Future Analysis Systems and Facilities
from
Monday, October 26, 2020 (9:00 AM)
to
Tuesday, October 27, 2020 (4:00 PM)
Monday, October 26, 2020
9:00 AM
Welcome, IRIS-HEP Blueprint Activity & Workshop Overview (10')
-
Mark Neubauer
(
Univ. Illinois at Urbana Champaign (US)
)
Welcome, IRIS-HEP Blueprint Activity & Workshop Overview (10')
Mark Neubauer
(
Univ. Illinois at Urbana Champaign (US)
)
9:00 AM - 9:10 AM
Room: Virtual
9:10 AM
End-to-End Analysis Vision & AS Grand Challenge (15'+5')
-
Kyle Stuart Cranmer
(
New York University (US)
)
End-to-End Analysis Vision & AS Grand Challenge (15'+5')
Kyle Stuart Cranmer
(
New York University (US)
)
9:10 AM - 9:30 AM
Room: Virtual
9:30 AM
Access & Manipulation of Complex Data Structures: Uproot & Awkward Array (10'+5')
-
Jim Pivarski
(
Princeton University
)
Access & Manipulation of Complex Data Structures: Uproot & Awkward Array (10'+5')
Jim Pivarski
(
Princeton University
)
9:30 AM - 9:45 AM
Room: Virtual
9:45 AM
Columnar Data Analysis: Coffea Tools (10'+5')
-
Nick Smith
(
Fermi National Accelerator Lab. (US)
)
Lindsey Gray
(
Fermi National Accelerator Lab. (US)
)
Columnar Data Analysis: Coffea Tools (10'+5')
Nick Smith
(
Fermi National Accelerator Lab. (US)
)
Lindsey Gray
(
Fermi National Accelerator Lab. (US)
)
9:45 AM - 10:00 AM
Room: Virtual
10:00 AM
Lorentz Vector Manipulation and Histogram Handling (10'+5)
-
Henry Fredrick Schreiner
(
Princeton University
)
Lorentz Vector Manipulation and Histogram Handling (10'+5)
Henry Fredrick Schreiner
(
Princeton University
)
10:00 AM - 10:15 AM
Room: Virtual
10:15 AM
Data Selection & Delivery for Analysis: ServiceX & funcADL (10'+10')
-
Mason Proffitt
(
University of Washington (US)
)
Data Selection & Delivery for Analysis: ServiceX & funcADL (10'+10')
Mason Proffitt
(
University of Washington (US)
)
10:15 AM - 10:35 AM
Room: Virtual
10:35 AM
Break
Break
10:35 AM - 10:50 AM
Room: Virtual
10:50 AM
An Integrated Data Query Pipeline: HEPTables (10'+5')
-
Gordon Watts
(
University of Washington (US)
)
An Integrated Data Query Pipeline: HEPTables (10'+5')
Gordon Watts
(
University of Washington (US)
)
10:50 AM - 11:05 AM
Room: Virtual
11:05 AM
Template-based Fitting: Cabinetry (10'+5')
-
Alexander Held
(
New York University (US)
)
Template-based Fitting: Cabinetry (10'+5')
Alexander Held
(
New York University (US)
)
11:05 AM - 11:20 AM
Room: Virtual
11:20 AM
Toward Fitting-as-a-Service with pyhf (10'+10')
-
Matthew Feickert
(
Univ. Illinois at Urbana Champaign (US)
)
Toward Fitting-as-a-Service with pyhf (10'+10')
Matthew Feickert
(
Univ. Illinois at Urbana Champaign (US)
)
11:20 AM - 11:40 AM
Room: Virtual
11:40 AM
Differentiable Programming (15'+5')
-
Miles Cranmer
(
Princeton University
)
Differentiable Programming (15'+5')
Miles Cranmer
(
Princeton University
)
11:40 AM - 12:00 PM
Room: Virtual
12:00 PM
Distributed Gradients for Differentiable Analysis (10'+5')
-
Lukas Alexander Heinrich
(
CERN
)
Distributed Gradients for Differentiable Analysis (10'+5')
Lukas Alexander Heinrich
(
CERN
)
12:00 PM - 12:15 PM
Room: Virtual
12:15 PM
Simulation-Based Inference: Madminer on REANA (10'+5')
-
Sinclert Perez Castano
(
New York University (US)
)
Simulation-Based Inference: Madminer on REANA (10'+5')
Sinclert Perez Castano
(
New York University (US)
)
12:15 PM - 12:30 PM
Room: Virtual
12:30 PM
Break
Break
12:30 PM - 1:00 PM
Room: Virtual
1:00 PM
Session 1
Session 1
1:00 PM - 2:05 PM
Room: Virtual
Contributions
1:10 PM
Example of Tying Together Components for an Analysis Pipeline
-
Giordon Holtsberg Stark
(
University of California,Santa Cruz (US)
)
2:05 PM
Break
Break
2:05 PM - 2:15 PM
Room: Virtual
2:15 PM
Session 2
Session 2
2:15 PM - 3:20 PM
Room: Virtual
3:20 PM
Day 1 Wrap-up & Day 2 Outlook
Day 1 Wrap-up & Day 2 Outlook
3:20 PM - 3:30 PM
Room: Virtual
Tuesday, October 27, 2020
9:00 AM
Summary & Outcomes from Day 1 (10')
-
Kyle Stuart Cranmer
(
New York University (US)
)
Brian Paul Bockelman
(
University of Wisconsin Madison (US)
)
Summary & Outcomes from Day 1 (10')
Kyle Stuart Cranmer
(
New York University (US)
)
Brian Paul Bockelman
(
University of Wisconsin Madison (US)
)
9:00 AM - 9:10 AM
Room: Virtual
9:10 AM
Analysis Facilities - US CMS Computing Operations Perspective (10'+5')
-
Brian Paul Bockelman
(
University of Wisconsin Madison (US)
)
Mike Hildreth
(
University of Notre Dame (US)
)
Analysis Facilities - US CMS Computing Operations Perspective (10'+5')
Brian Paul Bockelman
(
University of Wisconsin Madison (US)
)
Mike Hildreth
(
University of Notre Dame (US)
)
9:10 AM - 9:25 AM
Room: Virtual
9:25 AM
Analysis Facilities - US ATLAS Computing Operations Perspective (10'+5')
-
Kaushik De
(
University of Texas at Arlington (US)
)
Analysis Facilities - US ATLAS Computing Operations Perspective (10'+5')
Kaushik De
(
University of Texas at Arlington (US)
)
9:25 AM - 9:40 AM
Room: Virtual
9:40 AM
"Big Church" Analysis Facility Concept (10'+5')
-
Paolo Calafiura
(
Lawrence Berkeley National Lab. (US)
)
"Big Church" Analysis Facility Concept (10'+5')
Paolo Calafiura
(
Lawrence Berkeley National Lab. (US)
)
9:40 AM - 9:55 AM
Room: Virtual
9:55 AM
Prototyping Analysis Systems with the IRIS-HEP Scalable Systems Laboratory (10'+10')
-
Robert William Gardner Jr
(
University of Chicago (US)
)
Prototyping Analysis Systems with the IRIS-HEP Scalable Systems Laboratory (10'+10')
Robert William Gardner Jr
(
University of Chicago (US)
)
9:55 AM - 10:15 AM
Room: Virtual
10:15 AM
FABRIC: Friends of Physics (10'+5')
-
Anita NIkolich
(
University of Illinois at Urbana-Champaign
)
FABRIC: Friends of Physics (10'+5')
Anita NIkolich
(
University of Illinois at Urbana-Champaign
)
10:15 AM - 10:30 AM
Room: Virtual
10:30 AM
Data Challenges (10'+10')
-
Frank Wurthwein
(
UCSD
)
Data Challenges (10'+10')
Frank Wurthwein
(
UCSD
)
10:30 AM - 10:50 AM
Room: Virtual
10:50 AM
Break
Break
10:50 AM - 11:05 AM
Room: Virtual
11:05 AM
Toward Arrow-Native Storage and Coffea Processor Integration with SkyHookDM (10'+5')
-
Jeffrey Lefevre
(
University of California, Santa Cruz
)
Ivo Jimenez
(
UC Santa Cruz
)
Toward Arrow-Native Storage and Coffea Processor Integration with SkyHookDM (10'+5')
Jeffrey Lefevre
(
University of California, Santa Cruz
)
Ivo Jimenez
(
UC Santa Cruz
)
11:05 AM - 11:20 AM
Room: Virtual
11:20 AM
Analysis on LHC-Managed Facilities: Coffea-Casa (15'+5')
-
Oksana Shadura
(
University of Nebraska Lincoln (US)
)
Analysis on LHC-Managed Facilities: Coffea-Casa (15'+5')
Oksana Shadura
(
University of Nebraska Lincoln (US)
)
11:20 AM - 11:40 AM
Room: Virtual
11:40 AM
Analysis in the Cloud: Amazon Web Services (10'+5')
-
Harinder Singh Bawa
(
California State University (US)
)
Analysis in the Cloud: Amazon Web Services (10'+5')
Harinder Singh Bawa
(
California State University (US)
)
11:40 AM - 11:55 AM
Room: Virtual
11:55 AM
Analysis in the Cloud: Google Cloud Platform (10'+5')
-
Johannes Elmsheuser
(
Brookhaven National Laboratory (US)
)
Analysis in the Cloud: Google Cloud Platform (10'+5')
Johannes Elmsheuser
(
Brookhaven National Laboratory (US)
)
11:55 AM - 12:10 PM
Room: Virtual
12:10 PM
Hyper-parameter optimization for machine learning via iDDS on Grid and HPC Resources (10'+5')
-
Rui Zhang
(
University of Wisconsin Madison (US)
)
Hyper-parameter optimization for machine learning via iDDS on Grid and HPC Resources (10'+5')
Rui Zhang
(
University of Wisconsin Madison (US)
)
12:10 PM - 12:25 PM
Room: Virtual
12:25 PM
Scalable Parallel Analysis in Python on HPCs (10'+5')
-
James Kowalkowski
(
Fermi National Accelerator Lab. (US)
)
Saba Sehrish
(
Fermilab
)
Marc Paterno
(
Fermi National Accelerator Laboratory (FNAL)
)
Scalable Parallel Analysis in Python on HPCs (10'+5')
James Kowalkowski
(
Fermi National Accelerator Lab. (US)
)
Saba Sehrish
(
Fermilab
)
Marc Paterno
(
Fermi National Accelerator Laboratory (FNAL)
)
12:25 PM - 12:40 PM
Room: Virtual
12:40 PM
Reproducible Analysis Workflows on Heterogeneous Resources (10'+5')
-
Kenyi Paolo Hurtado Anampa
(
University of Notre Dame (US)
)
Reproducible Analysis Workflows on Heterogeneous Resources (10'+5')
Kenyi Paolo Hurtado Anampa
(
University of Notre Dame (US)
)
12:40 PM - 12:55 PM
Room: Virtual
12:55 PM
Excursion: Efficient Reinterpretation Campaigns with Active Learning (10'+5')
-
Irina Espejo Morales
(
New York University
)
Excursion: Efficient Reinterpretation Campaigns with Active Learning (10'+5')
Irina Espejo Morales
(
New York University
)
12:55 PM - 1:10 PM
Room: Virtual
1:10 PM
Break
Break
1:10 PM - 2:00 PM
Room: Virtual
2:00 PM
Session 1
Session 1
2:00 PM - 2:55 PM
Room: Virtual
2:55 PM
Session 2
Session 2
2:55 PM - 3:50 PM
Room: Virtual
3:50 PM
Day 2 Wrap-Up & Next Steps
Day 2 Wrap-Up & Next Steps
3:50 PM - 4:00 PM
Room: Virtual