May 21 – 24, 2018
Fluno Center on the University of Wisconsin-Madison Campus
America/Chicago timezone

HTCondor in KBase - The DOE Systems Biology Knowledgebase

May 23, 2018, 2:55 PM
20m
Howard Auditorium (Fluno Center on the University of Wisconsin-Madison Campus)

Howard Auditorium

Fluno Center on the University of Wisconsin-Madison Campus

601 University Avenue, Madison, WI 53715-1035

Speakers

Boris Sadkhin (Argonne Lab) Daniel Murphy-Olson (Argonne Lab) Steve Chan (Lawrence Berkeley Lab)

Summary (2-4 sentences)<br>Just a few informal sentences describing what you want to present.<br>No need to spend a lot of time on this! You can change it later.

KBase is a collaborative Predictive Biology platform consolidating strongly typed Bioinformatics data, code and workflows. This platform promotes reproducibility and enables the use of data mining techniques to advance scientific discovery.
Recently KBase has begun conversion of its compute cluster from a simple task runner, to HTCondor. The primary motivation is to enable the use of scheduling policies that provide an improved user experience, as well as more efficient use of compute resources. We discuss our experiences converting to HTCondor: things that went quickly/easily and things that went slowly or had to be worked around.

Availability of the Speaker<br>Let us know if there are times you CANNOT present,<br>prehaps because you need to leave for the airport early, etc.

Not available on Thursday.

Primary authors

Daniel Murphy-Olson (Argonne Lab) Steve Chan (Lawrence Berkeley Lab)

Co-authors

Boris Sadkhin (Argonne Lab) Keith Keller (Lawrence Berkeley Lab)

Presentation materials