I also won't be there.
From: Usatlas-hllhc-computing-l <usatlas-hllhc-computing-l-bounces AT lists.bnl.gov> on behalf of "Benjamin, Doug" <dbenjamin AT anl.gov>
Date: Monday, November 5, 2018 at 10:55 AM
To: Torre Wenaus <wenaus AT gmail.com>, Paolo Calafiura <pcalafiura AT lbl.gov>
Cc: "usatlas-hllhc-computing-l AT lists.bnl.gov" <usatlas-hllhc-computing-l AT lists.bnl.gov>
Subject: Re: [Usatlas-hllhc-computing-l] Fwd: [Users] NESAP Call for Proposals now open
Hello,
I will not be at the UTA meetings before all decisions will be taken will there be another
discussion?
Regards,
Doug Benjamin
On 11/05/2018 12:34 PM, Torre Wenaus wrote:
How best to start brainstorming? A discussion next week during the UTA meetings?
NERSC is starting a new round of NESAP postdocs (25 this time!) to prepare for NERSC perlmutter (aka NERSC 9). This is a good opportunity to get a postdoc or two to work on a variety of potential applications: from fastsim on GPUs, to ML
for tracking or simulation, to HPC remote data access, etc.
The deadline is Dec 18, so we should start brainstorming about possible workloads.
Paolo
---------- Forwarded message ----------
From: Brandon Cook <BGCook AT lbl.gov>
Date: Wed, Oct 31, 2018 at 1:43 PM
Subject: [Users] NESAP Call for Proposals now open
To: users AT nersc.gov
Dear NERSC Users,
The National Energy Research Scientific Computing (NERSC) Center is now accepting applications from NERSC users for the
NERSC Exascale Science Application Program
(NESAP).
NESAP will partner with 25 simulation, data-intensive and machine learning applications to prepare workloads for the upcoming
Perlmutter HPC system,
which features both CPU and heterogeneous compute nodes, multiple NVIDIA accelerators per node, an all-flash file system and new Cray interconnect, code-named Slingshot, which is designed for data-centric computing. This call is open to applications with all
levels of accelerator readiness.
-
NESAP for Simulations (N4S):
Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to factors such as larger model sizes, additional physics and parameter space searches. N4S enables
simulations to make effective use of modern high-performance computing platforms by focusing on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
-
NESAP for Data (N4D):
To answer today’s most complex experimental challenges, scientists are collecting exponentially more data and analyzing it with new computationally intensive
algorithms. N4D addresses data-intensive science pipelines that process massive datasets from experimental and observational science (EOS) facilities like synchrotron light sources, telescopes, microscopes, particle accelerators, or genome sequencers. The
goal is seamless integration and data flow between EOS facilities and supercomputing resources to enable scalable, real-time data analytics.
-
NESAP for Learning (N4L): Machine Learning (ML) and Deep Learning (DL) are powerful approaches to solving complicated classification, regression, and pattern
recognition problems. N4L focuses on developing and implementing cutting-edge ML/DL solutions to improve the potential for scientific discovery arising from experimental or simulation data, or in high-performance computing (HPC) applications by replacing parts
of the software stack or algorithms with ML/DL solutions.
Accepted teams will be partnered with resources at NERSC, Cray, and NVIDIA including access to:
-
NERSC Application Readiness staff assistance with code profiling and optimization
-
Collaboration with and assistance from NVIDIA and Cray engineers
-
Training sessions and hack-a-thons
-
Early access to GPU nodes on
Cori
-
Early access to Perlmutter
-
Opportunity for a postdoctoral researcher to be placed within your application team (NERSC will fund up to 17 positions)
Selected teams will be responsible for:
-
Providing a benchmark problem & figure of merit on Edison (and Cori)
-
Designating a point of contact for their code team (committing a recommended 0.5 FTE of effort per year on NESAP and related accelerator focused application-performance activities)
-
Production of intermediate and final reports detailing science results and performance improvement
Submissions will be evaluated on:
-
Computing resource usage within DOE Office of Science
-
Representation within the 6 Programs in the Office of Science
-
Potential for scientific advancements
-
Potential for transfer of improvements to broader community
-
Resources available to augment NERSC/vendor resources
-
Commitment from team (FTEs, etc)
This call will be open until December 18, 2018 12 PM PST and selections will be announced in January.
Apply to NESAP here
NERSC is also now accepting applications for
NESAP Postdoctoral Fellowships!
Best Regards,
Brandon Cook
_______________________________________________
Users mailing list
Users AT nersc.gov
--
_______________________________________________
Usatlas-hllhc-computing-l mailing list
Usatlas-hllhc-computing-l AT lists.bnl.gov
https://lists.bnl.gov/mailman/listinfo/usatlas-hllhc-computing-l
_______________________________________________
Usatlas-hllhc-computing-l mailing list
Usatlas-hllhc-computing-l AT lists.bnl.gov
https://lists.bnl.gov/mailman/listinfo/usatlas-hllhc-computing-l
|
