NPPS Leadership Team

[Torre Wenaus <wenaus AT gmail.com>]

---------- Forwarded message ---------
From: Kleese Van Dam, Kerstin <kleese AT bnl.gov>
Date: Fri, Mar 19, 2021 at 12:50 PM
Subject: 3rd New ASCR FOA - INTEGRATED COMPUTATIONAL AND DATA INFRASTRUCTURE (ICDI) FOR SCIENTIFIC DISCOVERY
To: CSI Directorate <CSIDirectorate AT bnl.gov>, Lauret, Jerome <jeromel AT bnl.gov>, Aschenauer, Elke <elke AT bnl.gov>, Schoonen, Martin <mschoonen AT bnl.gov>, McComiskey, Allison <amccomiskey AT bnl.gov>, Hill, John <hill AT bnl.gov>, Wilkins, Stuart <swilkins AT bnl.gov>, Campbell, Stuart <scampbell AT bnl.gov>, wenaus AT gmail.com <wenaus AT gmail.com>, David Brown <dlb AT lbl.gov>, Yager, Kevin <kyager AT bnl.gov>, Carini, Gabriella <carini AT bnl.gov>
Cc: Kleese Van Dam, Kerstin <kleese AT bnl.gov>

Dear all,

ASCR released today a 3^rd call for proposals – this time particularly focused on the computing infrastructure needed for AI at Facilities in the future.

Here are some key information about the call:

• Call attached  
• Pre-proposal 4/02/2021
• Full proposal 5/14/2021
• Pre-proposal to CSIProposals AT bnl.gov 3/26/2021 (form attached)
• Award size: $100Kyear to $2M/year

• Topic A – must be multi-organization - $1.5M to $2M
• Topic B – multi-organization - $1M to $1.25M
• Topic B – single investigator - $100K - $500K

Duration: 3 years Submission through Grants.gov Limitations: 3 Letters of Intent per Lab – unlimited collaborations We will organize a meeting next week to discuss ideas and to give the opportunity to ask questions

 

Core scope:

Topic A: Experimental/Computational/Computer Science collaborations: 

ASCR is soliciting applications from multiple investigators to accelerate scientific discovery by creating collaborative teams of applied mathematicians, experimental, computational, computer, and data scientists. The development of digital twin or surrogate model techniques whereby experimental analysis and computational simulations run simultaneously and feedback loops exist between these two tasks is one potential area of research to explore. 

Specific tasks include, but are not limited to: 

• Tools and services that support the Findable Accessible, Interoperable, Reusable (FAIR) data principles and support data use by disparate science communities. 

• AI/ML/DL methods that will accelerate the discovery of new correlations and aid science collaborations to operate more effectively. 

• Tools, algorithms, and services that advance digital twining methodologies by the sharing of machine data between experimental analysis and computational simulation, allow scientists to steer analysis or simulation results in real-time, or incorporate AI/ML/DL techniques allowing agents to act in concert with the scientist. 

• Workflows and services that advance peering partnerships by managing distributed computing infrastructures, increasing collaboration between team members, and ensuring that a wide range of computational and experimental resources can be used effectively for data collection, data analysis and simulation studies. 

 

Topic B: Intelligent Distributed Infrastructure Simulation Capabilities: 

ASCR is soliciting applications to develop the algorithms, methods, or services that would allow scientists and operations staff to examine, validate, simulate, and model the operation and performance characteristics of a distributed scientific infrastructure where no single organization manages every attached device or controls the software that manages this infrastructure. 

Specific tasks include, but are not limited to: 

• Individual tools and services that correlate data from log files, network trace data, and other sources to identify under-performing workflows. 

• Individual tools and services that capture unique measurement or monitoring data that can be correlated with other sources. 

• AI/ML/DL methods that will accelerate and significantly increase the size and speed of simulated topologies without lowering simulation fidelity. 

• Models and simulation services that can duplicate the physical infrastructure with sufficient fidelity to be a digital twin of that infrastructure. 

• Collaborative teams that integrate multiple tools or services into a larger complex infrastructure. 

 

 

 

 

 

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

 

--

-- Torre Wenaus, BNL NPPS Group, ATLAS Experiment

-- BNL 510A 1-222 | 631-681-7892 |  wenaus AT gmail.com | npps.bnl.gov | wenaus.com

-- NPPS Mattermost room: https://chat.sdcc.bnl.gov/npps/channels/town-square

Attachment: DE-FOA-0002482[92].pdf
Description: Adobe PDF document

Attachment: CSI Pre-Proposal Template.docx
Description: application/vnd.openxmlformats-officedocument.wordprocessingml.document