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, computer
vision, computer graphics and virtual reality,
parallel/distributed databases, banking, financial
markets, high-performance computational biology, ...
- Parallel/Distributed architectures:
Clusters and parallel systems of various topologies,
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, novel network topologies, ...
- 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 and parallel systems, new vector/pipeline
issues, shared memory, distributed memory,
virtual memory, ...
- High-performance Mobile computation and communication.
- Object oriented technology and related issues.
- Multimedia communications, systems, and applications:
High-speed networking, multimedia architectures and
protocols, multimedia applications, quality of service
support, operating system and networking support,
internet tools and applications, audio/video delivery
over the internet, ...
- 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.
- Scheduling and resource management.
- Petri Nets: theory, analysis, tools and applications.
- Web-based simulation and computing.
- Recent history (last decade) of parallel/distributed
processing and what to expect during the next decade
if history repeats itself; new horizons.
- Other aspects and applications relating to
high-performance computations.
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