Software Development Java Language. Java EE 7 Developer Handbook. Java SOA Cookbook. Java Deep Learning Essentials. Maven Build Customization. Please enter your comment! Please enter your name here. You have entered an incorrect email address! Our programming model allows the programmer to define groups of objects that can be replicated and updated as a whole, using totally-ordered broadcast to send update method Abstract - Cited by 22 12 self - Add to MetaCart We describe and evaluate a new approach to object replication in Java, aimed at improving the performance of parallel programs.
Our programming model allows the programmer to define groups of objects that can be replicated and updated as a whole, using totally-ordered broadcast to send update methods to all machines containing a copy. The model has been implemented in the Manta high-performance Java system.
We evaluate system performance both with micro benchmarks and with a set of five parallel applications. For the applications, we also evaluate ease of programming, compared to RMI implementations. We present performance results for a Myrinet-based workstation cluster as well as for a wide-area distributed system consisting of four such clusters. The micro benchmarks show that updating a replicated object on 64 machines only takes about three times the RMI latency in Manta.
Citation Context We describe a new approach to object replication in Java, aimed at improving the performance of parallel programs. Our programming model allows the programmer to define groups of objects that can be replicated and updated as a whole, using totally-ordered broadcast to send update methods to all mach Abstract - Cited by 20 9 self - Add to MetaCart We describe a new approach to object replication in Java, aimed at improving the performance of parallel programs.
Performance measurements on a Myrinet cluster show that the replication mechanism is efficient e. Example applications that use object replication perform as fast as manually optimized versions based on RMI.
Satin is a system for running divide and conquer programs on distributed memory systems and ultimately on wide-area metacomputing systems. Satin extends Java with three simple Cilk-like primitives for divide and conquer programming. The Satin compiler and runtime system cooperate to implement th Abstract - Cited by 18 3 self - Add to MetaCart Satin is a system for running divide and conquer programs on distributed memory systems and ultimately on wide-area metacomputing systems.
The Satin compiler and runtime system cooperate to implement these primitives eciently on a distributed system, using work stealing to distribute the jobs. Satin optimizes the overhead of local jobs using on-demand serialization, which avoids copying and serialization of parameters for jobs that are not stolen. This optimization is implemented using explicit invocation records. We have implemented Satin by extending the Manta compiler. We discuss the performance of ten applications on a Myrinet-based cluster.
Bal, Thilo Kielmann, Ronald Veldema , To obtain actual experience with a Java-centric approach to metacomputing, we have built and You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases.
Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.
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