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Photo credit: Westin Annapolis, Annapolis Maryland

CLSAC 2015

'Productive Analytics'

October 13-15, 2015
The Westin Annapolis
100 Westgate Circle
Annapolis, MD  21401

The ongoing massive growth of data presents enormous opportunities and challenges to government, business and science.  Taking advantage of the data, making sense of it, and extracting value requires a broad set of tools, technologies and skills – and remains quite challenging.  There is a constant churn of software and hardware technologies aimed at enabling ever-greater performance (Productivity) of systems, analytics and people. But are these ‘advances’ actually enabling analysts to be more productive?

At this fourth CLSAC workshop, we will discuss the requirements of large-scale data analytic workloads and productivity from the various perspectives of analysts, mathematicians, data scientists, developers, and computer architects.  How do we characterize and measure productivity? What math ‘works’ at what scale and accuracy?  What types of systems are optimal for which tasks?  At what scale do they ‘break’? What are the advantages/disadvantages of various languages in use today?  How do analysts work productively across multiple security or public/private domains?  Are there existing/planned analytic frameworks that scale, are platform independent, and useful to the novice user as well as the expert?

The workshop’s goals are to bring together thought leaders across Government, Industry and Academia to address these questions.

Organizing Committee:
         2015 Sponsors
John Feo (PNNL)
David Haglin (PNNL)
Dave Mountain (DoD)
Richard Murphy (Micron Technology)
Ron Oldfield (SNL)
Steve Pritchard (DoD)
Flavio Villanustre (LexisNexis)
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Program

clsac-final_agenda.pdf
File Size: 658 kb
File Type: pdf
Download File


Tuesday, October 13

8:45 – 12:00 p.m.
Session 1: System Productivity - Hardware
Converging Hadoop and HPC
Mac Dougherty, Cognitive Electronics
Designing network to scale high-performance analytics
Craig Stunkel, IBM
​From Cell Phones to Super Computers and the pivotal role of memory
​Steve Pawlowski, Micron
1:00 – 2:00 p.m. 
Keynote
 Big Analytics, DBMSs and HPC (PDF)
Michael Stonebraker, MIT
2:00 – 5:15 p.m.
Session 2: System Productivity – Software Stack
Scalable Automated Linking Technology (SALT) (PDF)
Edin Maharemagic, LexisNexis
Buried Alive! Massive Graph Analytics in 20 Lines of Code or Less
Jesse Shaw, LexisNexis
The Other HPC: High-Productivity Computing in Federated Big Dave Environments
Bill Howe, University of Washington

Wednesday, October 14

8:30 ​– 12:00 p.m.
Session 3: Human Productivity - Programming Models
Polystore, Julia, and Productivity in the Big Data World (PDF)
Tim Mattson, Intel
Enabling Efficient Analysis
Eric Dull, Deloitte and Touche, LLP
Why Predictive Analysis is Slow, and How to Fix It (PDF)
Art Munson, Context Relevant

Thursday, October 15

8:30 ​– 9:30 a.m.
Keynote
The Moore/Sloan Data Science Environments: Advancing Data-Intensive Discovery (PDF)
Ed Lazowska, University of Washington
9:30 ​– 12:30 p.m.
Session 4: Human Productivity ​– Math and SW Methods
Enhancing Human Performance at the Airport Security Checkpoint: Human Factors Research at the Transportation Security Administration
Bonnie Kudrick, TSA and Ann Speed, SNL
Building Tools for Urban Data Science
Claudio Silva, NYU
Finding Needles in Airport Haystacks
Andy Wilson, SNL
1:30 – 4:45 p.m.
Session 5: Applications and Productive User Scenarios
Integrative Multi-scale Analysis in Biomedical Data Science: Tools, Methods and Challenges
Joel Saltz, Stony Brook
Working Session: Leading and Managing Data Science Teams – What's 'Production'?
Clayton Chandler, Credit Suisse
Exploratory Data Analysis at Scale
J.T. Halbert, Tetra Concepts
The CLSAC web site is sponsored by the Association for High-Speed Computing.