3 edition of Java and high performance computing found in the catalog.
Java and high performance computing
by Universiteit Leiden in [Leiden]
|Other titles||Java for high performance computing|
|Statement||door Fabian Breg.|
|LC Classifications||QA76.73.J38 B72 2001|
|The Physical Object|
|Pagination||viii, 155 p. :|
|Number of Pages||155|
|LC Control Number||2002444194|
COP (or equivalent) and some experience programming in Java, C, C++, or Fortran Material (note: only parts of each of these textbooks will be used) [HPC] "Software Optimization for High Performance Computing: Creating Faster Applications" by K.R. Wadleigh and I.L. Crawford, Hewlett-Packard professional books, Prentice Hall. He is currently working as an Enterprise architect, where he is responsible for designing and building out high scalable, high load middleware solutions. He has been in the IT field for over 16 years and specialized in Java and Data science. Also, he is a former SOA solution designer, speaker, and .
Java and High Performance Computing. Java and Internet 1. Internet, Web, and Java 2. Object Oriented Paradigm 3. Moving from C++ to Java (Java at a Glance) Java Nuts and Bolts 4. Java Foundations 5. Control Flow 6. Arrays and String 7. Classes and Objects 8. Object Initialization and Cleanup 9. Inheritance Abstract Classes Packages, Classes. 1 High-Performance Computing on Clusters: The Distributed JVM Approach y Wenzhang Zhu, Weijian Fang, Cho-Li Wang, and Francis C. M. Lau The Department of Computer Science and Information Systems The University of Hong Kong A Distributed Java .
Summary. High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. High Performance Cluster Computing, Volume 1: Architectures and Systems captures the remarkable breadth, depth, and power of the cluster computing revolution. Whatever your role in high-performance parallel computing - developer, researcher, administrator, instructor, or manager - this is the one book you cannot be without.3/5(1).
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This is a book about programming high-performance multithreaded applications using the Java language.
Multithreading and multiprogramming, long heralded as useful ideas in the computing literature, have been the focus of numerous textbooks on operating systems, parallel and distributed computing, and, most, recently : Thomas W.
Christopher, Ph.D. Thiruvathukal, George K. These techniques work together synergistically to make Java an efficient language for technical computing.
In a set of four benchmarks, the authors achieve between 50% and 90% of the performance of highly optimized Fortran code.
This represents a several-fold improvement compared to what can be achieved by the next best Java : Samuel Midkiff. High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications.
Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high by: Mixing C and Java™ for High Performance Computing. Nazario Irizarry, Jr. Performance computing software, especially high performance embedded computing (HPEC) software, is typically developed in C for processing as well as infrastructure functionality.
Portability: The capability to write a program on one platform and port it to run on another operating platform has been the biggest strength of the Java will continue to be the advantage when porting Java applications to HPC systems. In Grid computing, this is an essential feature as the execution environment gets decided during the execution of the program.
The rising interest in Java for High Performance Computing (HPC) is based on the appealing features of this language for programming multi-core cluster architectures, particularly the built-in networking and multithreading support, and the continuous increase in Java Virtual Machine (JVM) by: JavaGrande— High Performance Computing with Java.
Java High Performance Computing. JHPC is a research group. The reason we have chosen designation is to allow those from all universities and companies to feel welcome to participate in our efforts. The purpose of JHPC is to develop software and libraries to facilitate the development of high-end distributed computing applications.
Motivation Java for High Performance Computing Java for HPC: Current Research Performance Evaluation Conclusions Outline 1 Motivation 2 Java for High Performance Computing 3 Java for HPC: Current Research 4 Performance Evaluation 5 Conclusions G.
Taboada*, J. Touriño, R. Doallo Java for HPC: Assessment of Current Research and Practice. High performance computing runs a broad range of systems, from our desktop computers through large parallel processing systems.
Because most high performance systems are based on reduced instruction set computer (RISC) processors, many techniques learned on one type of system transfer to the other systems.
High Performance Computing Java Virtual Machine Point Arithmetic Complex Arithmetic Primitive Type These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm by: Abstract.
The role of Java in high performance computing is discussed with particular reference to the efforts of the Java Grande Forum to develop Java into the environment of choice for large-scale, resource-hungry by: 1.
There is a chapter of debugging parallelized code that can be highly valuable for students and developers of applications. The second section is on Java for high-performance computing.
These topics raised a lot of interest among students when I taught the by: The work on High Performance Cluster Computing appears in two volumes: Volume 1: Systems and Architectures Volume 2: Programming and Applications. This book, Volume 2, consists of 29 chapters, which are grouped into the following three parts:4/5(1).
High Performance Computing discusses how modern workstations get their performance and how you can write code that makes optimal use of your hardware.
You'll learn what the newest buzzwords really mean, how caching and other memory design features affect the way your software behaves, and where the newest "post-RISC" architectures are headed. is a platform for academics to share research papers. High Performance Computing pays special attention to memory issues; perhaps the most important story in high performance computing (and one you're not likely to be told by vendors) is the increasing disparity between CPU speeds and memory speeds.
Another valuable section of the book discusses 4/5(1). Book Description. High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications.
Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. It depends on what you want to learn. If it’s about parallel programming, I’d recommend “The Sourcebook of Parallel Computing” and “Parallel Computing Works”.
The role of Java in high performance computing is discussed with particular reference to the efforts of the Java Grande Forum to develop Java into the environment of choice for large-scale.
Java, High Performance Computing, Performance Evaluation, Multi-core Architectures, Message-passing, Threads, Cluster, InﬁniBand 1. Introduction Java has become a leading programming language soon after its release, especially in web-based and distributed computing environments,and it is an emerging option for High Performance Computing (HPC.
📚A curated list of awesome programming books (Algorithms and data structures, Artificial intelligence, Software Architecture, Human–computer interaction, Operating Systems, Database Systems, IT Security, Concurrency, Interpreters and Compilers, High-Performance Computing, Distributed Systems, Game Development, Mathematical optimization).The JavaGrande Forum is a group of users, researchers, and interested parties from industry.
The Forum members are either trying to use Java for resource-intensive applications or are trying to improve the Java platform, making it possible to create.