English
Related papers

Related papers: Reinit++: Evaluating the Performance of Global-Res…

200 papers

The power consumption of supercomputers is a major challenge for system owners, users, and society. It limits the capacity of system installations, it requires large cooling infrastructures, and it is the cause of a large carbon footprint.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-30 Daniele Cesarini , Andrea Bartolini , Andrea Borghesi , Carlo Cavazzoni , Mathieu Luisier , Luca Benini

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

Recursive query processing has experienced a recent resurgence, as a result of its use in many modern application domains, including data integration, graph analytics, security, program analysis, networking and decision making. Due to the…

Databases · Computer Science 2018-12-11 Zhiwei Fan , Jianqiao Zhu , Zuyu Zhang , Aws Albarghouthi , Paraschos Koutris , Jignesh Patel

Microreboot enables fast recovery by restarting only the failing component, but in modern microservices naive restarts are unsafe: dense dependencies mean rebooting one service can disrupt many callers. Autonomous remediation agents…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-14 Laurent Bindschaedler

Supercomputing systems today often come in the form of large numbers of commodity systems linked together into a computing cluster. These systems, like any distributed system, can have large numbers of independent hardware components…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Michael Treaster

Despite the deployment of preventive security mechanisms to protect the assets and computing platforms of users, intrusions eventually occur. We propose a novel intrusion survivability approach to withstand ongoing intrusions. Our approach…

Cryptography and Security · Computer Science 2019-12-17 Ronny Chevalier , David Plaquin , Chris Dalton , Guillaume Hiet

MPI implementations commonly rely on explicit memory-copy operations, incurring overhead from redundant data movement and buffer management. This overhead notably impacts HPC workloads involving intensive inter-processor communication. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-17 Miryeong Kwon , Donghyun Gouk , Hyein Woo , Junhee Kim , Jinwoo Baek , Kyungkuk Nam , Sangyoon Ji , Jiseon Kim , Hanyeoreum Bae , Junhyeok Jang , Hyunwoo You , Junseok Moon , Myoungsoo Jung

Ternary large language models (LLMs), which utilize ternary precision weights and 8-bit activations, have demonstrated competitive performance while significantly reducing the high computational and memory requirements of full-precision…

Hardware Architecture · Computer Science 2025-06-03 Akul Malhotra , Sumeet Kumar Gupta

NVM-based systems are naturally fit candidates for incorporating periodic checkpointing (or snapshotting). This increases the reliability of the system, makes it more immune to power failures, and reduces wasted work in especially an HPC…

Hardware Architecture · Computer Science 2023-01-30 Akshin Singh , Smruti R. Sarangi

In case of multiple node failures performance becomes very low as compare to single node failure. Failures of nodes in cluster computing can be tolerated by multiple fault tolerant computing. Existing recovery schemes are efficient for…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-02-15 Sanjay Bansal , Sanjeev Sharma

Many tasks are subject to failure before completion. Two of the most common failure recovery strategies are restart and checkpointing. Under restart, once a failure occurs, it is restarted from the beginning. Under checkpointing, the task…

Probability · Mathematics 2018-05-15 Antonio Sodre

To efficiently scale large model (LM) training, researchers transition from data parallelism (DP) to hybrid parallelism (HP) on GPU clusters, which frequently experience hardware and software failures. Existing works introduce in-memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-20 Yuxin Wang , Xueze Kang , Shaohuai Shi , Xin He , Zhenheng Tang , Xinglin Pan , Yang Zheng , Xiaoyu Wu , Amelie Chi Zhou , Bingsheng He , Xiaowen Chu

Standard multiple testing procedures are designed to report a list of discoveries, or suspected false null hypotheses, given the hypotheses' p-values or test scores. Recently there has been a growing interest in enhancing such procedures by…

Methodology · Statistics 2025-10-29 Jack Freestone , William Stafford Noble , Uri Keich

We present a new approach to fault tolerance for High Performance Computing system. Our approach is based on a careful adaptation of the Algorithmic Based Fault Tolerance technique (Huang and Abraham, 1984) to the need of parallel…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-06-20 George Bosilca , Remi Delmas , Jack Dongarra , Julien Langou

Computing at the exascale level is expected to be affected by a significantly higher rate of faults, due to increased component counts as well as power considerations. Therefore, current day numerical algorithms need to be reexamined as to…

Numerical Analysis · Mathematics 2019-05-27 Mark Ainsworth , Christian Glusa

With the growth of complexity and extent, large scale interconnected network systems, e.g. transportation networks or infrastructure networks, become more vulnerable towards external disruptions. Hence, managing potential disruptive events…

Systems and Control · Electrical Eng. & Systems 2022-09-29 Jiaxin Wu , Pingfeng Wang

MPI applications matter. However, with the advent of many-core processors, traditional MPI applications are challenged to achieve satisfactory performance. This is due to the inability of these applications to respond to load imbalances, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-20 Jan Ciesko , Pedro J. Martínez-Ferrer , Raúl Peñacoba Veigas , Xavier Teruel , Vicenç Beltran

System-level virtualization introduces critical vulnerabilities to failures of the software components that implement virtualization -- the virtualization infrastructure (VI). To mitigate the impact of such failures, we introduce a…

Software Engineering · Computer Science 2021-01-26 Michael Le , Yuval Tamir

Energy harvesting systems have shown their unique benefit of ultra-long operation time without maintenance and are expected to be more prevalent in the era of Internet of Things. However, due to the batteryless nature, they suffer…

Hardware Architecture · Computer Science 2022-02-22 Jianping Zeng , Jongouk Choi , Xinwei Fu , Ajay Paddayuru Shreepathi , Dongyoon Lee , Changwoo Min , Changhee Jung

In the presence of accelerated fault rates, which are projected to be the norm on future exascale systems, it will become increasingly difficult for high-performance computing (HPC) applications to accomplish useful computation. Due to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-19 Saurabh Hukerikar , Keita Teranishi , Pedro C. Diniz , Robert F. Lucas
‹ Prev 1 3 4 5 6 7 10 Next ›