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. ...

• Type: Conference
• Year: 2007
• Where: CODES
• Authors: Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
• Keywords: CODES 2007, Hardware-Software Codesign, Prediction Model, Simulation Events, Single-chip Heterogeneous Multiprocessor