100 Shared Memories
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100 Shared Memories
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Author : Lotus Rising
language : en
Publisher:
Release Date : 2020-11-20
100 Shared Memories written by Lotus Rising and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with categories.
Sometimes it feels like time is moving faster and faster, and it's all we can do just to keep up! We know how easy it can be to forget all the wonderful shared memories that happen throughout our lives...moments that make up our relationship and our lives. That's where the 100 Shared Memories journal comes in! We created it as a way to help you keep a record of the special shared moments that have already occurred throughout your relationship and also save space for future memories. Each page includes space to share about your memory and also rate the impact it had on your life and where it falls on the happiness scale. We've also include a Table of Contents in the beginning where you can list your memories by title so you can easily find them whenever you'd like to remember them. Whether you're a new couple or have been together for decades, you've accrued many memories. Some of them will be happy, such as when you met, your first vacation together, your first home, your first pet and/or child (if applicable). But not all memories are happy ones. And it's okay to write those down as well. Perhaps you've lost a loved one or you've dealt with health issues or you've had financial struggles. These memories are just as important as the happier ones because they make up the entire story of your relationship. It's up to you as a couple to decide what you want to record in this journal. It's our hope that writing in this journal brings you closer together and helps you see just how many memories you've already created...and how many more are still to come. This paperback journal measures 6x9 and features a beautiful artistic matte cover with golden leaf designs. It contains 108 pages, each artfully designed to create a special experience for you to remember your special moments together. This journal makes a great gift for any couple - whether they've just started dating, are newlyweds, or have been together for decades. Remembering our special moments is a great way to bring all couples closer together. Happy journaling!
Memories We Share
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Author : Midnight Memories
language : en
Publisher:
Release Date : 2021-06-18
Memories We Share written by Midnight Memories and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with categories.
A Journal to pass around with family or friends and share your most memorable moments together (6x9 Lined Journal 100 Pages)
Scalable Shared Memory Multiprocessing
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Author : Daniel E. Lenoski
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Scalable Shared Memory Multiprocessing written by Daniel E. Lenoski and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.
Distributed Shared Memory
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Author : Jelica Protic
language : en
Publisher: John Wiley & Sons
Release Date : 1997-08-10
Distributed Shared Memory written by Jelica Protic and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-10 with Computers categories.
The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.
Distributed Simulation Using A Real Time Shared Memory Network
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Author : Donald L. Simon
language : en
Publisher:
Release Date : 1993
Distributed Simulation Using A Real Time Shared Memory Network written by Donald L. Simon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Shared Memory Parallelism Can Be Simple Fast And Scalable
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Author : Julian Shun
language : en
Publisher: Morgan & Claypool
Release Date : 2017-06-01
Shared Memory Parallelism Can Be Simple Fast And Scalable written by Julian Shun and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Computers categories.
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2–5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.
Shared Memories
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Author : Charlotte Marie Gibler Muckey
language : en
Publisher:
Release Date : 1987
Shared Memories written by Charlotte Marie Gibler Muckey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Douglas County (Kan.) categories.
Shared Memory Multiprocessing
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Author : Norihisa Suzuki
language : en
Publisher: MIT Press
Release Date : 1992
Shared Memory Multiprocessing written by Norihisa Suzuki and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Shared memory multiprocessors are becoming the dominant architecture for small-scale parallel computation. This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan. It focuses particularly on scalable architecture that will be able to support hundreds of microprocessors as well as on efficient and economical ways of connecting these fast microprocessors. The 20 contributions are divided into sections covering the experience to date with multiprocessors, cache coherency, software systems, and examples of scalable shared memory multiprocessors.
Handbook Of Computational Statistics
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-06
Handbook Of Computational Statistics written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-06 with Computers categories.
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
Computational Science Iccs 2020
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Author : Valeria V. Krzhizhanovskaya
language : en
Publisher: Springer Nature
Release Date : 2020-06-18
Computational Science Iccs 2020 written by Valeria V. Krzhizhanovskaya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Computers categories.
The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.