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We present a family of safe memory reclamation schemes, Hyaline, which are fast, scalable, and transparent to the underlying lock-free data structures. Hyaline is based on reference counting - considered impractical for memory reclamation…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-04 Ruslan Nikolaev , Binoy Ravindran

In this paper, we present a universal memory reclamation scheme, Wait-Free Eras (WFE), for deleted memory blocks in wait-free concurrent data structures. WFE's key innovation is that it is completely wait-free. Although some prior…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-14 Ruslan Nikolaev , Binoy Ravindran

Memory reclamation for lock-based data structures is typically easy. However, it is a significant challenge for lock-free data structures. Automatic techniques such as garbage collection are inefficient or use locks, and non-automatic…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-05 Trevor Brown

Safe memory reclamation (SMR) algorithms suffer from a trade-off between bounding unreclaimed memory and the speed of reclamation. Hazard pointer (HP) based algorithms bound unreclaimed memory at all times, but tend to be slower than other…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-16 Ajay Singh , Trevor Brown , Ali Mashtizadeh

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 (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

Epoch based memory reclamation (EBR) is one of the most popular techniques for reclaiming memory in lock-free and optimistic locking data structures, due to its ease of use and good performance in practice. However, EBR is known to be…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-23 Daewoo Kim , Trevor Brown , Ajay Singh

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 is a critical component in almost all shared-memory, concurrent data structures and algorithms, consisting in the efficient allocation and the subsequent reclamation of shared memory resources. This paper contributes a…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-19 Manuel Pöter , Jesper Larsson Träff

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

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

Safe memory reclamation is crucial to memory safety for optimistic and lock-free concurrent data structures in non garbage collected programming languages. However, several challenges arise in designing an ideal safe memory reclamation…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-03 Ajay Singh

We propose repair pipelining, a technique that speeds up the repair performance in general erasure-coded storage. By carefully scheduling the repair of failed data in small-size units across storage nodes in a pipelined manner, repair…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-23 Xiaolu Li , Zuoru Yang , Jinhong Li , Runhui Li , Patrick P. C. Lee , Qun Huang , Yuchong Hu

We present a new technique, Safe Concurrent Optimistic Traversals (SCOT), to address a well-known problem related to optimistic traversals with classical and more recent safe memory reclamation (SMR) schemes, such as Hazard Pointers (HP),…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-10 Md Amit Hasan Arovi , Ruslan Nikolaev

Pipeline parallelism has been widely explored, but most existing schedules lack a systematic methodology. In this paper, we propose a framework to decompose pipeline schedules as repeating a building block, and show that the lifespan of the…

Machine Learning · Computer Science 2024-11-05 Penghui Qi , Xinyi Wan , Nyamdavaa Amar , Min Lin

The continuing advancement of memory technology has not only fueled a surge in performance, but also substantially exacerbate reliability challenges. Traditional solutions have primarily focused on improving the efficiency of protection…

Hardware Architecture · Computer Science 2025-09-09 Fan Li , Mimi Xie , Yanan Guo , Huize Li , Xin Xin

Mutual exclusion (ME) is a commonly used technique to handle conflicts in concurrent systems. With recent advancements in non-volatile memory technology, there is an increased focus on the problem of recoverable mutual exclusion (RME), a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-03 Sahil Dhoked , Neeraj Mittal

Generative modeling has emerged as a promising approach for crystal structure discovery. However, existing LLM-based generative models struggle with low-level atomic precision, while diffusion-based methods fall short in integrating…

Artificial Intelligence · Computer Science 2026-05-18 Yuyang Wu , Stefano Falletta , Delia McGrath , Sherry Yang

HPC systems are a critical resource for scientific research. The increased demand for computational power and memory ushers in the exascale era, in which supercomputers are designed to provide enormous computing power to meet these needs.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-11 Yehonatan Fridman , Yaniv Snir , Harel Levin , Danny Hendler , Hagit Attiya , Gal Oren

The Euclidean Shortest Path Problem (ESPP), which involves finding the shortest path in a Euclidean plane with polygonal obstacles, is a classic problem with numerous real-world applications. The current state-of-the-art solution, Euclidean…

Databases · Computer Science 2024-08-22 Jinchun Du , Bojie Shen , Muhammad Aamir Cheema
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