US ATLAS HL-LHC computing discussion

[Torre Wenaus <wenaus AT gmail.com>]

---------- Forwarded message ---------
From: Kleese Van Dam, Kerstin <kleese AT bnl.gov>
Date: Wed, Mar 20, 2019 at 6:31 PM
Subject: Fw: 2019 Autonomic Infrastructure for Science workshop || Call for Paper
To: Jha, Shantenu <shantenu AT bnl.gov>, Yoo, Shinjae <sjyoo AT bnl.gov>, Wenaus,Torre J <wenaus AT bnl.gov>, Alexander, Francis <falexander AT bnl.gov>
Cc: Kleese Van Dam, Kerstin <kleese AT bnl.gov>

Dear all,

please see the workshop call for papers attached, focussed on large scale workflows and their effective resource management, potentially utilizing AI or machine learning. Please consider submitting papers.

Best wishes,

Kerstin 

Kerstin Kleese van Dam

Director Computational Science Initiative

Brookhaven National Laboratory

Building 725, room 2-127B

PO Box 5000

Upton, New York, 11973-5000

Phone 631 344-6019

Cell 509 221-0758

Kleese AT bnl.gov

---

From: Liu, Zhengchun <zhengchun.liu AT anl.gov>
Sent: Wednesday, March 20, 2019 11:14 AM
To: Zhengchun Liu
Subject: 2019 Autonomic Infrastructure for Science workshop || Call for Paper

 

Dear Autonomic Infrastructure for Science workshop committee member, 

Thanks for serving as the Program Committee of the 2nd AI-Science workshop. 

AI-Science 2019 (the 2nd International Workshop on Autonomic Infrastructure for Science) will be held in conjunction with ACM HPDC'19, in Phoenix, Arizona, USA, June 24-28, 2019 (http://www.hpdc.org/2019/).

Please help advertising our Call for Paper, and consider submitting papers. Attached please find the our CFP in pdf and txt format.

More information about the workshop is available at: https://ai-science.github.io.

Thanks,
Publicity Chair
Zhengchun Liu
University of Chicago, Argonne National Laboratory, USA

Call for Papers
The 2nd Autonomic Infrastructure for Science workshop (AI-science) 

https://easychair.org/conferences/?conf=aiscience19

To be held in conjunction with ACM HPDC 2019 in Phoenix, Arizona, June 24, 
2019.

IMPORTANT DATES
==================
Submissions Due: Apr 2, 2019
Review Decisions: Apr 23, 2019
Final Manuscript Due: May 6, 2019

SCOPE
==================
Large-scale scientific computing systems have become so complex, autonomic 
management is required to deploy, operate, and tune. Yet the current 
state-of-the-art for managing high performance and distributed computing 
infrastructures does not leverage the recent advances in machine learning to 
more accurately predict, diagnose, and improve systems in response to user 
computation and system health. This workshop is focused on the emerging 
science of autonomic management and optimization of large, distributed 
scientific computing systems.
Complex scientific workflows consist of thousands of interconnected systems 
that are geographically distributed. With resources from telescopes and light 
sources to fast networks and smart IoT sensor systems, it is clear that a 
single, centralized, operational team and software stack cannot coordinate 
and manage all of the resources. Instead, resources must begin to respond 
autonomically, managing and tuning their behavior in response to scientific 
workflows. The objective of this workshop is to discuss new approaches and 
methods to make the science ecosystem smart by incorporating the functions of 
sensing, intelligence, and control. We intend to bring together researchers 
working on smart and autonomic computing and communication systems, 
researchers working on middleware and tools to enable distributed science, 
developers that build distributed science workflows and science users. By 
bringing together these stakeholders, we hope to foster active discussions, 
understand the gaps between existing components in distributed science 
ecosystems and make progress towards bridging the gaps to realize a smart 
cyberinfrastructure for science.
Important Dates

SUBMISSIONS
==================
All papers must be original and not simultaneously submitted to another 
journal or conference. Authors are invited to submit either a full (8-page) 
paper or a short/work-in-progress (4-page) paper. Submission link: 
https://easychair.org/conferences/?conf=aiscience19
Formatting
Authors are invited to submit papers with unpublished, original work of not 
more than 8 pages of double column text using single spaced 10 point size on 
8.5 x 11 inch pages (including all text, figures, and references), as per ACM 
8.5 x 11 manuscript guidelines (document templates can be found at 
http://www.acm.org/sigs/publications/proceedings-templates). Papers will be 
peer-reviewed, and accepted papers will be published in the workshop 
proceedings as part of the ACM digital library.

TOPICS
==================
* autonomic cyberinfrastructure
* Smart HPC, storage and networks
* Intelligent distributed workflow applications
* Real-time, streaming-based data processing and analysis
* Light-weight machine learning
* Networked autonomic systems and consensus
* Smart instruments, edge-systems, and IoTs
* Data monitoring, instrumentation and management for smart systems
* Peer-to-peer communication for networked autonomic systems
* Data analytics for edge systems and IoTs

ORGANIZERS
==================
Program Committee
* Pete Beckman, Argonne National Laboratory, USA
* Alok Choudhary, Northwestern University, USA
* Dipak Ghosal, University of California, Davis, USA
* Hai Jin, Huazhong University of Science and Technology, China
* Eun-Sung Jung, Hongik University, South Korea
* Raj Kettimuthu, Argonne National Laboratory, USA
* Jinoh Kim, Texas A&M University, USA
* Mariam Kiran, Energy Sciences Network, USA
* Kerstin Kleese van Dam, Brookhaven National Laboratory, USA
* Wei-keng Liao, Northwestern University, USA
* Nagi Rao, Oak Ridge National Laboratory, USA
* Eric Rutten, INRIA, France
* Alex Sim, Lawrence Berkeley National Laboratory, USA
* John Wu, Lawrence Berkeley National Laboratory, USA
* Ramin Yahyapour, University of Göttingen, Germany
* Alessandro Vittorio Papadopoulos, Malardalen University, Sweden
* Swann Perarnau, Argonne National Laboratory, USA 
* Ming Zhao, Arizona State University, USA
* Erik Elmroth, Umeå University, Sweden

Organizing committee
* Pete Beckman, Argonne National Laboratory, USA
* Raj Kettimuthu, Argonne National Laboratory, USA
* Alex Sim, Lawrence Berkeley National Laboratory, USA
* Eric Rutten, INRIA, France

Publicity Chair
* Zhengchun, University of Chicago and Argonne National Laboratory, USA

CONTACT
====================
All questions about submissions should be emailed to ai-science AT mcs.anl.gov. 
More information is available at https://ai-science.github.io/.

Attachment: CFP-ai-science-2019.pdf
Description: Adobe PDF document