Abstract
DARP: Java-based data analysis and rapid prototyping environment for distributed high performance computations
Highlights
The development of large applications is a complex process, and the assistance of adequate tools is always needed
The integration of compiled and interpreted HPF gives us an opportunity to design a powerful application development environment targeted for high performance parallel and distributed systems
For meta-computations, in our approach controlled by a network of managers, we consider replacing low level MPI by Nexus[5] and other services provided by Globus[6] as the high performance communication layer
Summary
The development of large applications is a complex process, and the assistance of adequate tools is always needed. The integration of compiled and interpreted HPF gives us an opportunity to design a powerful application development environment targeted for high performance parallel and distributed systems. This DARP environment includes a source level debugger, data visualization and data analysis packages, and an HPF interpreter. For more complex data transformations, the user can dynamically link precompiled functions written in HPF or other languages We use this mechanism for dynamical embedding of calls to a visualization system (such as SciViz[2]), or for coupling this system with the WebFlow[3].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
