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CALL FOR PAPERS

COSMIC: international workshop on Code OptimiSation for MultI and many Cores

held in conjunction with the
International Symposium on Code Generation and Optimization (CGO) 2019

Website: http://workshops.inf.ed.ac.uk/cosmic/cosmic19

Washington DC – February 16 or 17, 2019
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Many-core architectures, such as mobile SOCs, GPGPUs, and deep learning
accelerators, are quickly becoming the norm in computing devices and consumer
electronics. While essential for high performance under the power and thermal
constraints we face, programmers still struggle with using them efficiently.
Which code can be parallelized profitably, which parallel patterns to use to
implement the algorithm, how to map it optimally to the available hardware?
Many-cores will provide high performance and energy efficiency only when we
make the right decisions for these problems. Solutions to these problems form
the core topic of COSMIC'19.

===Topic of Interest===
This workshop aims at examining different solutions to these problems and
includes (but is not limited to):

- programming languages and models
- compilers and tools
- runtime systems
- operating systems
- binary translation
- combinations of the above

for homogeneous, heterogeneous multi-core and many-core based systems.

Regular research papers, experience papers, and work-in-progress short papers are all welcome.
Papers accepted by COSMIC will be published electronically (publisher TBA)

===Important Dates===
Submission: December 2, 2018 – Anywhere on Earth
Author Notification: December 14, 2018
Workshop: February 16 or 17, 2019

===Organizers===
Pavlos Petoumenos, The University of Edinburgh, UK
Chris Cummins, University of Edinburgh and DeepMind, UK
Zheng Wang, Lancaster University, UK
Hugh Leather, The University of Edinburgh, UK

===Program Committee===
Bruno Bodin, Yale NUS College, Singapore
Jianbin Fang, NUDT, China
Rui Hou, University of Chinese Academy of Sciences, China
Nikolas Ioannou, IBM Zurich, Switzerland
Tim Jones, University of Cambridge, UK
Tongping Liu, The University of Texas at San Antonio, USA
Xing Liu, Intel, USA
Jeremy Singer, Glasgow University, UK
Bronis de Supinski, Lawrence Livermore National Laboratory, USA
Hans Vandierendonck, Queen's University Belfast, UK
Chronis Xekalakis, Esperanto Technologies, USA