12.
02.
2016
Multi-Processor Look-Ahead Scheduling
Hannes Weisbach
TU Dresden
Verteidigung der Master-Arbeit
This talk presents ATLAS-MP, a combination of runtime and kernel
scheduler, to process arbitrary collection of real-time jobs.
ATLAS-MP inherits the accessible API and execution time prediction
from the ATLAS infrastructure and extends it with primitives to
express intra-task parallelism. The scheduler is able to take full
advantage of SMP systems and balances load automatically over all
available processors.
I compare benchmark results with the theoretical utilization bounds of
ATLAS-MP and discuss current limitations as well as possible
strategies to refine the design of ATLAS-MP.
12.
02.
2016
S-RAPL - Hardware Based Energy Accounting for Multicore Systems
Till Smejkal
TU Dresden
Zwischenpräsentation der Diplomarbeit, Sondertermin: 12:30 Uhr, APB E001
Intel's Running Average Power Limit (RAPL) processor feature provides the
possibility to gather energy statistics about the processor. Various researchers
have already shown that these statistics can be used to calculate the energy
consumption of individual programs. However, their approaches are limited to
restricted systems which do not support processor sharing or which can just
utilize one processor. So far, nobody used RAPL for energy measurements in a
shared multicore system. In this talk, I will present an approach which tries to
achieve exactly this task. I will explain which obstacles need to be overcome to
solve the problem and present some first measurement results of my implementation.
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