IPDPS 2012 - 26th IEEE INTERNATIONAL PARALLEL AND DISTIRBUTED PROCESSING SYMPOSIUM (IPDPS 2012)

IPDPS 2012 Call for Participation
IPDPS travels to Shanghai in 2012. Our hosts from Shanghai Jiao Tong
University have been working with us to prepare for an event that offers
our usual program of workshops and technical program as well as a very
special opportunity for attendees and their families to visit Shanghai and
explore other parts of China. Join us at the Regal Shanghai East Hotel,
which offers full amenities and well appointed meeting rooms.
IPDPS 2012 CALL FOR PAPERS
SCOPE: Authors are invited to submit manuscripts that present original
unpublished research in all areas of parallel and distributed processing,
including the development of experimental or commercial systems. Work
focusing on emerging technologies is especially welcome. Topics of interest
include, but are not limited to:

?Parallel and distributed algorithms, focusing on issues such as: stability,
scalability, and fault-tolerance of algorithms and data structures for
parallel and distributed systems, communication and synchronization
protocols, network algorithms, scheduling, and load balancing.

?Applications of parallel and distributed computing, including web
applications, peer-to-peer computing, cloud and grid computing, scientific
applications, and mobile computing. Papers focusing on applications using
novel commercial or research architectures, or discussing scalability
toward the exascale level are encouraged.

?Parallel and distributed architectures, including architectures for
instruction-level and thread-level parallelism; petascale and exascale
systems designs; special-purpose architectures, including graphics
processors, signal processors, network processors, media accelerators, and
other special purpose processors and accelerators; impact of technology on
architecture; network and interconnect architectures; parallel I/O and
storage systems; architecture of the memory hierarchy; power-efficient
architectures; dependable architectures; and performance modeling and
evaluation.

?Parallel and distributed software, including parallel and multicore
programming languages and compilers, runtime systems, operating
systems, resource management, middleware for grids and clouds, libraries,
performance modeling and evaluation, parallel programming paradigms,
and programming environments and tools.