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This paper summarizes our work on characterizing application memory error vulnerability to optimize datacenter cost via Heterogeneous-Reliability Memory (HRM), which was published in DSN 2014, and examines the work's significance and future…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-11 Yixin Luo , Sriram Govindan , Bikash Sharma , Mark Santaniello , Justin Meza , Aman Kansal , Jie Liu , Badriddine Khessib , Kushagra Vaid , Onur Mutlu

Future generations of processors will exhibit an increase of faults over their lifetime, and it becomes increasingly expensive to solve the resulting reliability issues purely at the hardware level. We propose to model computations in terms…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-13 Pascal Costanza , Charlotte Herzeel , Wolfgang De Meuter , Roel Wuyts

Reversible computing has emerged as a possible low cost alternative to conventional computing in terms of speed, power consumption and computing capability. In order to achieve reliable circuits in reversible computing, provision for fault…

Emerging Technologies · Computer Science 2015-01-19 Anugrah Jain

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

Real-time systems, particularly those used in domains like automated driving, are increasingly adopting neural networks. From this trend arises the need for high-performance hardware exhibiting predictable timing behavior. While…

Hardware Architecture · Computer Science 2026-02-26 Maximilian Kirschner , Konstantin Dudzik , Ben Krusekamp , Jürgen Becker

This article presents an automatic approach to quickly derive a good solution for hardware resource partition and task granularity for task-based parallel applications on heterogeneous many-core architectures. Our approach employs a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-10 Peng Zhang , Jianbin Fang , Canqun Yang , Chun Huang , Tao Tang , Zheng Wang

Fault tolerance is a key factor of industrial computing systems design. But in practical terms, these systems, like every commercial product, are under great financial constraints and they have to remain in operational state as long as…

Systems and Control · Computer Science 2015-03-31 Andrey A. Shchurov

The structures for the expression of fault-tolerance provisions into the application software are the central topic of this dissertation. Structuring techniques provide means to control complexity, the latter being a relevant factor for the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-08 Vincenzo De Florio

We propose a novel technique for optimizing a modular fault-tolerant quantum computing architecture, taking into account any desired space-time trade-offs between the number of physical qubits and the fault-tolerant execution time of a…

Growing power dissipation due to high performance requirement of processor suggests multicore processor technology, which has become the technology for present and next decade. Research advocates asymmetric multi-core processor system for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-15 Alan David

Many performance critical systems today must rely on performance enhancements, such as multi-port memories, to keep up with the increasing demand of memory-access capacity. However, the large area footprints and complexity of existing…

Hardware Architecture · Computer Science 2020-01-28 Hardik Jain , Matthew Edwards , Ethan Elenberg , Ankit Singh Rawat , Sriram Vishwanath

Decreasing hardware feature sizes and increasing heterogeneity in multicore hardware require software that can adapt to these platforms' properties. We implemented ROMAIN, an OS service providing redundant multithreading on top of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-14 Björn Döbel , Robert Muschner , Hermann Härtig

With the advent of hundreds of cores on a chip to accelerate applications, the operating system (OS) needs to exploit the existing parallelism provided by the underlying hardware resources to determine the right amount of processes to be…

Operating Systems · Computer Science 2025-01-07 Yao Xiao , Nikos Kanakaris , Anzhe Cheng , Chenzhong Yin , Nesreen K. Ahmed , Shahin Nazarian , Andrei Irimia , Paul Bogdan

Hybrid fault models are known to be an effective means for enhancing the robustness of consensus-based replicated systems. However, existing hybridization approaches suffer from limited flexibility with regard to the composition of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-15 Laura Lawniczak , Tobias Distler

Modern airborne operating systems implement the concept of robust time and resource partitioning imposed by the standards for aerospace and airborne-embedded software systems, such as ARINC 653. While these standards do provide a…

Operating Systems · Computer Science 2023-12-05 Vitaly Cheptsov , Alexey Khoroshilov

Multi-threaded applications are capable of exploiting the full potential of many-core systems. However, Network-on-Chip (NoC) based inter-core communication in many-core systems is responsible for 60-75% of the miss latency experienced by…

Hardware Architecture · Computer Science 2021-01-05 Abhijit Das , John Jose , Prabhat Mishra

MPSoCs are gaining popularity because of its potential to solve computationally expensive applications. A multi-core processor combines two or more independent cores (normally a CPU) into a single package composed of a single integrated…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-14 Bilal Habib , Ahmed Anber , Sultan Daud Khan

In this paper, we address some of the key limitations to realizing a generic heterogeneous parallel programming model for quantum-classical heterogeneous platforms. We discuss our experience in enabling user-level multi-threading in QCOR as…

The emergence of multicore and manycore processors is set to change the parallel computing world. Applications are shifting towards increased parallelism in order to utilise these architectures efficiently. This leads to a situation where…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-01 Ashkan Tousimojarad , Wim Vanderbauwhede

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
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