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State-of-the-art \emph{software transactional memory (STM)} implementations achieve good performance by carefully avoiding the overhead of \emph{incremental validation} (i.e., re-reading previously read data items to avoid inconsistency)…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-08 Trevor Brown , Srivatsan Ravi

Emerging Persistent Memory technologies (also PM, Non-Volatile DIMMs, Storage Class Memory or SCM) hold tremendous promise for accelerating popular data-management applications like in-memory databases. However, programmers now need to deal…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-05 Ellis Giles , Kshitij Doshi , Peter Varman

Hardware Transactional Memory (HTM) allows lock-free programming as easy as with traditional coarse-grain locks or similar, while benefiting from the performance advantages of fine-grained locking. Many HTM implementations have been…

Hardware Architecture · Computer Science 2025-10-21 Konstantinos Kafousis

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

Modern heterogeneous computing architectures, which couple multi-core CPUs with discrete many-core GPUs (or other specialized hardware accelerators), enable unprecedented peak performance and energy efficiency levels. Unfortunately, though,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-20 Daniel Castro , Paolo Romano , Aleksandar Ilic , Amin M. Khan

The crux of software transactional memory (STM) is to combine an easy-to-use programming interface with an efficient utilization of the concurrent-computing abilities provided by modern machines. But does this combination come with an…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-28 Petr Kuznetsov , Srivatsan Ravi

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

Transactional memory (TM) is a convenient synchronization tool that allows concurrent threads to declare sequences of instructions on shared data as speculative \emph{transactions} with "all-or-nothing" semantics. It is known that dynamic…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-18 Petr Kuznetsov , Srivatsan Ravi

The hardware transactional memory (HTM) implementations in commercially available processors are significantly hindered by their tight capacity constraints. In practice, this renders current HTMs unsuitable to many real-world workloads of…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-09 Ricardo Filipe , Shady Issa , Paolo Romano , João Barreto

Traditional techniques for synchronization are based on \emph{locking} that provides threads with exclusive access to shared data. \emph{Coarse-grained} locking typically forces threads to access large amounts of data sequentially and,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-06 Srivatsan Ravi

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 (TM) is an inherently optimistic abstraction: it allows concurrent processes to execute sequences of shared-data accesses (transactions) speculatively, with an option of aborting them in the future. Early TM designs…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Petr Kuznetsov , Srivatsan Ravi

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

This paper presents a survey of the currently available hardware designs for implementation of the human cortex inspired algorithm, Hierarchical Temporal Memory (HTM). In this review, we focus on the state of the art advances of memristive…

Hardware Architecture · Computer Science 2018-05-09 Olga Krestinskaya , Irina Dolzhikova , Alex Pappachen James

Big data is a buzzword used to describe massive volumes of data that provides opportunities of exploring new insights through data analytics. However, big data is mostly structured but can be semi-structured or unstructured. It is normally…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-06 Mohammad Qayum , Abdel-Hameed Badawy , Jeanine Cook

This paper summarizes our work on characterizing application memory error vulnerability to optimize datacenter cost via Heterogeneous-Reliability Memory (HRM), which was published in DSN 2014, and examines the work's significance and future…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-11 Yixin Luo , Sriram Govindan , Bikash Sharma , Mark Santaniello , Justin Meza , Aman Kansal , Jie Liu , Badriddine Khessib , Kushagra Vaid , Onur Mutlu

This paper introduces mathematical formalism for Spatial (SP) of Hierarchical Temporal Memory (HTM) with a spacial consideration for its hardware implementation. Performance of HTM network and its ability to learn and adjust to a problem at…

Artificial Intelligence · Computer Science 2016-07-05 M. Pietron , M. Wielgosz , K. Wiatr

We propose Hybrid Transactional Replication (HTR), a novel replication scheme for highly dependable services. It combines two schemes: a transaction is executed either optimistically by only one service replica in the deferred update mode…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-26 Tadeusz Kobus , Maciej Kokociński , Paweł T. Wojciechowski

Transactional memory (TM) has emerged as a promising abstraction for concurrent programming alternative to lock-based synchronizations. However, most TM models admit only isolated transactions, which are not adequate in multi-threaded…

Programming Languages · Computer Science 2016-02-18 Marino Miculan , Marco Peressotti

Software Transactional Memory (STM) is an extensively studied paradigm that provides an easy-to-use mechanism for thread safety and concurrency control. With the recent advent of byte-addressable persistent memory, a natural question to ask…

Programming Languages · Computer Science 2023-12-22 Azalea Raad , Ori Lahav , John Wickerson , Piotr Balcer , Brijesh Dongol
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