[hpc-announce] CFP: ASAP 2016, July 6th-8th, London, England

[David Thomas]

                       ASAP 2016

                http://www.asap2016.org/

    The 27th Annual IEEE International Conference on
Application-specific Systems, Architectures and Processors

          Jul 6th-8th 2016, London, England

Important Dates:

   Title and abstract submission: February 26th, 2016
   Full paper submission:         March 11th,    2016
   Notification of acceptance:    April 18th,    2016
   Conference:                    July 6th-8th,  2016

The ASAP 2016 conference will cover the theory and practice of
application-specific systems, architectures and processors. The
2016 conference will build upon traditional strengths in areas
such as computer arithmetic, cryptography, compression, signal
and image processing, network processing, reconfigurable computing,
and all types of hardware accelerators.

Organizing Committee for ASAP 2016

   General Chair:   David Thomas, Imperial College London
   Program Chair:   Suhaib Fahmy, University of Warwick
   Publicity Chair: Tobias Becker, Maxeler Technologies

Papers on the traditional topics of FCCM as described below
are solicited. Novel research in the general area of
reconfigurable computing is also encouraged.

We especially encourage submissions in the following areas:

Big data analytics: extracting and correlating information from
large-scale semi-structured and unstructured data using
application-specific systems.

Scientific computing: architectures and algorithms that address
scientific applications requiring significant computing power
and design customization (bioinformatics, climate modeling,
astrophysics, seismology, etc.).

Industrial computing: systems and architectures for providing
high- throughput or low latency in various industrial computing
applications.

System security: cryptographic hardware architectures, security
processors, countermeasures against side-channel attacks, and
secure cloud computing.

Heterogeneous systems: applications and platforms that exploit
heterogeneous computing resources, including FPGAs, GPUs, or CGRAs.

Design space exploration: methods for customizing and tuning
application- specific architectures to improve efficiency and
productivity.

Platform-specific architectures: novel architectures for
exploiting specific compute domains such as smartphones,
tablets, and data centers, particularly in the context of
energy efficiency.