Topics of interest include, but are not limited to,
the following:
Big Data and High-Performance Computing:
Novel computational methodologies, HPC and scalable algorithms for
enhancing data quality, models and frameworks for Big Data, graph
algorithms, computational science, computational intelligence,
Scalable systems and architectures for Big Data, ...
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, ...
Energy/power-aware Computing:
Energy-aware resource management, green computing, energy efficiency
planning, energy-aware technologies, low power virtualization and
software techniques, low power logic/circuit/process technology
design, methods and tools for forecasting, estimating, and validating
power use, ...
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.
Cloud Computing.
Complex Systems, Theory and Applications.
Other Aspects and Applications relating to High-Performance Computations.
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