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RDMA is vital for efficient distributed training across datacenters, but millisecond-scale latencies complicate the design of its reliability layer. We show that depending on long-haul link characteristics, such as drop rate, distance and…

Persistence of updates to remote byte-addressable persistent memory (PM), using RDMA operations (RDMA updates), is a poorly understood subject. Visibility of RDMA updates on the remote server is not the same as persistence of those updates.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-06 Sanidhya Kashyap , Dai Qin , Steve Byan , Virendra J. Marathe , Sanketh Nalli

Today's datacenter applications are underpinned by datastores that are responsible for providing availability, consistency, and performance. For high availability in the presence of failures, these datastores replicate data across several…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-28 A. Katsarakis , V. Gavrielatos , M. Katebzadeh , A. Joshi , A. Dragojevic , B. Grot , V. Nagarajan

Remote direct memory access (RDMA) allows a machine to directly read from and write to the memory of remote machine, enabling high-throughput, low-latency data transfer. Ensuring correctness of RDMA programs has only recently become…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Guillaume Ambal , Max Stupple , Brijesh Dongol , Azalea Raad

State-space models (SSMs) have recently attention as an efficient alternative to computationally expensive attention-based models for sequence modeling. They rely on linear recurrences to integrate information over time, enabling fast…

Machine Learning · Computer Science 2026-01-01 Mahdi Karami , Ali Behrouz , Peilin Zhong , Razvan Pascanu , Vahab Mirrokni

RDMA is an exciting technology that enables a host to access the memory of a remote host without involving the remote CPU. Prior work shows how to use RDMA to improve the performance of distributed in-memory storage systems. However, RDMA…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-08 Stanko Novakovic , Yizhou Shan , Aasheesh Kolli , Michael Cui , Yiying Zhang , Haggai Eran , Liran Liss , Michael Wei , Dan Tsafrir , Marcos Aguilera

Remote Direct Memory Access (RDMA) is a technology that allows direct memory access from the memory of one computer into that of another without involving either one's operating system. This enables high-throughput, low-latency networking,…

Logic in Computer Science · Computer Science 2026-05-12 Parosh Aziz Abdulla , Mohamed Faouzi Atig , Govind Rajanbabu , Stephan Spengler

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

Persistent Memory (PM) technologies enable program recovery to a consistent state in a case of failure. To ensure this crash-consistent behavior, programs need to enforce persist ordering by employing mechanisms, such as logging and…

Computational Engineering, Finance, and Science · Computer Science 2023-04-03 Yasas Seneviratne , Korakit Seemakhupt , Sihang Liu , Samira Khan

Remote Direct Memory Access (RDMA) is an efficient way to improve the performance of traditional client-server systems. Currently, there are two main design paradigms for RDMA-accelerated systems. The first allows the clients to directly…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-25 Maomeng Su , Mingxing Zhang , Kang Chen , Yongwei Wu , Guoliang Li

Despite the promising performance of state space models (SSMs) in long sequence modeling, limitations still exist. Advanced SSMs like S5 and S6 (Mamba) in addressing non-uniform sampling, their recursive structures impede efficient SSM…

Machine Learning · Computer Science 2024-06-11 Biqing Qi , Junqi Gao , Kaiyan Zhang , Dong Li , Jianxing Liu , Ligang Wu , Bowen Zhou

State-space models (SSMs) face a fundamental trade-off between efficiency and expressivity that is mainly dictated by the structure of the model's transition matrix. Unstructured transition matrices enable maximal expressivity, as measured…

The byte-addressable Non-Volatile Memory (NVM) is a promising technology since it simultaneously provides DRAM-like performance, disk-like capacity, and persistency. The current NVM deployment is symmetric, where NVM devices are directly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-31 Teng Ma , Mingxing Zhang , Kang Chen , Xuehai Qian , Yongwei Wu

Remote Direct Memory Access (RDMA) is becoming widely available in data centers. This technology allows a process to directly read and write the memory of a remote host, with a mechanism to control access permissions. In this paper, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-26 Marcos K. Aguilera , Naama Ben-David , Rachid Guerraoui , Virendra Marathe , Igor Zablotchi

Linearizability is a well-known correctness property for concurrent and distributed systems. In the past, it was also used to prove the design and implementation of replicated state-machines correct. State-machine replication (SMR) is a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-03 Franz J. Hauck , Alexander Heß

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

We consider the problem of making apps fault-tolerant through replication, when apps operate at the microsecond scale, as in finance, embedded computing, and microservices apps. These apps need a replication scheme that also operates at the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-14 Marcos K. Aguilera , Naama Ben-David , Rachid Guerraoui , Virendra J. Marathe , Athanasios Xygkis , Igor Zablotchi

We describe verification techniques for embedded memory systems using efficient memory modeling (EMM), without explicitly modeling each memory bit. We extend our previously proposed approach of EMM in Bounded Model Checking (BMC) for a…

Logic in Computer Science · Computer Science 2011-11-09 Malay K. Ganai , Aarti Gupta , Pranav Ashar

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

In-memory databases (IMDBs) are gaining increasing popularity in big data applications, where clients commit updates intensively. Specifically, it is necessary for IMDBs to have efficient snapshot performance to support certain special…

Databases · Computer Science 2018-10-12 Liang Li , Guoren Wang , Gang Wu , Ye Yuan , Lei Chen , Xiang Lian
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