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As numerous machine learning and other algorithms increase in complexity and data requirements, distributed computing becomes necessary to satisfy the growing computational and storage demands, because it enables parallel execution of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-21 Pei Peng , Emina Soljanin , Philip Whiting

Ensuring that an AI system behaves reliably and as intended, especially in the presence of unexpected faults or adversarial conditions, is a complex challenge. Inspired by the field of Byzantine Fault Tolerance (BFT) from distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-30 John deVadoss , Matthias Artzt

The increase in HPC systems size and complexity, together with increasing on-chip transistor density, power limitations, and number of components, render modern HPC systems subject to soft errors. Silent data corruptions (SDCs) are…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-04 Aurélien Cavelan , Florina M. Ciorba

Using fault-tolerant constructions, computations performed with unreliable components can simulate their noiseless counterparts though the introduction of a modest amount of redundancy. Given the modest overhead required to achieve…

Computational Engineering, Finance, and Science · Computer Science 2023-11-07 Andrew K. Tan , Isaac L. Chuang

Serverless computing has grown in popularity in recent years, with an increasing number of applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS platforms support retry-based fault tolerance, but this is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-16 Vikram Sreekanti , Chenggang Wu , Saurav Chhatrapati , Joseph E. Gonzalez , Joseph M. Hellerstein , Jose M. Faleiro

One of the most appreciated features of Fault Trees (FTs) is their simplicity, making them fit into industrial processes. As such processes evolve in time, considering new aspects of large modern systems, modelling techniques based on FTs…

Machine Learning · Computer Science 2024-03-21 Roberta De Fazio , Stefano Marrone , Laura Verde , Vincenzo Reccia , Paolo Valletta

Neural networks (NNs) are increasingly employed in safety-critical domains and in environments prone to unreliability (e.g., soft errors), such as on spacecraft. Therefore, it is critical to impart fault tolerance to NN inference.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-08 Jack Kosaian , K. V. Rashmi

GPU-based fast Fourier transform (FFT) is extremely important for scientific computing and signal processing. However, we find the inefficiency of existing FFT libraries and the absence of fault tolerance against soft error. To address…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-10 Shixun Wu , Yujia Zhai , Jinyang Liu , Jiajun Huang , Zizhe Jian , Huangliang Dai , Sheng Di , Franck Cappello , Zizhong Chen

Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieved from a knowledge base. However, its effectiveness is fundamentally constrained by the reliability of both the retriever…

Computation and Language · Computer Science 2025-01-31 Yiteng Tu , Weihang Su , Yujia Zhou , Yiqun Liu , Qingyao Ai

The rapid growth of global data volumes has created a demand for scalable distributed systems that can maintain a high quality of service. Data replication is a widely used technique that provides fault tolerance, improved performance and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-25 Amir Najjar , Riad Mokadem , Jean-Marc Pierson

The structures for the expression of fault-tolerance provisions into the application software are the central topic of this paper. Structuring techniques answer the questions "How to incorporate fault-tolerance in the application layer of a…

Software Engineering · Computer Science 2015-04-14 Vincenzo De Florio , Chris Blondia

In this paper, we examine the different measures of Fault Tolerance in a Distributed Simulated Annealing process. Optimization by Simulated Annealing on a distributed system is prone to various sources of failure. We analyse simulated…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-01-01 Aaditya Prakash

Fault tolerance is a property which needs deeper consideration when dealing with streaming jobs requiring high levels of availability and low-latency processing even in case of failures where Quality-of-Service constraints must be adhered…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-12 Morgan Geldenhuys , Lauritz Thamsen , Odej Kao

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

In order to efficiently use the future generations of supercomputers, fault tolerance and power consumption are two of the prime challenges anticipated by the High Performance Computing (HPC) community. Checkpoint/Restart (CR) has been and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-08 Faisal Shahzad , Jonas Thies , Moritz Kreutzer , Thomas Zeiser , Georg Hager , Gerhard Wellein

Failure is inevitable in scientific computing. As scientific applications and facilities increase their scales over the last decades, finding the root cause of a failure can be very complex or at times nearly impossible. Different…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-14 Zhe Zhang , Brian Bockelman , Derek Weitzel , Xinkai Zhang , Hamid Vakilzadian , David Swanson

Transformers and large language models (LLMs), powered by the attention mechanism, have transformed numerous AI applications, driving the need for specialized hardware accelerators. A major challenge in these accelerators is efficiently…

Machine Learning · Computer Science 2025-07-23 Vasileios Titopoulos , Kosmas Alexandridis , Giorgos Dimitrakopoulos

In large distributed systems, failures are a daily event occurring frequently, especially with growing numbers of computation tasks and locations on which they are deployed. The advantage of representing an application with a workflow is…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Alberto Mulone , Doriana Medić , Marco Aldinucci

This paper presents a novel method to identify and insert redundant logic into a combinational circuit to improve its fault tolerance without having to replicate the entire circuit as is the case with conventional redundancy techniques. In…

Hardware Architecture · Computer Science 2017-07-24 P Balasubramanian , R T Naayagi

The demand for high-density data storage with ultrafast accessibility motivates the search for new memory implementations. Ideally such storage devices should be robust to input error and to unreliability of individual elements; furthermore…

Disordered Systems and Neural Networks · Physics 2007-05-23 P. Chandra , L. B. Ioffe