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Related papers: Safe Deferred Memory Reclamation with Types

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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

The proliferation of fast, dense, byte-addressable nonvolatile memory suggests that data might be kept in pointer-rich "in-memory" format across program runs and even process and system crashes. For full generality, such data requires…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-17 Wentao Cai , Haosen Wen , H. Alan Beadle , Chris Kjellqvist , Mohammad Hedayati , Michael L. Scott

Machine unlearning (MU) seeks to remove the influence of specified data from a trained model in response to privacy requests or data poisoning. While certified unlearning has been analyzed in centralized and server-orchestrated federated…

Machine Learning · Computer Science 2025-12-10 Hithem Lamri , Michail Maniatakos

In shared-memory concurrent programming, shared resources can be protected using synchronization mechanisms such as monitors or channels. The connection between these mechanisms and the resources they protect is, however, only given…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-07-07 Mischael Schill , Sebastian Nanz , Bertrand Meyer

Safe memory reclamation (SMR) algorithms are crucial for preventing use-after-free errors in optimistic data structures. SMR algorithms typically delay reclamation for safety and reclaim objects in batches for efficiency. It is difficult to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-28 Ajay Singh , Trevor Brown , Michael Spear

Content-Addressable Memory (CAM) is a powerful abstraction for building memory caches, routing tables and hazard detection logic. Without a native CAM structure available on FPGA devices, their functionality must be emulated using the…

Hardware Architecture · Computer Science 2020-04-24 Thomas B. Preußer , Monica Chiosa , Alexander Weiss , Gustavo Alonso

We tackle the problem of statically ensuring that message-passing programs never run into deadlocks. We focus on concurrent functional programs governed by context-free session types, which can express rich tree-like structures not…

Programming Languages · Computer Science 2026-02-24 Andreia Mordido , Jorge A. Pérez

Safe memory reclamation (SMR) schemes are an essential tool for lock-free data structures and concurrent programming. However, manual SMR schemes are notoriously difficult to apply correctly, and automatic schemes, such as reference…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-13 Daniel Anderson , Guy E. Blelloch , Yuanhao Wei

Memory-management support for lock-free data structures is well known to be a tough problem. Recent work has successfully reduced the overhead of such schemes. However, applying memory-management support to a data structure remains complex…

Programming Languages · Computer Science 2018-08-21 Nachshon Cohen

Despite decades of efforts to resolve, memory safety violations are still persistent and problematic in modern systems. Various defense mechanisms have been proposed, but their deployment in real systems remains challenging because of…

Hardware Architecture · Computer Science 2023-08-08 Yonghae Kim , Anurag Kar , Jaewon Lee , Jaekyu Lee , Hyesoon Kim

This work presents a decentralized allocation algorithm of safety-critical application on parallel computing architectures, where individual Computational Units can be affected by faults. The described method consists in representing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-20 Thanakorn Khamvilai , Louis Sutter , Eric Feron , Philippe Baufreton , Francois Neumann

We propose a novel, operational framework to formally describe the semantics of concurrent programs running within the context of a relaxed memory model. Our framework features a "temporary store" where the memory operations issued by the…

Programming Languages · Computer Science 2012-08-30 Gérard Boudol , Gustavo Petri , Bernard Serpette

Information flow type systems enforce the security property of noninterference by detecting unauthorized data flows at compile-time. However, they require precise type annotations, making them difficult to use in practice as much of the…

Programming Languages · Computer Science 2021-02-10 Abhishek Bichhawat , McKenna McCall , Limin Jia

Distributed algorithms that operate in the fail-recovery model rely on the state stored in stable memory to guarantee the irreversibility of operations even in the presence of failures. The performance of these algorithms lean heavily on…

Operating Systems · Computer Science 2020-02-19 William B. Mingardi , Gustavo M. D. Vieira

The development of artificial intelligence demands that models incrementally update knowledge by Continual Learning (CL) to adapt to open-world environments. To meet privacy and security requirements, Continual Unlearning (CU) emerges as an…

We present a type-based analysis ensuring memory safety and object protocol completion in the Java-like language Mungo. Objects are annotated with usages, typestates-like specifications of the admissible sequences of method calls. The…

Safe lock-free memory reclamation is a difficult problem. Existing solutions follow three basic methods (or their combinations): epoch based reclamation, hazard pointers, and optimistic reclamation. Epoch-based methods are fast, but do not…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-30 Gali Sheffi , Maurice Herlihy , Erez Petrank

Safe memory reclamation techniques that utilize per read reservations, such as hazard pointers, often cause significant overhead in traversals of linked concurrent data structures. This is primarily due to the need to announce a…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-05 Ajay Singh , Trevor Brown

The memory model is the crux of the concurrency semantics of shared-memory systems. It defines the possible values that a read operation is allowed to return for any given set of write operations performed by a concurrent program, thereby…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-14 Manuel Pöter , Jesper Larsson Träff

We propose a memory-model-aware static program analysis method for accurately analyzing the behavior of concurrent software running on processors with weak consistency models such as x86-TSO, SPARC-PSO, and SPARC-RMO. At the center of our…

Programming Languages · Computer Science 2017-09-29 Markus Kusano , Chao Wang