Parallel and Distributed Computing, Applications and Technologies, Takizawa
Автор: Jong Hyuk Park; Hong Shen; Yunsick Sung; Hui Tian Название: Parallel and Distributed Computing, Applications and Technologies ISBN: 9811359067 ISBN-13(EAN): 9789811359064 Издательство: Springer Рейтинг: Цена: 10244.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018. The 35 revised full papers presented along with the 14 short papers and were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.
Описание: This book constitutes the proceedings of the 21st International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2020, which took place in Shenzhen, China, during December 28-30, 2020.The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions.
Networking and Architectures.- Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression.- Routing with Ant Colony Optimization in Wireless Mesh Networks.- A light-weight scheme for detecting component structure of network traffic.- Evaluating the performance and conformance of a SYCL implementation for SX-Aurora TSUBASA.- Bayesian Optimization Based Task Scheduling in Heterogeneous Computing Systems.- Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast.- A Batched Jacobi SVD Algorithm on GPUs and Its Application to Quantum Lattice Systems.- A Molecular Dynamics Based Multi-Scale Platelet Aggregation Model and Its High-throughput Simulation.- Approximation and Polynomial Algorithms for Multi-Depot Capacitated Arc Routing Problems.- Zero-shot Face Swapping with De-identification Adversarial Learning.- An user-driven active way to push ACL in Software-Defined Networking.- Photonic Computing and Communication for Neural Network Accelerators.- Performance Comparison of Multi-layer Perceptron Training on Electrical and Optical Network-on-Chips.- The design and implementation of reconfigurable quaternary logic processor.- A 3D Dubins Curve Constructing Method Based on Particle Swarm Optimization.- Software Systems and Technologies.- Towards Conflict-Aware Workload Co-execution on SX-Aurora TSUBASA.- A Learning-Based Scheduler for High Volume Processing in Data Warehouse using Graph Neural Networks.- Adaptive Updates for Erasure-Coded Storage Systems Based on Data Delta and Logging.- Matching Program Implementations and Heterogeneous Computing Systems.- FastDCF: A Partial Index based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories.- Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms.- Temperature Matrix-based Data Placement Using Improved Hungarian Algorithm in Edge Computing Environments.- Realtime Physics Simulation of Large Virtual Space with Docker Containers.- A deep reinforcement learning-based approach to the scheduling of multiple workflows on non-dedicated edge servers.- A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain.- An Effective and Reliable Cross-Blockchain Data Migration Approach.- Algorithm for the Facility Location Problem with Origin and Destination.- Reinforcement Learning-based Auto-scaling Algorithm for Elastic Cloud Workflow Service.- Optimal Energy Efficiency Strategy of mm Wave Cooperative Communication Small Cell based on SWIPT.- Providing Low Latency Execution Guarantees under Uncertainty in Serverless Platforms.- High resolution patient-specific blood flow simulation in a full-size aneurysmal aorta based on a parallel two-level method.- Optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework.- TEFRED: A temperature and energy cognizant fault-tolerant real-time scheduler based on deadline partitioning for heterogeneous platforms.- Algorithms and Applications.- Social Recommendation via Graph Attentive Aggregation.- MACSQ: Massively Accelerated DeepQ Learning on GPUs using on-the-fly State Construction.- Model-based Multi-agent Policy Optimization with Dynamic Dependence Modeling.- Multi-index federated aggregation algorithm based on trusted verification.- Few-shot Generative Learning by Modeling Stereoscopic Priors.- Distributed fair k-Center clustering problems with outliers.- Multi-zone residential HVAC control with satisfying occupants' thermal comfort requirements and saving energy via reinforcement learning.- Approximating BP Maximization with Distorted-Based Strategy.- Streaming Algorithms for Maximization of a Non-Submodular Function with a Cardinality Constraint on the Integer Lattice.- Adaptable Focal Loss for Imbalanced Text Classification.- Roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation.- Data-Hungry Issue in Personalized Product Search.- Jointl
Автор: Sourav Mazumder; Robin Singh Bhadoria; Ganesh Chan Название: Distributed Computing in Big Data Analytics ISBN: 3319598333 ISBN-13(EAN): 9783319598338 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics.
Автор: Victor Malyshkin Название: Parallel Computing Technologies ISBN: 3319219081 ISBN-13(EAN): 9783319219080 Издательство: Springer Рейтинг: Цена: 8782.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 13th International Conference on Parallel Computing Technologies, PaCT 2015, held in Petrozavodsk, Russia, during August / September 2015. The 37 full papers and 14 short papers presented were carefully reviewed and selected from 87 submissions.
Описание: This book constitutes the proceedings of the 15th International Conference on Parallel Computing Technologies, PaCT 2019, held in Almaty, Kazakhstan, in August 2019. The 24 full papers and 10 short papers presented were carefully reviewed and selected from 72 submissions.
Описание: This book constitutes the proceedings of the 16th International Conference on Parallel Computing Technologies, PaCT 2021, which was held during September 13-18, 2021. The conference was planned to take place in Kaliningrad, Russia, but changed to an online event due to the COVID-19 pandemic.
The purpose of the 12th Conference Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2011) held on July 6-8, 2011 in Sydney, Australia was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.
The conference organizers selected 14 outstanding papers from SNPD 2011, all of which you will find in this volume of Springer s Studies in Computational Intelligence. "
Описание: Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic.
Автор: Prasad Sushil Название: Topics in Parallel and Distributed Computing ISBN: 0128038993 ISBN-13(EAN): 9780128038994 Издательство: Elsevier Science Рейтинг: Цена: 9264.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline.
The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology.
However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists.
This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula.
This book aims to provide a deep look into Italian actions taken in some fields of science and high performance computing (HPC), and the Italian effort to bridge the HPC gap with respect to Europe. The Italian PON ReCaS Project is written for graduate readers and professionals in the field of high performance computing. It presents and discusses innovative and important technological solutions, and describes interesting results in various fields of application.
ReCaS stands for "Rete di Calcolo per SuperB e altre applicazioni" and is a computing network infrastructure in Southern Italy devoted to scientific and non-scientific applications within the vision of a common European infrastructure for computing, storage and network. The ReCaS project is part of the 2007-2013 European Union strategy, and was funded by the Italian Ministry of Research and Education (MIUR) for the development and enhancement of a distributed computing infrastructure of the Grid/Cloud type over the four EU 'Convergence' regions in Southern Italy: Campania, Puglia and Sicily and Calabria.
The network will be open and accessible to all researchers, public and private, and will be characterized by unprecedented computing power and storage capacity. Posted in the European Grid Infrastructure EGI, ReCaS is also an opportunity to the countries of the Mediterranean area and extends the potential of the current network.
Автор: Francisco F. Rivera; Tom?s F. Pena; Jos? C. Cabale Название: Euro-Par 2017: Parallel Processing ISBN: 3319642022 ISBN-13(EAN): 9783319642024 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. theory and algorithms for parallel computation and networking;
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