Name: Snowmass CompF4 Topical Group Workshop
Start: 2022-04-07T09:00:00-07:00
End: 2022-04-08T14:00:00-07:00
Location: No location set

Thursday, 7 April
- Wed, 6 Apr
- Thu, 7 Apr
- 1
  
  Intro and topical group overview
  
  Speaker: Wahid Bhimji (NERSC, Berkeley Lab)
  
  Introduction
- Networking
  
  Conveners: Chin Guok (ESnet), Eli Dart (ESnet / LBNL), Shawn McKee (Univ. of Michigan)
  
  Snowmass 2021 CompF04_ Networking (2).pdf
- Edge Services
  
  Convener: Ofer Rind (BNL)
  - 2
    
    Overview of Edge Services
    
    Speakers: Benjamin Weaver (NOIRLab), Ofer Rind (BNL)
    
    CompF4 Topical Workshop - Edge Services Overview.pdf
  - 3
    
    Managing Edge Services with SLATE
    
    Speaker: Robert Gardner (University of Chicago)
    
    SLATE for Snowmass CompF4 (1).pdf
    
    slides
- 10:20
  
  Break
- Analysis Facilities: Discussion: Analysis Facilities
  
  Conveners: Gordon Watts (University of Washington), Mark Neubauer (University of Illinois at Urbana-Champaign), Oksana Shadura (University of Nebraska Lincoln (US))
  
  CompF4_ Analysis Facility.pdf
  
  Slides - Source (may be protected - PDF is a copy)
  - 4
    
    Analysis Cyberinfrastructure: Challenges and Opportunities
    
    Speaker: Kevin Lannon (University of Notre Dame)
    
    AnalysisCI_Lightning_Lannon.pdf
  - 5
    
    Analysis Facilities for HL-LHC (DOE)
    
    Speaker: Doug Benjamin (Brookhaven National Laboratory (US))
    
    Snowmass-AF-DOE-1.pdf
  - 6
    
    Analysis Facilities for HL-LHC (NSF)
    
    Speakers: Lincoln Bryant (University of Chicago), Robert Gardner (University of Chicago)
    
    Future AF for HL LHC (HSF)
    
    Snowmass.pdf
  - 7
    
    Leveraging Cloud Native for designing, building and operating analysis facilities for USCMS
    
    Speaker: Maria Acosta
    
    Acossta_SnowmassCompF4.pdf
- AI Hardware
  
  Conveners: Javier Duarte (University of California San Diego), Nhan Tran (FNAL)
  - 8
    
    Overview of AI Hardware
    
    Speakers: Javier Duarte (University of California San Diego), Nhan Tran (FNAL)
    
    CompF04__AI Hardware.pdf
    
    slides
  - 9
    
    CompF3 (Machine Learning) Overlaps
    
    Speaker: Dylan Rankin (Massachusetts Institute of Technology)
    
    snowmass_compf4_ml_07Apr22.pdf
  - 10
    
    IF04 (TDAQ) Overlaps
    
    Speaker: Allison Deiana
    
    IF04_CompF4_Overlap.pdf
- 11:50
  
  Break
- Processing
  
  Conveners: Ian Fisk (Flatiron Institute), Meifeng Lin (BNL)
  - 11
    
    Processing Overview
    
    Comp4Processing.pptx
  - 12
    
    Evolution of resource provision models and the role of HPC
    
    Speaker: Wahid Bhimji (NERSC, Berkeley Lab)
    
    Slides
  - 13
    
    Heterogeneous hardware adoption and portability
    
    Speaker: Matti Kortelainen (Fermilab)
    
    20220407-CompF4_Portability.pdf
  - 14
    
    Authorization and Authentication Evolution
    
    Speaker: Brian Bockelman (Morgridge Institute for Research)
    
    AAI-Evolutions-Snowmass-Workshop.pdf
  - 15
    
    Discussion
- Storage
  
  Conveners: Bo Jayatilaka (Fermilab), Carlos Maltzahn (UC Santa Cruz), Peter van Gemmeren (ANL)
  - 16
    
    Overview of Storage Topics
    
    Speaker: Carlos Maltzahn (UC Santa Cruz)
    
    Overview of Storage Topics.pdf
    
    Slides
  - 17
    
    Data Storage for HEP Experiments in the Era of High-Performance Computing
    
    https://arxiv.org/abs/2203.07885
    
    Speaker: Amit Bashyal (Argonne National Lab)
    
    Snowmass_compf4_plenary_ver1.pdf
- 18
  
  Discussion
- 19
  
  Plan for tomorrow
Friday, 8 April
- Wed, 6 Apr
- Thu, 7 Apr
- AI Hardware
- Analysis Facilities: Discussion
  
  CompF4_ Analysis Facility.pdf
  
  Slides - Source (may be protected - PDF is a copy)
- Edge Services
- Networking: Networking Discussion
  
  Snowmass 2021 CompF04_ Networking (2).pdf
- Processing
- Storage: Topic Discussion
  
  Conveners: Bo Jayatilaka (Fermilab), Carlos Maltzahn, Peter van Gemmeren (ANL)
  - 20
    
    Upcoming Storage Features in ROOT
    
    Speakers: Jakob Blomer (CERN), Philippe Canal (FERMILAB)
    
    2022-Snowmass-Upcoming Storage Features in ROOT.pdf
  - 21
    
    Computational Storage
    
    What is Computational Storage? Who is Samsung's Memory Solutions Lab, what have we done, and what do we think we can do in the upcoming years.
    
    Speaker: Vitorio Cargnini (Samsung)
  - 22
    
    Distributed data management at JGI
    
    The DOE Joint Genome Institute is a user facility that generates genome sequence data and analysis products for the environmental research community. I’m an effort to be more resilient to outages, JGI has recently shifted to a distributed computing model. I will briefly describe our hierarchical data management system that complements our centralized workflow system.
    
    Speaker: Kjiersten Fagnan (LBL)
    
    SNOWMASS_JGI_Storage_2022.pptx
  - 23
    
    Data Context and Sharded Data - Erasure Coding for HDD Computational Storage
    
    Discussion of the need for data context at the storage device to perform data layout aware computations on the device. An example of structured data stored via an erasure coded data availability scheme and how it destroys data context at the device. Possible solutions are described.
    
    Speaker: Philip Kufeldt (Seagate)
    
    Data Context Research.pdf
- 10:00
  
  Break
- Bulleted list of priorities from each topic: Analysis Facilities; Storage: Processing: (20-25 mins each)
  
  Things agreed on - structure of report
  Things in limbo - for further workshops
  
  Convener: Wahid Bhimji (NERSC, Berkeley Lab)
  
  Comp4Processing_Discussion.pptx
  
  CompF4 Analysis Facility.pdf
- 11:40
  
  Break
- Bulleted list of priorities from each topic: AI Hardware; Edge Services; Networking (20-25 mins each)
  
  Things agreed on - structure of report
  Things in limbo - for further workshops
  
  Convener: Wahid Bhimji (NERSC, Berkeley Lab)
  
  Comp4Processing_Discussion.pptx
  
  CompF4 Analysis Facility.pdf
- 24
  
  Wrap up and Next Steps Towards Report