Name: Future Analysis Systems and Facilities
Start: 2020-10-26T09:00:00-05:00
End: 2020-10-27T16:00:00-05:00
Location: Zoom

Future Analysis Systems and Facilities

from Monday, 26 October 2020 (09:00) to Tuesday, 27 October 2020 (16:00)

Monday, 26 October 2020
09:00 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))
09:00 - 09:10
Room: Virtual
09:10 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))
09:10 - 09:30
Room: Virtual
09:30 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)
09:30 - 09:45
Room: Virtual
09:45 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))
09:45 - 10:00
Room: Virtual
10:00 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 - 10:15
Room: Virtual
10:15 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 - 10:35
Room: Virtual
10:35 Break
Break
10:35 - 10:50
Room: Virtual
10:50 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 - 11:05
Room: Virtual
11:05 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 - 11:20
Room: Virtual
11:20 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 - 11:40
Room: Virtual
11:40 Differentiable Programming (15'+5') - Miles Cranmer (Princeton University)
Differentiable Programming (15'+5')
- Miles Cranmer (Princeton University)
11:40 - 12:00
Room: Virtual
12:00 Distributed Gradients for Differentiable Analysis (10'+5') - Lukas Alexander Heinrich (CERN)
Distributed Gradients for Differentiable Analysis (10'+5')
- Lukas Alexander Heinrich (CERN)
12:00 - 12:15
Room: Virtual
12:15 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 - 12:30
Room: Virtual
12:30 Break
Break
12:30 - 13:00
Room: Virtual
13:00 Session 1
Session 1
13:00 - 14:05
Room: Virtual
Contributions

13:10 Example of Tying Together Components for an Analysis Pipeline - Giordon Holtsberg Stark (University of California,Santa Cruz (US))
14:05 Break
Break
14:05 - 14:15
Room: Virtual

14:15 Session 2
Session 2
14:15 - 15:20
Room: Virtual

15:20 Day 1 Wrap-up & Day 2 Outlook
Day 1 Wrap-up & Day 2 Outlook
15:20 - 15:30
Room: Virtual
Tuesday, 27 October 2020
09:00 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))
09:00 - 09:10
Room: Virtual
09:10 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))
09:10 - 09:25
Room: Virtual
09:25 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))
09:25 - 09:40
Room: Virtual
09:40 "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))
09:40 - 09:55
Room: Virtual
09:55 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))
09:55 - 10:15
Room: Virtual
10:15 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 - 10:30
Room: Virtual
10:30 Data Challenges (10'+10') - Frank Wurthwein (UCSD)
Data Challenges (10'+10')
- Frank Wurthwein (UCSD)
10:30 - 10:50
Room: Virtual
10:50 Break
Break
10:50 - 11:05
Room: Virtual
11:05 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 - 11:20
Room: Virtual
11:20 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 - 11:40
Room: Virtual
11:40 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 - 11:55
Room: Virtual
11:55 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 - 12:10
Room: Virtual
12:10 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 - 12:25
Room: Virtual
12:25 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 - 12:40
Room: Virtual
12:40 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 - 12:55
Room: Virtual
12:55 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 - 13:10
Room: Virtual
13:10 Break
Break
13:10 - 14:00
Room: Virtual

14:00 Session 1
Session 1
14:00 - 14:55
Room: Virtual

14:55 Session 2
Session 2
14:55 - 15:50
Room: Virtual

15:50 Day 2 Wrap-Up & Next Steps
Day 2 Wrap-Up & Next Steps
15:50 - 16:00
Room: Virtual

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