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Modern databases use dynamic search structures that store an enormous amount of data, and often serve them using multi-threaded algorithms to support the ever-increasing throughput needs. When this throughput need exceeds the capacity of…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-17 Raaghav Ravishankar , Sandeep Kulkarni , Sathya Peri , Gokarna Sharma

This paper presents the tracking approach for deriving detectably recoverable (and thus also durable) implementations of many widely-used concurrent data structures. Such data structures, satisfying detectable recovery, are appealing for…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-29 Hagit Attiya , Ohad Ben-Baruch , Panagiota Fatourou , Danny Hendler , Eleftherios Kosmas

This article aims to describe and explain the theoretical foundations of concurrent and set concurrent algorithms, considering an asynchronous shared memory system where any number of processes can crash. Verification of concurrent…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-27 Jose Damian Lopez Diaz

Near-Data-Processing (NDP) architectures present a promising way to alleviate data movement costs and can provide significant performance and energy benefits to parallel applications. Typically, NDP architectures support several NDP units,…

We present an efficient lock-free algorithm for parallel accessible hash tables with open addressing, which promises more robust performance and reliability than conventional lock-based implementations. ``Lock-free'' means that it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Hui Gao , Jan Friso Groote , Wim H. Hesselink

Rank and select are fundamental operations in succinct data structures, that is, data structures whose space consumption approaches the information-theoretic optimal. The performance of these primitives is central to the overall performance…

Data Structures and Algorithms · Computer Science 2017-06-06 Prashant Pandey , Michael A. Bender , Rob Johnson

A fundamental challenge in multi- and many-core systems is the correct execution of concurrent access to shared data. A common drawback from existing synchronization mechanisms is the loss of data locality as the shared data is transferred…

Operating Systems · Computer Science 2022-02-22 Stefan Reif , Phillip Raffeck , Luis Gerhorst , Wolfgang Schröder-Preikschat , Timo Hönig

In the shared variable model of concurrency, guarded atomic actions restrict the possible interference between processes by regions of atomic execution. The guard specifies the condition for entering an atomic region. That is a convenient…

Programming Languages · Computer Science 2025-05-28 Shucai Yao , Emil Sekerinski

In this article we present Mutable Locks, a synchronization construct with the same execution semantic of traditional locks (such as spin locks or sleep locks), but with a self-tuned optimized trade off between responsiveness---in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-02 Romolo Marotta , Davide Tiriticco , Pierangelo Di Sanzo , Alessandro Pellegrini , Bruno Ciciani , Francesco Quaglia

Recent advancements in learned index structures propose replacing existing index structures, like B-Trees, with approximate learned models. In this work, we present a unified benchmark that compares well-tuned implementations of three…

Large Language Models (LLMs) are increasingly relied upon for complex workflows, yet their ability to maintain flow of instructions remains underexplored. Existing benchmarks conflate task complexity with structural ordering, making it…

Artificial Intelligence · Computer Science 2026-01-28 Andrew Jaffe , Noah Reicin , Jinho D. Choi

This paper presents a fully coupled blockchain-assisted federated learning architecture that effectively eliminates single points of failure by decentralizing both the training and aggregation tasks across all participants. Our proposed…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-21 Huong Nguyen , Tri Nguyen , Lauri Lovén , Susanna Pirttikangas

Programming models for concurrency are optimized for dealing with nondeterminism, for example to handle asynchronously arriving events. To shield the developer from data race errors effectively, such models may prevent shared access to data…

Software Engineering · Computer Science 2014-10-24 Mischael Schill , Sebastian Nanz , Bertrand Meyer

Multicopy search structures such as log-structured merge (LSM) trees are optimized for high insert/update/delete (collectively known as upsert) performance. In such data structures, an upsert on key $k$, which adds $(k,v)$ where $v$ can be…

Programming Languages · Computer Science 2021-09-14 Nisarg Patel , Siddharth Krishna , Dennis Shasha , Thomas Wies

Geo-replicated systems provide a number of desirable properties such as globally low latency, high availability, scalability, and built-in fault tolerance. Unfortunately, programming correct applications on top of such systems has proven to…

Programming Languages · Computer Science 2025-02-27 Kartik Nagar , Prasita Mukherjee , Suresh Jagannathan

As file systems are increasingly being deployed on ever larger systems with many cores and multi-gigabytes of memory, scaling the internal data structures of file systems has taken greater importance and urgency. A doubly-linked list is a…

Data Structures and Algorithms · Computer Science 2011-12-07 Nitin Garg , Ed Zhu , Fabiano C. Botelho

This paper proposes a general framework for adding linearizable iterators to a class of data structures that implement set operations. We introduce a condition on set operations, called local consistency, which informally states that set…

Data Structures and Algorithms · Computer Science 2018-03-02 Archita Agarwal , Zhiyu Liu , Eli Rosenthal , Vikram Saraph

Scalable ordered maps must ensure that range queries, which operate over many consecutive keys, provide intuitive semantics (e.g., linearizability) without degrading the performance of concurrent insertions and removals. These goals are…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-11 Matthew Rodriguez , Vitaly Aksenov , Michael Spear

Work Stealing has been a very successful algorithm for scheduling parallel computations, and is known to achieve high performances even for computations exhibiting fine-grained parallelism. We present a variant of \ws\ that provably avoids…

Data Structures and Algorithms · Computer Science 2019-04-30 Guilherme Rito , Hervé Paulino

Previous work has shown that there are two major complexity barriers in the synthesis of fault-tolerant distributed programs: (1) generation of fault-span, the set of states reachable in the presence of faults, and (2) resolving deadlock…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-12-15 Fuad Abujarad , Borzoo Bonakdarpour , Sandeep S. Kulkarni