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.
You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Michael Knobloch, Timo Minartz, Daniel Molka, Stephan Krempel, Thomas Ludwig, Bernd Mohr
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: The eeClust project aims at reducing the energy consumption of applications on a HPC cluster by an integrated approach of analysis, efficient management of hardware power-states and monitoring of the clusters power consumption.
The application is traced and the trace file is analyzed - manually with Vampir and automatically with Scalasca - to determine phases in the application with non-optimal hardware utilization. The source-code is then instrumented with API calls to control a daemon which switches hardware power-states at runtime. This daemon is aware of shared resources (e.g. the network interface) and only switches a resource to a lower power-state when all processes sharing that resource do not need it. The ParaStation Grid Monitor is used to monitor and visualize the power consumption and hardware usage of the cluster.
This poster gives an overview of the project and presents the analysis, hardware management and monitoring aspects in more detail.
Chair/Author Details:
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Michael Knobloch - Forschungszentrum Juelich
Timo Minartz - University Hamburg
Daniel Molka - Technical University Dresden
Stephan Krempel - ParTec Cluster Competence Center