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We present Stamp-it, a new, concurrent, lock-less memory reclamation scheme with amortized, constant-time (thread-count independent) reclamation overhead. Stamp-it has been implemented and proved correct in the C++ memory model using as…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-23 Manuel Pöter , Jesper Larsson Träff

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

Common resource management methods in supercomputing systems usually include hard divisions, capping, and quota allotment. Those methods, despite their 'advantages', have some known serious disadvantages including unoptimized utilization of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-26 Kfir Zvi , Gal Oren

Mutual exclusion (ME) is one of the most commonly used techniques to handle conflicts in concurrent systems. Traditionally, mutual exclusion algorithms have been designed under the assumption that a process does not fail while…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-04 Sahil Dhoked , Neeraj Mittal

Deadlocks occur in concurrent programs as a consequence of cyclic resource acquisition between threads. In this paper we present a novel type system that guarantees deadlock freedom for a language with references, unstructured locking…

Programming Languages · Computer Science 2011-10-20 Prodromos Gerakios , Nikolaos Papaspyrou , Konstantinos Sagonas

We present an efficient and practical lock-free implementation of a concurrent deque that is disjoint-parallel accessible and uses atomic primitives which are available in modern computer systems. Previously known lock-free algorithms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Håkan Sundell , Philippas Tsigas

Priority queues are abstract data structures which store a set of key/value pairs and allow efficient access to the item with the minimal (maximal) key. Such queues are an important element in various areas of computer science such as…

Data Structures and Algorithms · Computer Science 2015-09-24 Jakob Gruber

The consequences of data races can be potentially very problematic [1], and it is important to determine what tools and methods are best at detecting them. The following conditions must be met for a data race to occur: two or more threads…

Databases · Computer Science 2022-06-22 Danial Entezari

Replication ensures data availability in fault-prone distributed systems. The celebrated CAP theorem stipulates that replicas cannot guarantee both strong consistency and availability under network partitions. A popular alternative, adopted…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-22 Petr Kuznetsov , Maxence Perion , Sara Tucci-Piergiovanni

Concurrent and parallel programming is difficult due to the presence of memory side-effects, which may introduce data races. Type qualifiers, such as reference capabilities, can remove data races by restricting sharing of mutable data.…

Programming Languages · Computer Science 2019-10-16 Kiko Fernandez-Reyes , Isaac Oscar Gariano , James Noble , Tobias Wrigstad

Data races are a notorious problem in parallel programming. There has been great research interest in type systems that statically prevent data races. Despite the progress in the safety and usability of these systems, lots of existing…

Programming Languages · Computer Science 2023-09-15 Yichen Xu , Aleksander Boruch-Gruszecki , Martin Odersky

Concurrency has been a subject of study for more than 50 years. Still, many developers struggle to adapt their sequential code to be accessed concurrently. This need has pushed for generic solutions and specific concurrent data structures.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-06 Andreia Correia , Pedro Ramalhete , Pascal Felber

Continual relation extraction (CRE) aims to continually learn new relations from a class-incremental data stream. CRE model usually suffers from catastrophic forgetting problem, i.e., the performance of old relations seriously degrades when…

Computation and Language · Computer Science 2022-10-11 Peiyi Wang , Yifan Song , Tianyu Liu , Binghuai Lin , Yunbo Cao , Sujian Li , Zhifang Sui

Rollback recovery strategies are well-known in concurrent and distributed systems. In this context, recovering from unexpected failures is even more relevant given the non-deterministic nature of execution, which means that it is…

Programming Languages · Computer Science 2024-01-08 Germán Vidal

Persistent memory provides high-performance data persistence at main memory. Memory writes need to be performed in strict order to satisfy storage consistency requirements and enable correct recovery from system crashes. Unfortunately,…

Hardware Architecture · Computer Science 2017-05-11 Youyou Lu , Jiwu Shu , Long Sun , Onur Mutlu

Cumulative constraints are central in scheduling with constraint programming, yet propagation is typically performed per constraint, missing multi-resource interactions and causing severe slowdowns on some benchmarks. I present a…

Artificial Intelligence · Computer Science 2026-02-18 Konstantin Sidorov

Temporal gates play a significant role in modern recurrent-based neural encoders, enabling fine-grained control over recursive compositional operations over time. In recurrent models such as the long short-term memory (LSTM), temporal gates…

Computation and Language · Computer Science 2017-11-22 Yi Tay , Luu Anh Tuan , Siu Cheung Hui

The \emph{Order-Maintenance} (OM) data structure maintains a total order list of items for insertions, deletions, and comparisons. As a basic data structure, OM has many applications, such as maintaining the topological order, core numbers,…

Data Structures and Algorithms · Computer Science 2024-10-15 Bin Guo , Emil Sekerinski

Adjoint algorithmic differentiation by operator and function overloading is based on the interpretation of directed acyclic graphs resulting from evaluations of numerical simulation programs. The size of the computer system memory required…

Mathematical Software · Computer Science 2022-07-15 Uwe Naumann

Linear attention replaces the unbounded cache of softmax attention with a fixed-size recurrent state, reducing sequence mixing to linear time and decoding to constant memory. The hard part is not just what to forget, but how to edit this…

Artificial Intelligence · Computer Science 2026-05-22 Ali Hatamizadeh , Yejin Choi , Jan Kautz