Jim Gray

Andreas Reuter

トランザクション処理技術を幅広く取り扱うとともに、その問題点とアルゴリズムを解説し、商用及び学術的なトランザクション処理システムの調査で締めくくる。章末に、歴史的経緯と演習問題を付す。

内容（「MARC」データベースより）

グレイ,ジム
TandemとDECに在籍。1995年、汎用の構成要素を多数並べたスケーラブルな耐故障スーパーコンピュータに関する研究を行うため、マイクロソフトリサーチに移籍。この間DEC、Tandem、IBMにおいてRdbやNonStop SQL、ACMS、Pathway、SystemR、DB2といった様々なデータベースやトランザクション処理システムの研究開発に従事。同時に、スタンフォード大学とカリフォルニア大学バークレー校において教鞭をとった。ACM、NAEおよびNASのフェロー。1998年トランザクション処理に関する業績によりACMチューリング賞を受賞 

ロイター,アンドレアス
シュツットガルト大学教授。1992年同大学の運営に加わり、その後学長。1997年仲間とともにIT中心の私立大学を設立し、同大学は1998年ドイツ国際大学として開学。以来IT学部長。同時に、トランザクションシステムやワークフロー関連の講義も行っている。同年、ハイデルベルクに新しく設立されたヨーロッパメディア研究所(EML)の科学担当取締役にも就任。この2つの仕事以外の全ての時間を、トランザクション処理の最新技術に関する研究に費やしている 

喜連川/優
1978年東京大学工学部電子工学科卒業。1983年同大大学院工学系研究科情報工学専攻博士課程修了。工博。同年同大生産技術研究所講師。現在、同教授。概念情報工学研究センター長。データベース工学、並列処理、Webマイニング、投機的トランザクション処理に関する研究に従事。1997、98年電子情報通信学会データ工学研究専門委員会委員長。2000年度よりACM SIGMOD Japan Chapter Chair、VLDB Trustee、IEEEICDE、PAKDDステアリングコミティメンバ、SNIA‐J顧問、IEEE、ACM、情報処理学会各会員(本データはこの書籍が刊行された当時に掲載されていたものです)

著者略歴 (「BOOK著者紹介情報」より)

A comprehensive presentation of the key concepts and techniques of transaction processing. The authors provide a description of the transaction concepts and how it fits in a distributed computing environment, as well as a thorough discussion of the complex issues related to transaction recovery. The book will be invaluable to anyone interested in using or implementing distributed systems or client server systems.

内容詳細

Transaction Processing: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Gerhard Weikum

Gottfried Vossen

This book describes the theory, algorithms, and practical implementation techniques behind transaction processing in information technology systems.

Transactional Information Systems: Theory, Algorithms, and the Practice of Concurrency Control and Recovery (The Morgan Kaufmann Series in Data Management Systems) (English Edition)

Matt Pharr

Wenzel Jakob

Greg Humphreys

Physically Based Rendering: From Theory To Implementation, Third Edition describes both the mathematical theory behind a modern photorealistic rendering system and its practical implementation. Through a method known as 'literate programming', the authors combine human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The result is a stunning achievement in graphics education. Through the ideas and software in this book, users will learn to design and employ a fully-featured rendering system for creating stunning imagery. This completely updated and revised edition includes new coverage on ray-tracing hair and curves primitives, numerical precision issues with ray tracing, LBVHs, realistic camera models, the measurement equation, and much more. It is a must-have, full color resource on physically-based rendering. Presents up-to-date revisions of the seminal reference on rendering, including new sections on bidirectional path tracing, ray-tracing hair and curves, and micro faceted reflection models Provides the source code for complete rendering systems allowing readers to get up and running fast Includes a unique indexing feature, literate programming, that lists the locations of each function, variable, and method on the page where they are first described Serves as an essential resource on physically-based rendering

Physically Based Rendering, Third Edition: From Theory to Implementation

Gregory Ruetsch

Massimiliano Fatica

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran.

内容紹介

"This book is written for the Fortran programmer who wants to do real work on GPUs, not just stunts or demonstrations. The book has many examples, and includes introductory material on GPU programming as well as advanced topics such as data optimization, instruction optimization and multiple GPU programming. Placing the performance measurement chapter before performance optimization is key, since measurement drives the tuning and optimization process. All Fortran programmers interested in GPU programming should read this book."--Michael Wolfe, PGI Compiler Engineer

レビュー

Greg Ruetsch is a Senior Applied Engineer at NVIDIA, where he works on CUDA Fortran and performance optimization of HPC codes. He holds a Bachelor’s degree in mechanical and aerospace engineering from Rutgers University and a Ph.D. in applied mathematics from Brown University. Prior to joining NVIDIA he has held research positions at Stanford University’s Center for Turbulence Research and Sun Microsystems Laboratories. Massimiliano Fatica is the manager of the Tesla HPC Group at NVIDIA where he works in the area of GPU computing (high-performance computing and clusters). He holds a laurea in Aeronautical Engineering and a Phd in Theoretical and Applied Mechanics from the University of Rome “La Sapienza. Prior to joining NVIDIA, he was a research staff member at Stanford University where he worked at the Center for Turbulence Research and Center for Integrated Turbulent Simulations on applications for the Stanford Streaming Supercomputer.

著者について

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

John L. Hennessy

David A. Patterson

Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design. Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling Features the first publication of several DSAs from industry Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter Includes review appendices in the printed text and additional reference appendices available online Includes updated and improved case studies and exercises ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry

Computer Architecture: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design) (English Edition)

Didier H. Besset

Numerical methods naturally lend themselves to an object-oriented approach. Mathematics builds high- level ideas on top of previously described, simpler ones. Once a property is demonstrated for a given concept, it can be applied to any new concept sharing the same premise as the original one, similar to the ideas of reuse and inheritance in object-oriented (OO) methodology. Few books on numerical methods teach developers much about designing and building good code. Good computing routines are problem-specific. Insight and understanding are what is needed, rather than just recipes and black box routines. Developers need the ability to construct new programs for different applications. Object-Oriented Implementation of Numerical Methods reveals a complete OO design methodology in a clear and systematic way. Each method is presented in a consistent format, beginning with a short explanation and following with a description of the general OO architecture for the algorithm. Next, the code implementations are discussed and presented along with real-world examples that the author, an experienced software engineer, has used in a variety of commercial applications. On the enclosed CD-ROM, you'll find files containing tested source code implementations of all the algorithms discussed in the book in both Java and Smalltalk. This includes repository files for VisualAge for Java and VisualAge for Smalltalk under ENVY. * Reveals the design methodology behind the code, including design patterns where appropriate, rather than just presenting canned solutions. * Implements all methods side by side in both Java and Smalltalk. This contrast can significantly enhance your understanding of the nature of OO programming languages. * Provides a step-by-step pathway to new object-oriented techniques for programmers familiar with using procedural languages such as C or Fortran for numerical methods. * Includes a chapter on data mining, a key application of numerical methods.