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