Call for Papers: The 2nd Annual PGAS Applications Workshop

Call for Papers: The 2nd Annual PGAS Applications Workshop

[Damian Rouson]

 

All,

Because Fortran is a PGAS language and many of you work with applications and/or know people who do, please consider submitting a paper to this workshop or passing the information along to someone who might do so. The extended deadline is August 15.

Damian


CALL FOR PAPERS  

PAW17: The 2nd Annual PGAS Applications Workshop  
http://sourceryinstitute.github.io/PAW/  

Held in conjunction with SC 17: The International Conference for  
High Performance Computing, Networking, Storage and Analysis  
http://sc17.supercomputing.org(http://sc17.supercomputing.org/)  

In cooperation with SIGHPC  


SUMMARY  

The race towards Exascale computing is on, and a lot of stress is put  
on researchers to break the boundaries of productivity and efficiency  
imposed by traditional programming models.  
Partitioned Global Address Space (PGAS) languages are an  
effective alternative, and the most promising path towards  
sustainable programming environments for exascale machines.  
Languages such as UPC, Fortran, Chapel, and X10 are now more widely  
available than ever, thanks to increased support from vendors and  
open-source communities. PGAS models also take the form of  
meta-languages and libraries, such as Unified Parallel C++ (UPC++),  
Co-Array C++, OpenSHMEM, MPI-3 and Global Arrays.  
These have the benefit of being integrated with existing languages,  
simplifying the learning curve for existing programmers.  

Significant improvements in the availability of PGAS compilers and  
support software have been achieved in the last few years; these  
open up more opportunities than ever for researchers  
and developers to test new strategies and port applications to more  
demanding requirements.  

Following on the success of PAW16, we invite you to take part  
in the second PGAS Application Workshop, and to join  
its vibrant and diverse community of researchers and developers.  

SCOPE AND AIMS  

The scope of the PAW workshop is to provide a forum for exhibiting  
case studies of PGAS programming models in the context of real-world  
applications as a means of better understanding practical  
applications of PGAS technologies. We encourage the submission of  
papers and talks detailing practical PGAS applications, including  
characterizations of scalability and performance, of expressiveness  
and programmability, as well as any downsides or areas for  
improvement in existing PGAS models. In addition to informing other  
application programmers about the potential that is available through  
PGAS programming, the workshop is designed to communicate these  
experiences to compiler vendors, library developers, and system  
architects in order to achieve broader support for PGAS programming  
across the community.  

We also specifically encourage submissions covering big data  
analytics, deep learning, and other novel and emerging application  
areas, beyond traditional scientific HPC domains.  

Topics include, but are not limited to:  

* Novel application development using the PGAS model.  
* Real-world examples demonstrating performance, compiler  
optimization, error checking, and/or reduced software complexity.  
* Applications from big data analytics, bioinformatics, and other  
novel areas.  
* Performance evaluation of applications running under PGAS.  
* Algorithmic models enabled by PGAS model.  
* Compiler and runtime environments.  
* Libraries using/supporting PGAS and applications.  
* Benefits of hardware abstraction and data  
locality on algorithm implementation.  

IMPORTANT DATES:  
* Extended Submission Deadline: August 15, 2017  
* Author Notification: September 1, 2017(http://airmail.calendar/2017-09-01%2012:00:00%20PDT)  
* Camera Ready: October 1, 2017(http://airmail.calendar/2017-10-01%2012:00:00%20PDT)  
* Workshop Date: November 13, 2017(http://airmail.calendar/2017-11-13%2012:00:00%20PST)  

SUBMISSIONS  

Submissions are solicited in two categories:  

a) Full-length papers presenting novel research results:  

Full-length papers will be published in the workshop proceedings in  
cooperation with SIGHPC. Submitted papers must be original work that  
has not appeared in, and is not under consideration for, another  
conference or a journal. Papers shall not exceed eight (8) pages  
including text, appendices, and figures. References are not included.  

b) Extended abstracts summarizing published/preliminary results:  

Extended abstracts will be evaluated separately and will  
not be included in the published proceedings; they are intended  
for timely communications of novel work that is going to be  
formally submitted elsewhere at a later stage, and/or of already  
published work that is nonetheless deemed appropriate for  
dissemination in this venue.  
Extended abstracts shall not exceed four (4) pages.  

Submissions shall be submitted through EasyChair  
(https://easychair.org/conferences/?conf=paw17); they must conform to  
ACM Guidelines (http://www.acm.org/publications/proceedings-template).  
Accepted full-length papers will be given longer presentation  
slots at the workshop; extended abstracts will be given shorter time  
slots.  

WORKSHOP CHAIR  
Karla Morris - Sandia National Laboratories  

ORGANIZING COMMITTEE  
* Bradford L. Chamberlain - Cray Inc.  
* Salvatore Filippone - Cranfield University  
* Costin Iancu - Lawrence Berkeley National Laboratory  
* Bill Long - Cray Inc.  

PROGRAM COMMITTEE CHAIR and CO-CHAIR  
* Francesco Rizzi - Sandia National Laboratories (Chair)  
* Bill Long - Cray Inc. (Co-Chair)  

PROGRAM COMMITTEE  
* Bradford L. Chamberlain - Cray Inc.  
* Bert de Jong - Lawrence Berkeley National Laboratory  
* James Dinan - Intel  
* Salvatore Filippone - Cranfield University, UK  
* Jeff Hammond - Intel  
* Costin Iancu - Lawrence Berkeley National Laboratory  
* Karla Morris - Sandia National Laboratories  
* Nicholas Park - U.S. Department of Defense  
* Anton Shterenlikht - University of Bristol  
* Min Si - Argonne National Laboratory  
* Lauren L. Smith - U.S. Department of Defense  
* Yili Zheng - Google  

ADVISORY COMMITTEE  
* Katherine A. Yelick - Lawrence Berkeley National Laboratory  
* Damian W. I. Rouson - Sourcery Institute  

In case of questions please email us at: paw17@cranfield.ac.uk(mailto:paw17@cranfield.ac.uk)