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NVMs have promising advantages (e.g., lower idle power, higher density) over the existing predominant main memory technology, DRAM. Yet, NVMs also have disadvantages (e.g., limited endurance). System architects are therefore examining…

Hardware Architecture · Computer Science 2019-03-26 Reza Salkhordeh , Onur Mutlu , Hossein Asadi

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

Finding the best way to leverage non-volatile memory (NVM) on modern database systems is still an open problem. The answer is far from trivial since the clear boundary between memory and storage present in most systems seems to be…

Databases · Computer Science 2019-08-21 Lucas Lersch , Wolfgang Lehner , Ismail Oukid

Modern hash table designs strive to minimize space while maximizing speed. The most important factor in speed is the number of cache lines accessed during updates and queries. This is especially important on PMEM, which is slower than DRAM…

Data Structures and Algorithms · Computer Science 2022-10-13 Prashant Pandey , Michael A. Bender , Alex Conway , Martín Farach-Colton , William Kuszmaul , Guido Tagliavini , Rob Johnson

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 work unifies insights from the systems and functional programming communities, in order to enable compositional reasoning about software which is nonetheless efficiently realizable in hardware. It exploits a correspondence between…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-18 Thomas Dickerson

Writing concurrent programs for shared memory multiprocessor systems is a nightmare. This hinders users to exploit the full potential of multiprocessors. STM (Software Transactional Memory) is a promising concurrent programming paradigm…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-27 Ajay Singh , Sathya Peri , G Monika , Anila Kumari

Sequence learning, prediction and replay have been proposed to constitute the universal computations performed by the neocortex. The Hierarchical Temporal Memory (HTM) algorithm realizes these forms of computation. It learns sequences in an…

Neurons and Cognition · Quantitative Biology 2022-07-21 Younes Bouhadjar , Dirk J. Wouters , Markus Diesmann , Tom Tetzlaff

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-12 Haikun Liu , Di Chen , Hai Jin , Xiaofei Liao , Bingsheng He , Kan Hu , Yu Zhang

Scalable ordered maps must ensure that range queries, which operate over many consecutive keys, provide intuitive semantics (e.g., linearizability) without degrading the performance of concurrent insertions and removals. These goals are…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-11 Matthew Rodriguez , Vitaly Aksenov , Michael Spear

Memory persistency models provide a foundation for persistent programming by specifying which (and when) writes to non-volatile memory (NVM) become persistent. Memory persistency models for the Intel-x86 and Arm architectures have been…

Programming Languages · Computer Science 2024-05-30 Vasileios Klimis , Alastair F. Donaldson , Viktor Vafeiadis , John Wickerson , Azalea Raad

Large language model (LLM) agents demonstrate strong performance in short-text contexts but often underperform in extended dialogues due to inefficient memory management. Existing approaches face a fundamental trade-off between efficiency…

Artificial Intelligence · Computer Science 2026-05-04 Xiaochen Zhao , Kaikai Wang , Xiaowen Zhang , Chen Yao , Aili Wang

Coalescing RDMA and Persistent Memory (PM) delivers high end-to-end performance for networked storage systems, which requires rethinking the design of efficient hash structures. In general, existing hashing schemes separately optimize RDMA…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-15 Xinxin Liu , Yu Hua , Rong Bai

In this paper, we study the question whether techniques employed, in a conventional system, by state-of-the-art concurrent algorithms to avoid contended hot spots are still efficient for recoverable computing in settings with Non-Volatile…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-11 Panagiota Fatourou , Nikos Giachoudis , George Mallis

Composing together the individual atomic methods of concurrent data-structures (cds) pose multiple design and consistency challenges. In this context composition provided by transactions in software transaction memory (STM) can be handy.…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-29 Sathya Peri , Ajay Singh , Archit Somani

Iterative gradient-based algorithms have been increasingly applied for the training of a broad variety of machine learning models including large neural-nets. In particular, momentum-based methods, with accelerated learning guarantees, have…

Machine Learning · Computer Science 2021-06-10 José M. Moreu , Anuradha M. Annaswamy

The three essential pillars of magnetic data storage devices are readability, writeability, and stability. However, these requirements compete as magnetic domain sizes reach the fundamental limit of single atoms and molecules. The proven…

In the modern era of multicore processors, utilizing cores is a tedious job. Synchronization and communication among processors involve high cost. Software transaction memory systems (STMs) addresses this issues and provide better…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-31 Chirag Juyal , Sandeep Kulkarni , Sweta Kumari , Sathya Peri , Archit Somani

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

At the end of Silicon roadmap, keeping the leakage power in tolerable limit and bridging the bandwidth gap between processor and memory have become some of the biggest challenges. Several promising Non-Volatile Memories (NVMs) such as,…

Cryptography and Security · Computer Science 2021-05-14 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh
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