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Persistent memory (PM) is an emerging class of storage technology that combines the benefits of DRAM and SSD. This characteristic inspires research on persistent objects in PM with fine-grained concurrency control. Among such objects,…

Programming Languages · Computer Science 2022-03-16 Kyeongmin Cho , Seungmin Jeon , Jeehoon Kang

Existing tracking methods mainly focus on learning better target representation or developing more robust prediction models to improve tracking performance. While tracking performance has significantly improved, the target loss issue occurs…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Yuqing Huang , Xin Li , Zikun Zhou , Yaowei Wang , Zhenyu He , Ming-Hsuan Yang

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

The recent availability of fast, dense, byte-addressable non-volatile memory has led to increasing interest in the problem of designing and specifying durable data structures that can recover from system crashes. However, designing durable…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-29 Michal Friedman , Naama Ben-David , Yuanhao Wei , Guy E. Blelloch , Erez Petrank

Flat combining (FC) is a synchronization paradigm in which a single thread, holding a global lock, collects requests by multiple threads for accessing a concurrent data structure and applies their combined requests to it. Although FC is…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-10 Matan Rusanovsky , Hagit Attiya , Ohad Ben-Baruch , Tom Gerby , Danny Hendler , Pedro Ramalhete

Block traces are widely used for system studies, model verifications, and design analyses in both industry and academia. While such traces include detailed block access patterns, existing trace-driven research unfortunately often fails to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 Miryeong Kwon , Jie Zhang , Gyuyoung Park , Wonil Choi , David Donofrio , John Shalf , Mahmut Kandemir , Myoungsoo Jung

Recoverable algorithms tolerate failures and recoveries of processes by using non-volatile memory. Of particular interest are self-implementations of key operations, in which a recoverable operation is implemented from its non-recoverable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-08 Tomer Lev Lehman , Hagit Attiya , Danny Hendler

Backtracking (i.e., reverse execution) helps the user of a debugger to naturally think backwards along the execution path of a program, and thinking backwards makes it easy to locate the origin of a bug. So far backtracking has been…

Programming Languages · Computer Science 2013-09-23 Jooyong Yi

Reconstructing the trajectories of charged particles in high-energy collisions requires high precision to ensure reliable event reconstruction and accurate downstream physics analyses. In particular, both precise hit selection and…

High Energy Physics - Experiment · Physics 2026-04-27 Andrea Coccaro , Francesco Armando Di Bello , Lucrezia Rambelli , Stefano Rosati , Carlo Schiavi

Linearizability, the traditional correctness condition for concurrent data structures is considered insufficient for the non-volatile shared memory model where processes recover following a crash. For this crash-recovery shared memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-08 Ohad Ben-Baruch , Srivatsan Ravi

Non-volatile memory (NVM) promises persistent main memory that remains correct despite loss of power. This has sparked a line of research into algorithms that can recover from a system crash. Since caches are expected to remain volatile,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-22 Naama Ben-David , Guy E. Blelloch , Michal Friedman , Yuanhao Wei

Concurrent data structures are the data sharing side of parallel programming. Data structures give the means to the program to store data, but also provide operations to the program to access and manipulate these data. These operations are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-13 Daniel Cederman , Anders Gidenstam , Phuong Ha , Håkan Sundell , Marina Papatriantafilou , Philippas Tsigas

We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh…

We present a fully lock-free variant of the recent Montage system for persistent data structures. Our variant, nbMontage, adds persistence to almost any nonblocking concurrent structure without introducing significant overhead or blocking…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Wentao Cai , Haosen Wen , Vladimir Maksimovski , Mingzhe Du , Rafaello Sanna , Shreif Abdallah , Michael L. Scott

Modern business applications and scientific databases call for inherently dynamic data storage environments. Such environments are characterized by two challenging features: (a) they have little idle system time to devote on physical…

Databases · Computer Science 2012-03-02 Felix Halim , Stratos Idreos , Panagiotis Karras , Roland H. C. Yap

DGCC protocol has been shown to achieve good performance on multi-core in-memory system. However, distributed transactions complicate the dependency resolution, and therefore, an effective transaction partitioning strategy is essential to…

Databases · Computer Science 2017-03-09 Chang Yao , Meihui Zhang , Qian Lin , Beng Chin Ooi , Jiatao Xu

Even though computational reproducibility is widely accepted as necessary for research validation and reuse, it is often not considered during the research process. This is because reproducibility tools are typically stand-alone and require…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-04 Ana Trisovic , Chris R. Jones , Ben Couturier , Marco Clemencic

A core task in process mining is process discovery which aims to learn an accurate process model from event log data. In this paper, we propose to use (block-) structured programs directly as target process models so as to establish…

Artificial Intelligence · Computer Science 2020-08-14 Dell Zhang , Alexander Kuhnle , Julian Richardson , Murat Sensoy

Verification of concurrent data structures is one of the most challenging tasks in software verification. The topic has received considerable attention over the course of the last decade. Nevertheless, human-driven techniques remain…

Programming Languages · Computer Science 2018-11-12 Roland Meyer , Sebastian Wolff

Building a library of concurrent data structures is an essential way to simplify the difficult task of developing concurrent software. Lock-free data structures, in which processes can help one another to complete operations, offer the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-18 Trevor Brown
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