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Related papers: Persistence and Synchronization: Friends or Foes?

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Existing disk-based database systems largely fall into two categories -- they either provide very high performance but few guarantees, or expose the transaction abstraction satisfying the full ACID guarantees at the cost of lower…

Databases · Computer Science 2021-10-05 Yun-Sheng Chang , Yu-Fang Chen , Hsiang-Shang Ko

The advent of non-volatile main memory (NVM) enables the development of crash-consistent software without paying storage stack overhead. However, building a correct crash-consistent program remains very challenging in the presence of a…

Software Engineering · Computer Science 2020-12-14 Xinwei Fu , Wook-Hee Kim , Ajay Paddayuru Shreepathi , Mohannad Ismail , Sunny Wadkar , Changwoo Min , Dongyoon Lee

Non-volatile Memory (NVM) could bridge the gap between memory and storage. However, NVMs are susceptible to data remanence attacks. Thus, multiple security metadata must persist along with the data to protect the confidentiality and…

Hardware Architecture · Computer Science 2024-07-15 Rajat Jain , Aravinda Prasad , Sreenivas Subramoney , Arkaprava Basu

Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Operating systems (OS) play an important role in enabling the…

Operating Systems · Computer Science 2023-10-06 Shivank Garg , Aravinda Prasad , Debadatta Mishra , Sreenivas Subramoney

Synchronous Mirroring (SM) is a standard approach to building highly-available and fault-tolerant enterprise storage systems. SM ensures strong data consistency by maintaining multiple exact data replicas and synchronously propagating every…

The Software Transactional Memory (STM) model is an original approach for controlling concurrent accesses to ressources without the need for explicit lock-based synchronization mechanisms. A key feature of STM is to provide a way to group…

Logic in Computer Science · Computer Science 2007-05-23 Lucia Acciai , Michele Boreale , Silvano Dal Zilio

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

A database system optimized for in-memory storage can support much higher transaction rates than current systems. However, standard concurrency control methods used today do not scale to the high transaction rates achievable by such…

Databases · Computer Science 2012-01-04 Per-Åke Larson , Spyros Blanas , Cristian Diaconu , Craig Freedman , Jignesh M. Patel , Mike Zwilling

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

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

The memory demand of virtual machines (VMs) is increasing, while DRAM has limited capacity and high power consumption. Non-volatile memory (NVM) is an alternative to DRAM, but it has high latency and low bandwidth. We observe that the VM…

Operating Systems · Computer Science 2022-09-28 Sai sha , Chuandong Li , Yingwei Luo , Xiaolin Wang , Zhenlin Wang

Neuromorphic computing with non-volatile memory (NVM) can significantly improve performance and lower energy consumption of machine learning tasks implemented using spike-based computations and bio-inspired learning algorithms. High…

Neural and Evolutionary Computing · Computer Science 2020-07-07 Shihao Song , Anup Das

Modern Operating Systems are typically POSIX-compliant. The system calls are the fundamental layer of interaction between user-space applications and the OS kernel and its implementation of fundamental abstractions and primitives used in…

Operating Systems · Computer Science 2017-12-25 Vyacheslav Dubeyko , Cyril Guyot , Luis Cargnini , Adam Manzanares

Phase-change memory (PCM) is a scalable and low latency non-volatile memory (NVM) technology that has been proposed to serve as storage class memory (SCM), providing low access latency similar to DRAM and often approaching or exceeding the…

Hardware Architecture · Computer Science 2020-12-01 Shihao Song , Anup Das

Weak memory models provide a complex, system-centric semantics for concurrent programs, while transactional memory (TM) provides a simpler, programmer-centric semantics. Both have been studied in detail, but their combined semantics is not…

Programming Languages · Computer Science 2018-04-18 Nathan Chong , Tyler Sorensen , John Wickerson

The emerging hybrid DRAM-NVM architecture is challenging the existing memory management mechanism in operating system. In this paper, we introduce memos, which can schedule memory resources over the entire memory hierarchy including cache,…

Operating Systems · Computer Science 2017-03-23 Lei Liu , Mengyao Xie , Hao Yang

Computing-in-Memory (CiM) architectures based on emerging non-volatile memory (NVM) devices have demonstrated great potential for deep neural network (DNN) acceleration thanks to their high energy efficiency. However, NVM devices suffer…

Hardware Architecture · Computer Science 2022-07-26 Zheyu Yan , Xiaobo Sharon Hu , Yiyu Shi

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

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

With the emergence of Non-Volatile Memories (NVMs) and their shortcomings such as limited endurance and high power consumption in write requests, several studies have suggested hybrid memory architecture employing both Dynamic Random Access…

Operating Systems · Computer Science 2018-05-08 Reza Salkhordeh , Hossein Asadi