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

Abbrevation

ASAP

Link

http://www.asap2016.org/

City

London

Country

Deadline Paper

2016-03-11

Start Date

2016-07-06

End Date

2016-07-08

Abstract

The 27th IEEE International Conference on Application–specific Systems, Architectures and Processors 2014 takes place July 6–8, 2016 in London, England. The 2016 edition of the conference is organized by Imperial College London. The history of the event traces back to the International Workshop on Systolic Arrays, organized in 1986 in Oxford, UK. It later developed into the International Conference on Application Specific Array Processors. With its current title, it was organized for the first time in Chicago, USA in 1996. Since then it has alternated between Europe and North–America. The 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, application–specific instruction–set processors, and hardware accelerators. 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.