consensus hierarchy classifies the power of object types in asynchronous shared memory systems where processes can permanently crash (i.e. stop taking steps). In this hierarchy, a type has consensus number $n$ if objects…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-09 Sean Ovens

Herlihy's consensus hierarchy ranks the power of various synchronization primitives for solving consensus in a model where asynchronous processes communicate through shared memory and fail by halting. This paper revisits the consensus…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-11 Wojciech Golab

This paper studies the relation between agreement and strongly linearizable implementations of various objects. This leads to new results about implementations of concurrent objects from various primitives including window registers and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-03 Hagit Attiya , Armando Castañeda , Constantin Enea

For many years, Herlihy's elegant computability based Consensus Hierarchy has been our best explanation of the relative power of various types of multiprocessor synchronization objects when used in deterministic algorithms. However, key to…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-07 Faith Ellen , Rati Gelashvili , Nir Shavit , Leqi Zhu

Contrary to common belief, a recent work by Ellen, Gelashvili, Shavit, and Zhu has shown that computability does not require multicore architectures to support "strong" synchronization instructions like compare-and-swap, as opposed to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-09 Rati Gelashvili , Idit Keidar , Alexander Spiegelman , Roger Wattenhofer

This article studies the synchronization power of AllowList and DenyList objects under the lens provided by Herlihy's consensus hierarchy. It specifies AllowList and DenyList as distributed objects and shows that while they can both be seen…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-16 Davide Frey , Mathieu Gestin , Michel Raynal

Eventually linearizable objects are novel shared memory programming constructs introduced as an analogy to eventual consistency in message-passing systems. However, their behaviors in shared memory systems are so mysterious that very little…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-29 Tong Che

In classical asynchronous distributed systems composed of a fixed number n of processes where some proportion may fail by crashing, many objects do not have a wait-free linearizable implementation (e.g. stacks, queues, etc.). It has been…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-07 Grégoire Bonin , Achour Mostéfaoui , Matthieu Perrin

The well-known randomized consensus algorithm by Aspnes and Herlihy for asynchronous shared-memory systems was proved to work, even against a strong adversary, under the assumption that the registers that it uses are atomic registers. With…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-15 Vassos Hadzilacos , Xing Hu , Sam Toueg

Nearly thirty years ago, it was shown that $\Omega(\sqrt{n})$ registers are needed to solve obstruction-free consensus among $n$ processes. This lower bound was improved to $n$ registers in 2018, which exactly matches the best upper bound.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-04 Sean Ovens

The classic Fischer, Lynch, and Paterson impossibility proof demonstrates that any deterministic protocol for consensus in either a message-passing or shared-memory system must violate at least one of termination, validity, or agreement in…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-20 James Aspnes , Shlomi Dolev , Amit Hendin

We study two fundamental problems of distributed computing, consensus and approximate agreement, through a novel approach for proving lower bounds and impossibility results, that we call the asynchronous speedup theorem. For a given…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-21 Pierre Fraigniaud , Ami Paz , Sergio Rajsbaum

All consensus hierarchies in the literature assume that we have, in addition to copies of a given object, an unbounded number of registers. But why do we really need these registers? This paper considers what would happen if one attempts to…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-04 Rati Gelashvili , Mohsen Ghaffari , Jerry Li , Nir Shavit

A natural way to measure the power of a distributed-computing model is to characterize the set of tasks that can be solved in it. %the model. In general, however, the question of whether a given task can be solved in a given model is…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-23 Carole Delporte-Gallet , Hugues Fauconnier , Eli Gafni , Petr Kuznetsov

Are (set)-consensus objects necessary? This paper answer is negative. We show that the availability of consensus objects can be replaced by restricting the set of runs we consider. In particular we concentrate of the set of runs of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-21 Eli Gafni

This paper introduces the atomic Write and Read Next ($\text{WRN}_{k}$) deterministic shared memory object, that for any $k\ge3$, is stronger than read-write registers, but is unable to implement $2$-processor consensus. In particular, it…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-28 Yehuda Afek , Eli Daian , Eli Gafni

The optimal space complexity of consensus in shared memory is a decades-old open problem. For a system of $n$ processes, no algorithm is known that uses a sublinear number of registers. However, the best known lower bound due to Fich,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-18 Rati Gelashvili

We study the ability of different shared object types to solve recoverable consensus using non-volatile shared memory in a system with crashes and recoveries. In particular, we compare the difficulty of solving recoverable consensus to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-31 Carole Delporte-Gallet , Panagiota Fatourou , Hugues Fauconnier , Eric Ruppert

Linearizability is the gold standard of correctness conditions for shared memory algorithms, and historically has been considered the practical equivalent of atomicity. However, it has been shown [1] that replacing atomic objects with…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-29 Sean Ovens , Philipp Woelfel
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