International Conference on Supercomputing, Istanbul, Türkei

Abbrevation

ICS

Link

http://ics16.bilkent.edu.tr/index.htm

City

Istanbul

Country

Turkey

Deadline Paper

2016-01-12

Start Date

2016-05-30

End Date

2016-06-01

Abstract

ICS is the premier international forum for the presentation of research results in high–performance computing systems and supercomputing. In 2016, the conference will be held in the city where two continents meet, Istanbul, Turkey. Papers are solicited on all aspects of research, development, implementation, use, and application of high–performance computing systems, including but not limited to the following: Computer architecture and hardware, including multicore, manycore and multiprocessor systems, accelerators, memory systems, on–chip and chip–to–chip interconnection networks, FPGA–based systems, heterogeneous systems, and storage architectures; Programming models for high–performance computing and supercomputing, including new paradigms, languages, debuggers and performance evaluation tools, as well as domain–specific language/programming support; Static and dynamic compilation support for high–performance computing including polyhedral models and auto–tuning tools; Runtime and system software support for high–performance computing as well as interface design between programming languages, compilers and system software; Power/energy management in high–performance computing, including measurement, distribution, and optimization aspects; Workload characterization and computationally–challenging scientific and commercial applications, particularly studies and experiences on large–scale systems; Big data analytics and cross–cutting issues between high–performance computing and database management systems; Parallel and distributed file system design, with an emphasis on systems targeting nonvolatile storage; Data structure and algorithm design for high–performance computing applications, and visualization systems; Experimental studies of real systems, including case studies to guide the design of future systems and solutions for efficiently scaling power, performance, reliability and sustainability.