PDPTA 99

The 1999 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'99) will be held in Las Vegas, Nevada, June 28 - July 1, 1999. It is hoped that PDPTA'99 will also have a strong international flavor.

SCOPE: Topics of interest include, but are not limited to, the following:

Parallel/Distributed applications: Numerical computations/methods, neural networks and fuzzy logic, medicine, remote sensing, GIS, computer vision, computer graphics and virtual reality, parallel/distributed databases, banking, financial markets, ...

Parallel/Distributed architectures: Clusters and parallel systems, MIMD, SPMD, SIMD, Systolic, vector/pipeline (supercomputers), shared memory, distributed memory, general- and special-purpose architectures, instructional level parallelism, ...

Building block processors: Applications of processors that can be used as basic building blocks for multicomputer systems.

Networks and Interconnection networks: Scalable networks, Reconfigurable networks, routing issues, general-purpose network performance for distributed applications, network protocols, ATM-based systems, internet technology, Optical interconnections and computing, ...

Reliability and fault-tolerance: Software and hardware fault-tolerance (system- and application-level), fault diagnosis, fault-tolerance measurement.

Performance analysis, evaluation, prediction, ...

Real-time and embedded systems: Small-scale parallel systems for high-performance control, data acquisition, and analysis; configuration, routing, scheduling, performance guarantees.

Parallel/Distributed algorithms: Algorithms exploiting clusters and general-purpose distributed systems, MIMD, SPMD, SIMD, Systolic, vector/pipeline, shared memory, distributed memory, ...

Mobile computation and communication.

Object Oriented Technology and related issues.

Heterogeneous and multimedia systems.

Software tools and environments for parallel and distributed platforms: Operating systems, compilers, languages, debuggers, monitoring tools, software engineering on parallel/ distributed systems, ...

High-performance computing in Computational Science: Intra-disciplinary and multi-disciplinary research programs and applications.

Information and data fusion. Integration into commercial applications such as those involved in certain aspects of business alliance (examples can be found here: www.usiba.org or closely related projects that involve commercial entities. There is great scope for expansion in this area with funding being procured from the very business that would stand to gain most from investment in this area.

It is also possible to maintain a large database of relevant information relating to a wide variety of both commercial and non-profit organizations such as charities and churches such as the Evangelical Friends Church (website: www.efcsw.org) as an example with a strong web presence as well as a wide audience base.

Other aspects and applications relating to high-performance computations and any other business as time permits.