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Related papers: A Wait-Free Universal Construct for Large Objects

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In this paper, we propose a generic concurrent directed graph (for shared memory architecture) that is concurrently being updated by threads adding/deleting vertices and edges. The graph is constructed by the composition of the well known…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Sathya Peri , Muktikanta Sa , Nandini Singhal

This paper considers the modeling and the analysis of the performance of lock-free concurrent data structures. Lock-free designs employ an optimistic conflict control mechanism, allowing several processes to access the shared data object at…

Data Structures and Algorithms · Computer Science 2015-08-17 Aras Atalar , Paul Renaud-Goud , Philippas Tsigas

CXL (Compute Express Link) is an emerging open industry-standard interconnect between processing and memory devices that is expected to revolutionize the way systems are designed. It enables cache-coherent, shared memory pools in a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-27 Gal Assa , Moritz Lumme , Lucas Bürgi , Michal Friedman , Ori Lahav

Work-stealing is a widely used technique for balancing irregular parallel workloads, and most modern runtime systems adopt lock-free work-stealing deques to reduce contention and improve scalability. However, existing algorithms are…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-09 Raja Sai Nandhan Yadav Kataru , Danial Davarnia , Ali Jannesari

To implement a linearizable shared memory in synchronous message-passing systems it is necessary to wait for a time linear to the uncertainty in the latency of the network for both read and write operations. Waiting only for one of them…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-28 Matthieu Perrin , Matoula Petrolia , Achour Mostefaoui , Claude Jard

Modern distributed systems employ atomic read-modify-write primitives to coordinate concurrent operations. Such primitives are typically built on top of a central server, or rely on an agreement protocol. Both approaches provide a universal…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-22 Pierre Sutra , Etienne Rivière , Pascal Felber

We show how to extend classical work-stealing to deal also with data parallel tasks that can require any number of threads r >= 1 for their execution. We explain in detail the so introduced idea of work-stealing with deterministic…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-12-23 Martin Wimmer , Jesper Larsson Träff

In applications such as sharded data processing systems, sharded in-memory key-value stores, data flow programming and load sharing applications, multiple concurrent data producers are feeding requests into the same data consumer. This can…

Databases · Computer Science 2020-11-03 Dolev Adas , Roy Friedman

We introduce GCAS, a natural generalization of the well-known compare-and-swap (CAS) object. Intuitively, GCAS just replaces the fixed equality test of CAS with a parametrized comparator chosen from $\{<, =, >\}$. To showcase the utility of…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-20 Vassos Hadzilacos , Myles Thiessen , Sam Toueg

Shared registers are basic objects used as communication mediums in asynchronous concurrent computation. A concurrent timestamp system is a higher typed communication object, and has been shown to be a powerful tool to solve many…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Sibsankar Haldar , Paul Vitanyi

Concurrent linearizable access to shared objects can be prohibitively expensive in a high contention workload. Many applications apply ad-hoc techniques to eliminate the need of synchronous atomic updates, which may result in…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-11 Deepthi Devaki Akkoorath , José Brandão , Annette Bieniusa , Carlos Baquero

Lock-free concurrent algorithms guarantee that some concurrent operation will always make progress in a finite number of steps. Yet programmers prefer to treat concurrent code as if it were wait-free, guaranteeing that all operations always…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-18 Dan Alistarh , Keren Censor-Hillel , Nir Shavit

There are two intertwined factors that affect performance of concurrent data structures: the ability of processes to access the data in parallel and the cost of synchronization. It has been observed that for a large class of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-10 Vitaly Aksenov , Petr Kuznetsov

Real-time and cyber-physical systems need to interact with and respond to their physical environment in a predictable time. While multicore platforms provide incredible computational power and throughput, they also introduce new sources of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-29 Ayoosh Bansal , Jayati Singh , Yifan Hao , Jen-Yang Wen , Renato Mancuso , Marco Caccamo

Developing parallel algorithms efficiently requires careful management of concurrency across diverse hardware architectures. C++ executors provide a standardized interface that simplifies the development process, allowing developers to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-22 Karame Mohammadiporshokooh , Steven R. Brandt , Hartmut Kaiser

This paper presents an efficient wait-free resizable hash table. To achieve high throughput at large core counts, our algorithm is specifically designed to retain the natural parallelism of concurrent hashing, while providing wait-free…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-21 Panagiota Fatourou , Nikolaos D. Kallimanis , Thomas Ropars

The need for scalable concurrent ordered set data structures with linearizable range query support is increasing due to the rise of multicore computers, data processing platforms and in-memory databases. This paper presents a new concurrent…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-05 Kjell Winblad

Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-18 Paul Cardosi , Bérenger Bramas

Concurrent data structures often require additional memory for handling synchronization issues in addition to memory for storing elements. Depending on the amount of this additional memory, implementations can be more or less…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-17 Vitaly Aksenov , Nikita Koval , Petr Kuznetsov , Anton Paramonov

At the allocation and deallocation of small objects with fixed size, the standard allocator of the runtime system has commonly a worse time performance compared to allocators adapted for a special application field. We propose a memory…

Programming Languages · Computer Science 2016-11-09 Christian Schuessler , Roland Gruber