Sosp '17

Sosp '17
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 1450350852
ISBN-13 : 9781450350853
Rating : 4/5 (52 Downloads)

Book Synopsis Sosp '17 by : Haibo Chen

Download or read book Sosp '17 written by Haibo Chen and published by . This book was released on 2017-10-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: SOSP '17: ACM SIGOPS 26th Symposium on Operating Systems Principles Oct 28, 2017-Oct 28, 2017 Shanghai, China. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

Fundamental Approaches to Software Engineering

Fundamental Approaches to Software Engineering
Author :
Publisher : Springer Nature
Total Pages : 344
Release :
ISBN-10 : 9783031308260
ISBN-13 : 3031308263
Rating : 4/5 (60 Downloads)

Book Synopsis Fundamental Approaches to Software Engineering by : Leen Lambers

Download or read book Fundamental Approaches to Software Engineering written by Leen Lambers and published by Springer Nature. This book was released on 2023-04-19 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the proceedings of the 26th International Conference on Fundamental Approaches to Software Engineering, FASE 2023, which was held during April 22-27, 2023, in Paris, France, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023. The 12 regular papers presented in this volume were carefully reviewed and selected from 50 submissions. The proceedings also contain 2 tool papers, 2 NIER papers, and 2 competition papers from the Test-Comp Competition. The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications. .

Applied Cryptography and Network Security

Applied Cryptography and Network Security
Author :
Publisher : Springer Nature
Total Pages : 735
Release :
ISBN-10 : 9783031334917
ISBN-13 : 3031334914
Rating : 4/5 (17 Downloads)

Book Synopsis Applied Cryptography and Network Security by : Mehdi Tibouchi

Download or read book Applied Cryptography and Network Security written by Mehdi Tibouchi and published by Springer Nature. This book was released on 2023-05-27 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS two-volume set 13905 and LNCS 13906 constitutes the refereed proceedings of the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Tokyo, Japan, during June 19-22, 2023. The 53 full papers included in these proceedings were carefully reviewed and selected from a total of 263 submissions. They are organized in topical sections as follows: Part I: side-channel and fault attacks; symmetric cryptanalysis; web security; elliptic curves and pairings; homomorphic cryptography; machine learning; and lattices and codes. Part II: embedded security; privacy-preserving protocols; isogeny-based cryptography; encryption; advanced primitives; multiparty computation; and Blockchain.

High-Performance Computing

High-Performance Computing
Author :
Publisher : John Wiley & Sons
Total Pages : 818
Release :
ISBN-10 : 9780471732709
ISBN-13 : 0471732702
Rating : 4/5 (09 Downloads)

Book Synopsis High-Performance Computing by : Laurence T. Yang

Download or read book High-Performance Computing written by Laurence T. Yang and published by John Wiley & Sons. This book was released on 2005-11-18 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The state of the art of high-performance computing Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including: * Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk * Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC * Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms * Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues * Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance * Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms * High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.

Proceedings of the 17th ACM Symposium on Operating Systems Principles

Proceedings of the 17th ACM Symposium on Operating Systems Principles
Author :
Publisher :
Total Pages : 306
Release :
ISBN-10 : 1581131402
ISBN-13 : 9781581131406
Rating : 4/5 (02 Downloads)

Book Synopsis Proceedings of the 17th ACM Symposium on Operating Systems Principles by :

Download or read book Proceedings of the 17th ACM Symposium on Operating Systems Principles written by and published by . This book was released on 1999 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing
Author :
Publisher : Springer Nature
Total Pages : 757
Release :
ISBN-10 : 9783030953881
ISBN-13 : 3030953882
Rating : 4/5 (81 Downloads)

Book Synopsis Algorithms and Architectures for Parallel Processing by : Yongxuan Lai

Download or read book Algorithms and Architectures for Parallel Processing written by Yongxuan Lai and published by Springer Nature. This book was released on 2022-02-22 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows: Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.

High-Performance Big Data Computing

High-Performance Big Data Computing
Author :
Publisher : MIT Press
Total Pages : 275
Release :
ISBN-10 : 9780262046855
ISBN-13 : 0262046857
Rating : 4/5 (55 Downloads)

Book Synopsis High-Performance Big Data Computing by : Dhabaleswar K. Panda

Download or read book High-Performance Big Data Computing written by Dhabaleswar K. Panda and published by MIT Press. This book was released on 2022-08-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.