Author: Publisher:
ISBN: 9781538612330
Category :
Languages : en
Pages :
Book Description
Proceedings of the 2017 IEEE International Symposium on Workload Characterization
Author: 2017 IEEE International Symposium on Workload Characterization (IISWC)
Author: IEEE StaffPublisher:
ISBN: 9781538612347
Category :
Languages : en
Pages :
Book Description
This symposium is dedicated to the understanding and characterization of workloads that run on all types of computing systems New applications and programming paradigms continue to emerge rapidly as the diversity and performance of computers increase On one hand, improvements in computing technology are usually based on a solid understanding and analysis of existing workloads On the other hand, computing workloads evolve and change with advances in microarchitecture, compilers, programming languages, and networking communication technologies Whether they are smart phones and deeply embedded systems at the low end or massively parallel systems at the high end, the design of future computing machines can be significantly improved if we understand the characteristics of the workloads that are expected to run on them
Euro-Par 2021: Parallel Processing
Author: Leonel SousaPublisher: Springer Nature
ISBN: 3030856658
Category : Computers
Languages : en
Pages : 652
Book Description
This book constitutes the proceedings of the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, held in Lisbon, Portugal, in August 2021. The conference was held virtually due to the COVID-19 pandemic. The 38 full papers presented in this volume were carefully reviewed and selected from 136 submissions. They deal with parallel and distributed computing in general, focusing on compilers, tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; parallel numerical methods and applications; and high performance architecture and accelerators.
High Performance Computing. ISC High Performance 2022 International Workshops
Author: Hartwig AnztPublisher: 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
Latency-aware Resource Management at the Edge
Author: Klervie ToczéPublisher: Linköping University Electronic Press
ISBN: 9179299040
Category :
Languages : en
Pages : 126
Book Description
The increasing diversity of connected devices leads to new application domains being envisioned. Some of these need ultra low latency or have privacy requirements that cannot be satisfied by the current cloud. By bringing resources closer to the end user, the recent edge computing paradigm aims to enable such applications. One critical aspect to ensure the successful deployment of the edge computing paradigm is efficient resource management. Indeed, obtaining the needed resources is crucial for the applications using the edge, but the resource picture of this paradigm is complex. First, as opposed to the nearly infinite resources provided by the cloud, the edge devices have finite resources. Moreover, different resource types are required depending on the applications and the devices supplying those resources are very heterogeneous. This thesis studies several challenges towards enabling efficient resource management for edge computing. The thesis begins by a review of the state-of-the-art research focusing on resource management in the edge computing context. A taxonomy is proposed for providing an overview of the current research and identify areas in need of further work. One of the identified challenges is studying the resource supply organization in the case where a mix of mobile and stationary devices is used to provide the edge resources. The ORCH framework is proposed as a means to orchestrate this edge device mix. The evaluation performed in a simulator shows that this combination of devices enables higher quality of service for latency-critical tasks. Another area is understanding the resource demand side. The thesis presents a study of the workload of a killer application for edge computing: mixed reality. The MR-Leo prototype is designed and used as a vehicle to understand the end-to-end latency, the throughput, and the characteristics of the workload for this type of application. A method for modeling the workload of an application is devised and applied to MR-Leo in order to obtain a synthetic workload exhibiting the same characteristics, which can be used in further studies.
Design and Applications of Emerging Computer Systems
Author: Weiqiang LiuPublisher: Springer Nature
ISBN: 3031424786
Category :
Languages : en
Pages : 745
Book Description
Big Scientific Data Benchmarks, Architecture, and Systems
Author: Rui RenPublisher: Springer
ISBN: 9811359105
Category : Computers
Languages : en
Pages : 123
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.
Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
Author: Darwish, DinaPublisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 494
Book Description
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Benchmarking, Measuring, and Optimizing
Author: Felix WolfPublisher: Springer Nature
ISBN: 3030710580
Category : Computers
Languages : en
Pages : 246
Book Description
This book constitutes the refereed post-conference proceedings of the Third International Symposium on Benchmarking, Measuring, and Optimization, Bench 2020, held virtually in November 2020. The 12 revised full papers and 1 revised short paper presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: best paper session; data management and storage; supercomputing; benchmarking on GPU; and application and dataset.
HPC, Big Data, and AI Convergence Towards Exascale
Author: Olivier TerzoPublisher: CRC Press
ISBN: 100048517X
Category : Computers
Languages : en
Pages : 276
Book Description
HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.
