Post on 19-Dec-2015
Problem-Solving Environments:
The Next Level in Software Integration
David W. Walker
Cardiff University
31/8/99 David W. Walker, Cardiff University
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Objectives of this talk
To review the purpose and scope of PSEs
To discuss the requirements for constructing PSEs
To identify the major technologies that will serve as the infrastructure of PSEs
To review the PSEs currently in development and in use
31/8/99 David W. Walker, Cardiff University
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Why PSEs? Need: enhanced scientific insight; reduced
development costs; improved product quality and industrial efficiency.
Need: transparent means of integrating distributed computers, instruments, sensors, and people.
Need: improved software productivity to extract maximum benefit from advances in computers, networks, and algorithms.
31/8/99 David W. Walker, Cardiff University
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Why Now?
Confluence of complementary technologies.
Faster networks and communications. Network software technologies such as
CORBA, Java, and XML. “Big Science” is inherently distributed
and collaborative, and needs to migrate to WAN environments to progress.
31/8/99 David W. Walker, Cardiff University
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What’s the Problem?
High-level, problem-specification languages, often coupled with expert system. For example, PDE solvers, numerical integration, etc.
Problem composition in form of dataflow graph using a GUI. Typically used in modelling and simulation of physical systems.
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PSE Requirements
Expert assistance in problem specification and input.
Transparent access to distributed heterogeneous resources.
Interactivity and computational steering. Advanced/immersive visualisation. Integration with other knowledge
repositories and databases.
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Technologies for PSEs
Hardware: Increasingly powerful computers Increasingly fast networks - gigabit
ethernet, vBNS, etc. Immersive visualisation platforms -
CAVEs, ImmersaDesks, etc.
31/8/99 David W. Walker, Cardiff University
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Technologies for PSEs
Software: CORBA for transparent interaction
between distributed resources. Java for platform-independent
programming. XML interface specification. MPI for message-passing in SPMD
codes.
31/8/99 David W. Walker, Cardiff University
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An Example PSE Architecture
Main PSE sub-systems are: Visual Program Composition
Environment (VPCE) for graphically composing applications.
Intelligent Resource Management System (IRMS) for scheduling applications on distributed resources.
31/8/99 David W. Walker, Cardiff University
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VPCE Overview
GUI is used to build an application from software components - either a java or CORBA object with its interface specified in XML.
Each component may have a performance model and help file.
An annotated dataflow graph is produced that is passed to the IRMS.
31/8/99 David W. Walker, Cardiff University
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IRMS Overview
IRMS locates software and hardware resources through information servers.
IRMS then schedules components on appropriate resources based on performance models and database of experience from previous runs. Genetic and neural network algorithms may be used.
31/8/99 David W. Walker, Cardiff University
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The PSE Research Community
European Research Conference on PSEs took place June 1999 in Spain. Next one in summer 2001. http://www.cs.cf.ac.uk/euresco99/
EuroTools SIG on PSEs. http://www.irisa.fr/EuroTools/Sigs/
Cardiff PSE project web site. http://www.cs.cf.ac.uk/PSEweb/
31/8/99 David W. Walker, Cardiff University
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US Software Infrastructure
Globus: provides core services for grid-enabled computing. http://www.globus.org/
Legion: an object-based metacomputing project. http://legion.virginia.edu/
The Grid is a computational and network infrastructure providing pervasive, uniform, and reliable access to distributed resources.
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European Software Infrastructure
UNICORE: Uniform access to Computing Resources. Aimed at providing uniform, secure, batch access to distributed resources. http://www.genias.de/unicore/unicore.html
POLDER: a more ambitious metacomputing project. http://www.wins.uva.nl/projects/polder/
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European Software Infrastructure
CODINE: resource management system targeted at optimal use of all software and hardware resources in a heterogeneous networked environment. http://www.genias.de/products/codine/
CCS: Computing Centre Software - resource management for networked high-performance computers. http://www.uni-paderborn.de/pc2/projects/ccs/
31/8/99 David W. Walker, Cardiff University
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European Software Infrastructure
GRD: Global Resource Director for distributed environments featuring policy management and dynamic scheduling. http://www.genias.de/products/grd/
NWIRE: Netwide resources - management system for WAN-based resources. http://www-ds.e-technik.uni-dortmund.de/
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COVISE Visualisation Environment
The Collaborative Visualisation and Simulation Environment is a distributed software environment that seamlessly integrates simulations, post-processing, and visualisation.
COVISE supports collaborative working, and is available commercially. http://www.hlrs.de/structure/organisation/vis/covise/
31/8/99 David W. Walker, Cardiff University
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Ctadel and PDE Problems
Code-generation tool for applications based on differential equations using high-level language specifications is an environment for the automatic generation of efficient Fortran or HPF programs for PDE-based problems.
Used in HIRLAM numerical weather forecast system. http://www.wi.leidenuniv.nl/CS/HPC/ctadel.html
31/8/99 David W. Walker, Cardiff University
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An Environment for Cellular Automata
CAMELCAMEL is a CA environment designed for message-passing parallel computers. It hides parallelism issues from a user.
User specifies only the transition function of a single cell of the system with CARPETCARPET, a high-level cellular language. http://isi-cnr.deis.unical.it:1080/~talia/CA.html
31/8/99 David W. Walker, Cardiff University
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A PSE for Numerical General Relativity
CACTUS is a collaborative software environment for composing applications for the solution of general relativity problems.
Has been used in distributed computing experiments using Globus.
Interactive visualisation important. http://cactus.aei-potsdam.mpg.de
31/8/99 David W. Walker, Cardiff University
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JACO3: Industrial Design PSE
Java and CORBA based collaborative environment for coupled simulations.
A CORBA based high performance distributed computing environment for coupling simulation codes.
Optimal design of complex and expensive products like airplanes, satellites, or cars. http://www.arttic.com/projects/jaco3/
31/8/99 David W. Walker, Cardiff University
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A PSE for Stochastic Analysis
Promenvir: Probabilistic mechanical design environment - a metacomputing tool for stochastic analysis.
It can automatically generate a series of stochastic computational experiments, and run them on the available resources
It has been used for optimal design problems in the automobile industry. http://www.cepba.upc.es/promenvir.html
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PSE for Engineering Simulations
JULIUS: Joint Industrial Interface for End-User Simulations.
Integrated HPC environment for multi-disciplinary engineering simulations.
Aimed at reducing design time for industrial products.
End-users are engineers. http://www.6s.org/
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Summary
There is an active body of PSE researchers and developers in Europe.
PSEs are used in science, engineering, finance, and manufacturing.
Current emphasis is on PSE infrastructure and prototypes.
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Future Challenges
Maintaining good, reliable performance in distributed environments important.
Need to integrate third party software. Need visualisation environments that
scale from PC up to immersive systems. Needs standards for interfaces and
interaction between PSEs.