The 2008 International Conference on Parallel and Distributed Processing Techniques and Applications
(PDPTA'08) is held simultaneously
(ie, same location and dates: July 14-17, 2008, Las Vegas, USA) with a number of other
joint conferences as part of WORLDCOMP'08 (The 2008 World
Congress in Computer Science, Computer Engineering, and
Applied Computing). WORLDCOMP'08 is the largest annual
gathering of researchers in computer science, computer
engineering and applied computing. Many of the joint conferences in WORLDCOMP are the premier
conferences for presentation of advances in their respective
fields (for the complete list of joint conferences Click Here).
The motivation is to assemble a spectrum of affiliated
research conferences into a coordinated research meeting
held in a common place at a common time. The main goal
is to provide a forum for exchange of ideas in a number
of research areas that interact. The model used to form
these annual conferences facilitates communication among
researchers in different fields of computer science,
computer engineering and applied computing. Both inward
research (core areas of computer science and engineering)
and outward research (multi-disciplinary, Inter-disciplinary,
and applications) will be covered during the conferences.
The last set of conferences had
research contributions from 82 countries and had attracted over 1,850 participants. It is anticipated to have over 2,500 participants for
the 2008 event.
The event will be composed of research presentations, keynote lectures, invited presentations, tutorials, panel discussions, and
poster presentations.
You are invited to submit a draft paper of about 5-7 pages and/or a proposal to
organize a Technical Session/workshop (see the Submission information).
All accepted papers will be published in the respective
conference proceedings. The names of technical session/workshop
organizers/chairs will appear on the cover of the
proceedings/books as Associate Editors.
Topics of interest include, but are not limited to,
the following:
Parallel/Distributed architectures:
Clusters and parallel systems of various topologies,
supercomputers, shared memory, distributed memory,
general- and special-purpose architectures,
instructional level parallelism, ...
Networks and interconnection networks:
Scalable networks, reconfigurable networks, routing
issues, general-purpose network performance for
distributed applications, network protocols, 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.
Building block processors:
Applications of processors that can be used as basic
building blocks for multicomputer systems.
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, ...
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.
Performance Evaluation and Management of Wireless Networks
and Distributed Systems
FPGA-based design
Performance analysis, evaluation, prediction, ...
Nanotechnology in HPC
High-performance mobile computation and communication.
Object oriented technology and related issues.
Scheduling and resource management.
Petri Nets: theory, analysis, tools and applications.
Web-based simulation and computing.
Other aspects and applications relating to high-performance
computations.
Emerging technologies
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