sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
FacebookTwitterGoogle PlusLinkedInYouTubeFlickr

SCHEDULE: NOV 15-20, 2015

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

Mitos: A Simple Interface for Complex Hardware Sampling and Attribution

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Alfredo Gimenez, Benafsh Husain, David Boehme, Todd Gamblin, Martin Schulz

ROOM:Level 4 - Lobby

ABSTRACT:

As high-performance architectures become more intricate and complex, so too do the capabilities to monitor their performance. In particular, hardware sampling mechanisms have extended beyond the traditional scope of code profiling to include performance data relevant to the data address space, hardware topology, and load latency. However, these new mechanisms do not adhere to a common specification and as such, require architecture-specific knowledge and setup to properly function. In addition, the incoming data is often low-level and difficult to attribute to any useful context without a high level of expertise. This has resulted in a destructively steep barrier to entry, both in data acquisition and analysis.

Mitos provides a simple interface for modern hardware sampling mechanisms and the ability to define attributions of low-level samples to intuitive contexts. We present the Mitos API and demonstrate how to use it to create detailed yet understandable visualizations of performance data for analysis.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Alfredo Gimenez - University of California, Davis

Benafsh Husain - Lawrence Livermore National Laboratory

David Boehme - Lawrence Livermore National Laboratory

Todd Gamblin - Lawrence Livermore National Laboratory

Martin Schulz - Lawrence Livermore National Laboratory

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar