NPPS Leadership Team

[Torre Wenaus <wenaus AT gmail.com>]

---------- Forwarded message ---------
From: Kleese Van Dam, Kerstin <kleese AT bnl.gov>
Date: Fri, Mar 26, 2021 at 4:38 PM
Subject: Two more ASCR calls
To: CSI Directorate <CSIDirectorate AT bnl.gov>, Campbell, Stuart <scampbell AT bnl.gov>, Wenaus,Torre J <wenaus AT bnl.gov>, Hill, John <hill AT bnl.gov>, Schoonen, Martin <mschoonen AT bnl.gov>, Misewich, James <misewich AT bnl.gov>, Denisov, Dmitri <denisovd AT bnl.gov>

Dear all,

ASCR released two more calls today, they are both coming from their applied math program, the second call might be of broader interest:

 

EXPRESS: Randomized Algorithms for Extreme-scale Science

• Call https://science.osti.gov/-/media/grants/pdf/foas/2021/SC_FOA_0002497.pdf
• Pre-Application due April 16^th 2021
• Full application due May 19^th 2021
• Funding: $400K/year
• Award period: 2 years
• Limitations: No more than 3 pre-applications per Lab, no more than one pre-application per PI
• Submission through Grant.gov
• Workshop report:
• Please notify me of your interest, by April  2^nd , send a CSI Pre-proposal to CSIProposals AT bnl.gov by April 10^th 2021. (form attached)

Research Topic:

The research and development of randomized algorithms will provide an important foundation for advances in AI, data science, and scientific computing. Fundamental properties of randomness can be harnessed to address massive data and post-Moore computational grand challenges. Research topic areas of interest include approaches for dealing with:

• High computation and communication complexity and the development of efficient algorithms,

• High data dimensionality and finding sparse representations for data from scientific instruments and user facilities,

• Better algorithm scalability for low-power, high-performance edge computing,

• Reduced ill-conditioning and sensitivity for inverse problems, and

• Improved algorithm reliability and robustness to noise.

 

Data-Intensive Scientific Machine Learning and Analysis

• Call https://science.osti.gov/-/media/grants/pdf/foas/2021/SC_FOA_0002493.pdf
• Pre-Application due April 23^rd 2021
• Full application due May 27^th 2021
• Funding: $200K-$800K/year – if collaborative no more than $1.2M/year total
• Award period: 3 years
• Limitations:2 pre-application led by BNL in multi-institutional teams, 1 pre-application per PI
• Submission through  Grants.gov
• Please notify me of your interest, by April 9^th  , send a CSI Pre-proposal to CSIProposals AT bnl.gov by April 16^th 2021. (form attached)

 

Workshop report:  https://www.osti.gov/biblio/1478744/

Research Topics:

The principal focus of this Program Announcement is on AI/ML for scientific inference and data analysis (PRD #4). Several recent Office of Science reports [1, 2, 3] have highlighted the benefits and computational, mathematical, and statistical challenges in dealing with massive, complex, and multi-modal data from simulations, experiments, and observations. Foundational research will be needed for developing reliable and efficient tools for scientific advances. Also, new techniques and approaches will likely be needed to reap scientific benefits from the extreme heterogeneity of scientific computing technologies (e.g., processors, memory and interconnect systems, sensors) that are emerging.

 

Good luck,

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

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