PDPTA 2010 : The 2010 International Conference on Parallel and Distributed Processing Techniques and Applications
Conference Series : Parallel and Distributed Processing Techniques and Applications
Call For Papers
PDPTA'10 Conference is being held jointly (same location and dates) with a number of other research conferences (WORLDCOMP). WORLDCOMP is the largest annual gathering of researchers in computer science, computer engineering and applied computing. We anticipate to have 2,000 or more attendees from over 85 countries participating at WORLDCOMP Congress. A number of individual research tracks of the Congress have been held for many years; for example, PDPTA has been held annually since 1995 (PDPTA'10 is the 16th annual conference); ERSA has been held annually since 2001 (ERSA'10 is the 10th annual conference); ICAI has been held annually since 1999 (ICAI'10 is the 12th annual conference). Other tracks of WORLDCOMP Congress have similar records.
The motivation behind this federated congress 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 PDPTA facilitates communication among researchers from all over the world in different fields of computer science, computer engineering, applied computing, and computational biology. Both inward research (core areas) and outward research (multi-disciplinary, inter-disciplinary, and applications) will be covered during the conference. PDPTA makes concerted effort to reach out to participants affiliated with diverse entities (such as: universities, institutions, corporations, government agencies, and research centers/labs) from all over the world.
PDPTA'10 will be composed of research presentations, keynote lectures, invited presentations, tutorials, panel discussions, and poster presentations. In recent past, keynote/tutorial/panel speakers have included (as part of the federated event): Prof. David A. Patterson (pioneer/computer architecture, U. of California, Berkeley), Dr. K. Eric Drexler (known as Father of Nanotechnology), Prof. John H. Holland (known as Father of Genetic Algorithms; U. of Michigan), Prof. Ian Foster (known as Father of Grid Computing; U. of Chicago & ANL), Prof. Ruzena Bajcsy (pioneer/VR, U. of California, Berkeley), Prof. Barry Vercoe (Founding member of MIT Media Lab, MIT), Dr. Jim Gettys (known as X-man, developer of X Window System, xhost; OLPC), Prof. John Koza (known as Father of Genetic Programming, Stanford U.), Prof. Brian D. Athey (NIH Program Director, U. of Michigan), Prof. Viktor K. Prasanna (pioneer, U. of Southern California), Dr. Jose L. Munoz (NSF Program Director and Consultant), Prof. Jun Liu (Broad Institute of MIT & Harvard U.), Anousheh Ansari (CEO, Prodea Systems & first female private space explorer), and many other distinguished speakers. To get a feeling about the events' atmosphere, see the 2009 delegates photos and 2008 delegates photos
Topics of interest include, but are not limited to, the following:
o 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, ...
o Parallel/Distributed architectures: Clusters and parallel systems of various topologies, supercomputers, shared memory, distributed memory, general- and special-purpose architectures, instructional level parallelism, ...
o 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, ...
o Reliability and fault-tolerance: Software and hardware fault-tolerance (system- and application-level), fault diagnosis, fault-tolerance measurement.
o Building block processors: Applications of processors that can be used as basic building blocks for multicomputer systems.
o Real-time and embedded systems: Small-scale parallel systems for high-performance control, data acquisition, and analysis; configuration, routing, scheduling, performance guarantees, ...
o Parallel/Distributed algorithms: Algorithms exploiting clusters and general-purpose distributed and parallel systems, new vector/pipeline issues, shared memory, distributed memory, virtual memory, ...
o 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, ...
o Software tools and environments for parallel and distributed platforms: operating systems, compilers, languages, debuggers, monitoring tools, software engineering on parallel/distributed systems, ...
o High-performance computing in computational science: intra-disciplinary and multi-disciplinary research programs and applications
o Performance Evaluation and Management of Wireless Networks and Distributed Systems
o FPGA-based design
o Performance analysis, evaluation, prediction, ...
o Nanotechnology in HPC
o High-performance mobile computation and communication.
o Object oriented technology and related issues.
o Scheduling and resource management
o Petri Nets: theory, analysis, tools and applications
o Web-based simulation and computing
o Cloud computing
o Other aspects and applications relating to high-performance computations
o Emerging technologies