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In this paper we provide a high performance solution to the problem of committing transactions while enforcing a predefined order. We provide the design and implementation of three algorithms, which deploy a specialized cooperative…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-17 Mohamed M. Saad , Masoomeh Javidi Kishi , Shihao Jing , Sandeep Hans , Roberto Palmieri

Transactional memory (TM) allows concurrent processes to organize sequences of operations on shared \emph{data items} into atomic transactions. A transaction may commit, in which case it appears to have executed sequentially or it may…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-16 Petr Kuznetsov , Srivatsan Ravi

In this paper we present a novel algorithm for concurrent lock-free internal binary search trees (BST) and implement a Set abstract data type (ADT) based on that. We show that in the presented lock-free BST algorithm the amortized step…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-12 Bapi Chatterjee , Nhan Nguyen , Philippas Tsigas

Emerging non-volatile memory (NVM) technologies promise memory speed byte-addressable persistent storage with a load/store interface. However, programming applications to directly manipulate NVM data is complex and error-prone. Applications…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-01 Pradeep Fernando , Irina Calciu , Jayneel Gandhi , Aasheesh Kolli , Ada Gavrilovska

Transactional memory has arisen as a good way for solving many of the issues of lock-based programming. However, most implementations admit isolated transactions only, which are not adequate when we have to coordinate communicating…

Programming Languages · Computer Science 2015-05-14 Marino Miculan , Marco Peressotti , Andrea Toneguzzo

Datastores today rely on distribution and replication to achieve improved performance and fault-tolerance. But correctness of many applications depends on strong consistency properties - something that can impose substantial overheads,…

Databases · Computer Science 2015-01-21 Sudip Roy , Lucja Kot , Gabriel Bender , Bailu Ding , Hossein Hojjat , Christoph Koch , Nate Foster , Johannes Gehrke

Algorithms that use hardware transactional memory (HTM) must provide a software-only fallback path to guarantee progress. The design of the fallback path can have a profound impact on performance. If the fallback path is allowed to run…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-17 Trevor Brown

Processing-In-Memory (PIM) is a novel approach that augments existing DRAM memory chips with lightweight logic. By allowing to offload computations to the PIM system, this architecture allows for circumventing the data-bottleneck problem…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-18 André Lopes , Daniel Castro , Paolo Romano

Causal consistency is an attractive consistency model for replicated data stores. It is provably the strongest model that tolerates partitions, it avoids the long latencies associated with strong consistency, and, especially when using…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-13 Diego Didona , Rachid Guerraoui , Jingjing Wang , Willy Zwaenepoel

We present the SC-ABD algorithm that implements sequentially consistent distributed shared memory (DSM). The algorithm tolerates that less than half of the processes are faulty (crash-stop). Compared to the multi-writer ABD algorithm,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-09 Niklas Ekström , Seif Haridi

Modern distributed databases face challenges in achieving transactional consistency across distributed partitions. Traditional two-phase commit (2PC) protocols incur high coordination overhead and latency, and require complex recovery for…

Databases · Computer Science 2026-03-03 Quanqing Xu , Chen Qian , Chuanhui Yang , Fanyu Kong , Guixiang Liu , Fusheng Han , Zixiang Zhai

Utilizing hardware transactional memory (HTM) in conjunction with non-volatile memory (NVM) to achieve persistence is quite difficult and somewhat awkward due to the fact that the primitives utilized to write data to NVM will abort HTM…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-23 Gaetano Coccimiglio , Trevor Brown , Srivatsan Ravi

The scaling of Large Multimodal Models (LMMs) is constrained by the quality-quantity trade-off inherent in synthetic data. Previous approaches, such as LLM-as-a-Judge, have proven their effectiveness in addressing this but suffer from…

Artificial Intelligence · Computer Science 2026-05-11 Jinhao Jing , Qiannian Zhao , Chao Huang , Zhan Su

Transaction Memory (TM) is a concurrency control abstraction that allows the programmer to specify blocks of code to be executed atomically as transactions. However, since transactional code can contain just about any operation attention…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-28 Konrad Siek , Paweł T. Wojciechowski

Modern data stores achieve scalability by partitioning data into shards and fault-tolerance by replicating each shard across several servers. A key component of such systems is a Transaction Certification Service (TCS), which atomically…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-05 Manuel Bravo , Alexey Gotsman

This paper proposes a novel higher-order multi-scale (HOMS) computational method, which is highly targeted for efficient, high-accuracy and low-computational-cost simulation of hygro-thermo-mechanical (H-T-M) coupling problems in…

Numerical Analysis · Mathematics 2025-12-11 Hao Dong , Yifei Ding , Jiale Linghu , Yufeng Nie , Yaochuang Han

Hardware accelerators are key to the efficiency and performance of system-on-chip (SoC) architectures. With high-level synthesis (HLS), designers can easily obtain several performance-cost trade-off implementations for each component of a…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-24 Luca Piccolboni , Paolo Mantovani , Giuseppe Di Guglielmo , Luca P. Carloni

Byte-addressable persistent memory, such as Intel/Micron 3D XPoint, is an emerging technology that bridges the gap between volatile memory and persistent storage. Data in persistent memory survives crashes and restarts; however, it is…

Programming Languages · Computer Science 2020-04-22 Kaan Genç , Michael D. Bond , Guoqing Harry Xu

Non-volatile memory (NVM), aka persistent memory, is a new paradigm for memory that preserves its contents even after power loss. The expected ubiquity of NVM has stimulated interest in the design of novel concepts ensuring correctness of…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-20 Eleni Bila , Simon Doherty , Brijesh Dongol , John Derrick , Gerhard Schellhorn , Heike Wehrheim

In this paper we are interested in bounding the number of instructions taken to process transactions. The main result is a multiversion transactional system that supports constant delay (extra instructions beyond running in isolation) for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-17 Naama Ben-David , Guy E. Blelloch , Yihan Sun , Yuanhao Wei