Journal of Signal Processing Systems,
vol. 69, no. 3, pp. 279-291, May 19, 2012.
Communication-Aware Heterogeneous Multiprocessor Mapping for
Real-time Streaming Systems
Andreas Gerstlauer and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
Paper Draft -
Real-time streaming signal processing systems typically desire
high throughput and low latency.
Many such systems can be modeled as synchronous data flow graphs.
In this paper, we address the problem of multi-objective mapping
of SDF graphs onto heterogeneous multiprocessor platforms, where
we account for the overhead of bus-based inter-processor communication.
The primary contributions include
In our simulations, the proposed heuristic shows up to 12x run-time
efficiency compared to the global ILP while maintaining a
10-6 optimality gap in throughput.
- an integer linear programming (ILP) model that globally
optimizes throughput, latency and cost;
- low-complexity two-stage heuristics based on a combination of
an evolutionary algorithm with an ILP to generate either a
single sub-optimal mapping solution or a Pareto front for
design space optimization.
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