A guide for MySQL administrators covers such topics as benchmarking, server performance, indexing, queries, hardware optimization, replication, scaling, cloud hosting, and backup and recovery.

This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes. Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method. This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques.

This book constitutes the refereed proceedings of the 33rd International Conference, ISC High Performance 2018, held in Frankfurt, Germany, in June 2018. The 20 revised full papers presented in this book were carefully reviewed and selected from 81 submissions. The papers cover the following topics: Resource Management and Energy Efficiency; Performance Analysis and Tools; Exascale Networks; Parallel Algorithms.

Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks. The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019. This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms. The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.

Take your Java programming skills to the next level and learn to overcome real-world challenges to optimize application performance Key Features Leverage key features of the Java Virtual Machine to maximize runtime performance Unlock optimization strategies to effectively manage objects and memory use Apply your knowledge to utilize frameworks and libraries ripe for increasing program performance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You’ll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You’ll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications. By the end of this book, you’ll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally.What you will learn Explore optimization strategies for garbage collection and the JIT compiler Discover best practices when using data structures for high performance Test and compare various approaches to using loops Understand how and when to use object pooling Discern the difference between low-performance and high-performance algorithms Uncover strategies for object creation and immutability to improve performance Gain hands-on experience in avoiding memory leaks Who this book is for This book is for developers, software engineers, and software architects looking to take their Java skills to the next level. Aimed at individuals with a string grasp of Java fundamentals, this book is a practical guide to helping you write high-performing applications.

Unlock the Secrets to Optimal Database Performance and Scalability with "Mastering Database Performance Optimization and Scalability" In the fast-paced world of data-driven applications, the ability to deliver high-performance, scalable databases is essential. "Mastering Database Performance Optimization and Scalability" is your comprehensive guide to mastering the art of crafting databases that excel in both speed and capacity. Whether you're a seasoned database professional or a newcomer to the world of performance tuning, this book equips you with the knowledge and skills needed to unlock the true potential of your databases. About the Book: "Mastering Database Performance Optimization and Scalability" takes you on an enlightening journey through the intricacies of crafting high-performance databases. From foundational concepts to advanced techniques, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of database performance, including query optimization, indexing, and data modeling. · Optimizing Query Performance: Master the art of writing efficient queries, leveraging indexes, and employing optimization techniques to dramatically improve query response times. · Scaling Strategies: Dive into strategies for horizontal and vertical scaling, including sharding, partitioning, and load balancing, to ensure your databases can handle growing workloads. · Caching and In-Memory Processing: Learn how to effectively implement caching strategies and leverage in-memory databases to boost performance for real-time applications. · Data Partitioning and Distribution: Explore techniques for partitioning and distributing data across clusters to ensure optimal data distribution and access. · Monitoring and Tuning: Discover best practices for monitoring database performance, identifying bottlenecks, and using profiling tools to fine-tune your databases. · Cloud and Container Optimization: Learn how to optimize database performance in cloud environments and containerized deployments, ensuring seamless scalability. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from e-commerce and social media to finance and beyond. · High Availability and Disaster Recovery: Understand strategies for ensuring high availability, implementing disaster recovery plans, and maintaining data integrity. Who This Book Is For: "Mastering Database Performance Optimization and Scalability" is designed for database administrators, developers, and anyone seeking to optimize and scale databases for optimal performance. Whether you're aiming to enhance your skills or embark on a journey toward becoming a performance tuning expert, this book provides the insights and tools to navigate the complexities of database optimization. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Human Performance Optimization: The Science and Ethics of Enhancing Human Capabilities explores current and emerging strategies for enhancing individual and team performance, especially in high-stakes, stressful settings such as the military, law enforcement, firefighting, or competitive corporate settings. Taking a cognitive neuroscience perspective, scientifically grounded approaches to optimizing human performance are explored in depth.

Major advances in computing are occurring at an ever-increasing pace. This is especially so in the area of high performance computing (HPC), where today's supercomputer is tomorrow's workstation. High Performance Computing Systems and Applications is a record of HPCS'98, the 12th annual Symposium on High Performance Computing Systems and Applications. The quality of the conference was significantly enhanced by the high proportion of keynote and invited speakers. This book presents the latest research in HPC architecture, networking, applications and tools. Of special note are the sections on computational biology and physics. High Performance Computing Systems and Applications is suitable as a secondary text for a graduate-level course on computer architecture and networking, and as a reference for researchers and practitioners in industry.

How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practices for database security along with hard-earned lessons in both performance and database stability. Dive into MySQL's architecture, including key facts about its storage engines Learn how server configuration works with your hardware and deployment choices Make query performance part of your software delivery process Examine enhancements to MySQL's replication and high availability Compare different MySQL offerings in managed cloud environments Explore MySQL's full stack optimization from application-side configuration to server tuning Turn traditional database management tasks into automated processes

This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.