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Real time systems are systems in which there is a commitment for timely response by the computer to external stimuli. Real time applications have to function correctly even in presence of faults. Fault tolerance can be achieved by either…

Performance · Computer Science 2016-09-08 A. Christy Persya , T. R. Gopalakrishnan Nair

Quantum random-access look-up of a string of classical bits is a necessary ingredient in several important quantum algorithms. In some cases, the cost of such quantum random-access memory (qRAM) is the limiting factor in the implementation…

Quantum Physics · Physics 2020-01-24 Olivia Di Matteo , Vlad Gheorghiu , Michele Mosca

High capacity and scalable memory systems play a vital role in enabling our desktops, smartphones, and pervasive technologies like Internet of Things (IoT). Unfortunately, memory systems are becoming increasingly prone to faults. This is…

Hardware Architecture · Computer Science 2019-09-04 Prashant J. Nair

As hardware failures such as node losses become increasingly common, MPI programmers may want to save vulnerable data in a resilient store. While third-party storage solutions such as Redis or the Hazelcast IMap exist, a tailored, MPI-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-21 Claudia Fohry , Rainer Fink

Mutual exclusion (ME) is a commonly used technique to handle conflicts in concurrent systems. With recent advancements in non-volatile memory technology, there is an increased focus on the problem of recoverable mutual exclusion (RME), a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-03 Sahil Dhoked , Neeraj Mittal

Exceptions and errors occurring within mission critical applications due to hardware failures have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware failures will likely increase. Therefore, designing our…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-22 Nikunj Gupta , Jackson R. Mayo , Adrian S. Lemoine , Hartmut Kaiser

With the rapid evolution of Large Language Models (LLMs) and their large-scale experimentation in cloud-computing spaces, the challenge of guaranteeing their security and efficiency in a failure scenario has become a main issue. To ensure…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-18 Yihong Jin , Ze Yang , Xinhe Xu , Yihan Zhang , Shuyang Ji

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 growing memory demands of modern applications have driven the adoption of far memory technologies in data centers to provide cost-effective, high-capacity memory solutions. However, far memory presents new performance challenges because…

Hardware Architecture · Computer Science 2024-04-18 Luming Wang , Xu Zhang , Songyue Wang , Zhuolun Jiang , Tianyue Lu , Mingyu Chen , Siwei Luo , Keji Huang

Resistive memory (RM) based neuromorphic systems can emulate synaptic plasticity and thus support continual learning, but they generally lack biologically inspired mechanisms for active forgetting, which are critical for meeting modern data…

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

Memory disaggregation over RDMA can improve the performance of memory-constrained applications by replacing disk swapping with remote memory accesses. However, state-of-the-art memory disaggregation solutions still use data path components…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-20 Hasan Al Maruf , Mosharaf Chowdhury

FP-Growth algorithm is a Frequent Pattern Min- ing (FPM) algorithm that has been extensively used to study correlations and patterns in large scale datasets. While several researchers have designed distributed memory FP-Growth algorithms,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-18 Sameh Shohdy , Abhinav Vishnu , Gagan Agrawal

We present Hydra, a low-latency, low-overhead, and highly available resilience mechanism for remote memory. Hydra can access erasure-coded remote memory within a single-digit microsecond read/write latency, significantly improving the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-30 Youngmoon Lee , Hasan Al Maruf , Mosharaf Chowdhury , Asaf Cidon , Kang G. Shin

The optimal fault-tolerance achievable by any protocol has been characterized in a wide range of settings. For example, for state machine replication (SMR) protocols operating in the partially synchronous setting, it is possible to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-01 Andrew Lewis-Pye , Tim Roughgarden

Developing simple, sample-efficient learning algorithms for robust classification is a pressing issue in today's tech-dominated world, and current theoretical techniques requiring exponential sample complexity and complicated improper…

Machine Learning · Computer Science 2023-02-07 Robi Bhattacharjee , Max Hopkins , Akash Kumar , Hantao Yu , Kamalika Chaudhuri

HPC systems are a critical resource for scientific research. The increased demand for computational power and memory ushers in the exascale era, in which supercomputers are designed to provide enormous computing power to meet these needs.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-11 Yehonatan Fridman , Yaniv Snir , Harel Levin , Danny Hendler , Hagit Attiya , Gal Oren

Processing In Memory (PIM) accelerators are promising architecture that can provide massive parallelization and high efficiency in various applications. Such architectures can instantaneously provide ultra-fast operation over extensive…

Hardware Architecture · Computer Science 2022-07-26 Kazi Abu Zubair , Sumit Kumar Jha , David Mohaisen , Clayton Hughes , Amro Awad

Mutual exclusion is one of the most commonly used techniques to handle contention in concurrent systems. Traditionally, mutual exclusion algorithms have been designed under the assumption that a process does not fail while…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-19 Sahil Dhoked , Neeraj Mittal

Reliability is necessary in safety-critical applications spanning numerous domains. Conventional hardware-based fault tolerance techniques, such as component redundancy, ensure reliability, typically at the expense of significantly…