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2007
IEEE

Event-based re-training of statistical contention models for heterogeneous multiprocessors

11 years 4 months ago
Event-based re-training of statistical contention models for heterogeneous multiprocessors
Embedded single-chip heterogeneous multiprocessor (SCHM) systems experience frequent system events such as task preemption, power-saving voltage/frequency scaling, or arrival of new events/data from the outside world. Traditionally, the designers model these events by explicitly coupling them to corresponding simulation events within environments such as SystemC. However, this approach places a burden on the designer to identify which events are important enough to be captured by simulation, resulting in an overly conservative selection of events to model. This work presents a technique for de-coupling of system events from simulation events, removing the burden from the designer to determine which events significantly affect the system performance model, while decreasing simulation runtime. Enabling this de-coupling is a prediction model that quantifies the magnitude of changes introduced by system events, and identifies those important enough to be considered simulation events. ...
Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CODES
Authors Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
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