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IEEE International Workshop on Workload Characterization

IEEE International Workshop on Workload Characterization PDF Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 140

Book Description


IEEE International Workshop on Workload Characterization

IEEE International Workshop on Workload Characterization PDF Author:
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 140

Book Description


Workload Characterization of Emerging Computer Applications

Workload Characterization of Emerging Computer Applications PDF Author: Lizy Kurian John
Publisher: Springer Science & Business Media
ISBN: 1461516137
Category : Computers
Languages : en
Pages : 236

Book Description
The formal study of program behavior has become an essential ingredient in guiding the design of new computer architectures. Accurate characterization of applications leads to efficient design of high performing architectures. Quantitative and analytical characterization of workloads is important to understand and exploit the interesting features of workloads. This book includes ten chapters on various aspects of workload characterizati on. File caching characteristics of the industry-standard web-serving benchmark SPECweb99 are presented by Keller et al. in Chapter 1, while value locality of SPECJVM98 benchmarks are characterized by Rychlik et al. in Chapter 2. SPECJVM98 benchmarks are visited again in Chapter 3, where Tao et al. study the operating system activity in Java programs. In Chapter 4, KleinOsowski et al. describe how the SPEC2000 CPU benchmark suite may be adapted for computer architecture research and present the small, representative input data sets they created to reduce simulation time without compromising on accuracy. Their research has been recognized by the Standard Performance Evaluation Corporation (SPEC) and is listed on the official SPEC website, http://www. spec. org/osg/cpu2000/research/umnl. The main contribution of Chapter 5 is the proposal of a new measure called locality surface to characterize locality of reference in programs. Sorenson et al. describe how a three-dimensional surface can be used to represent both of programs. In Chapter 6, Thornock et al.

High Performance Computing. ISC High Performance 2022 International Workshops

High Performance Computing. ISC High Performance 2022 International Workshops PDF Author: Hartwig Anzt
Publisher: Springer Nature
ISBN: 3031232208
Category : Computers
Languages : en
Pages : 399

Book Description
This book constitutes the refereed conference proceedings of the workshops held at the 37th International ISC High Performance 2022 Conference, in Hamburg, Germany, in June 2, 2022. The 27 full papers were included in this book were carefully reviewed and selected from 43 submissions. ISC High Performance 2022 presents the following workshops: Compiler-assisted Correctness Checking and Performance Optimization for HPC HPC on Heterogeneous Hardware (H3) Malleability Techniques Applications in High Performance Computing Fifth Workshop on Interactive High Performance Computing 3rd ISC HPC International Workshop on Monitoring & Operational Data Analytics 6th International Workshop on In Situ Visualization 17th Workshop on Virtualization in High Performance Cloud Computing Chapter “Compiler-Assisted Instrumentation Selection for Large-Scale C++ Codes” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. /div

Topics in Performance Evaluation, Measurement and Characterization

Topics in Performance Evaluation, Measurement and Characterization PDF Author: Raghunath Nambiar
Publisher: Springer
ISBN: 3642326277
Category : Computers
Languages : en
Pages : 225

Book Description
This book constitutes the proceedings of the Third Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2011, held in conjunction with the 37th International Conference on Very Large Data Bases, VLDB 2011, in Seattle, August/September 2011. The 12 full papers and 2 keynote papers were carefully selected and reviewed from numerous submissions. The papers present novel ideas and methodologies in performance evaluation, measurement, and characterization.

Big Scientific Data Benchmarks, Architecture, and Systems

Big Scientific Data Benchmarks, Architecture, and Systems PDF Author: Rui Ren
Publisher: Springer
ISBN: 9811359105
Category : Computers
Languages : en
Pages : 130

Book Description
This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA 2018, held in Beijing, China, in June 2018. The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework.

Energy Systems Design for Low-Power Computing

Energy Systems Design for Low-Power Computing PDF Author: Gatti, Rathishchandra Ramachandra
Publisher: IGI Global
ISBN: 1668449765
Category : Computers
Languages : en
Pages : 413

Book Description
With the advancement in computing technologies, the need for power is also increasing. Approximately 3% of the total power consumption is spent by data centers and computing devices. This percentage will rise when more internet of things (IoT) devices are connected to the web. The handling of this data requires immense power. Energy Systems Design for Low-Power Computing disseminates the current research and the state-of-the-art technologies, topologies, standards, and techniques for the deployment of energy intelligence in edge computing, distributed computing, and centralized computing infrastructure. Covering topics such as electronic cooling, stochastic data analysis, and energy consumption, this premier reference source is an excellent resource for data center designers, VLSI designers, network developers, students and teachers of higher education, librarians, researchers, and academicians.

Handbook of Dynamic Data Driven Applications Systems

Handbook of Dynamic Data Driven Applications Systems PDF Author: Frederica Darema
Publisher: Springer Nature
ISBN: 3031279867
Category : Computers
Languages : en
Pages : 937

Book Description
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

Software Engineering for Robotics

Software Engineering for Robotics PDF Author: Ana Cavalcanti
Publisher: Springer Nature
ISBN: 3030664945
Category : Computers
Languages : en
Pages : 483

Book Description
The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world. A final chapter summarizes issues on ethics and regulation based on discussions from a panel of experts. The origin of this book is a two-day event, entitled RoboSoft, that took place in November 2019, in London. Organized with the generous support of the Royal Academy of Engineering and the University of York, UK, RoboSoft brought together more than 100 scientists, engineers and practitioners from all over the world, representing 70 international institutions. The intended readership includes researchers and practitioners with all levels of experience interested in working in the area of robotics, and software engineering more generally. The chapters are all self-contained, include explanations of the core concepts, and finish with a discussion of directions for further work. Chapters 'Towards Autonomous Robot Evolution', 'Composition, Separation of Roles and Model-Driven Approaches as Enabler of a Robotics Software Ecosystem' and 'Verifiable Autonomy and Responsible Robotics' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

e-Infrastructure and e-Services for Developing Countries

e-Infrastructure and e-Services for Developing Countries PDF Author: Yahya H. Sheikh
Publisher: Springer Nature
ISBN: 3031063740
Category : Computers
Languages : en
Pages : 539

Book Description
This book constitutes the thoroughly refereed proceedings of the 13th International Conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2021, held in Zanzibar, Tanzania, in December 2021. The 31 full papers presented were carefully selected from 78 submissions. The papers discuss issues and trends, resent research, innovation and experiences related to e-Infrastructure and e-Services along with their associated policy and regulations with a deep focus on developing countries. In recognition of the challenges imposed by the COVID-19 pandemic, the conference organized a workshop to share experience on digital leaning and teaching at the time of pandemic, which garnered 3 papers.

Benchmarking, Measuring, and Optimizing

Benchmarking, Measuring, and Optimizing PDF Author: Chen Zheng
Publisher: Springer Nature
ISBN: 3030328139
Category : Computers
Languages : en
Pages : 268

Book Description
This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018. The 20 full papers presented were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections named: AI Benchmarking; Cloud; Big Data; Modelling and Prediction; and Algorithm and Implementations.