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Scalable and Efficient Configuration of Time-Division Multiplexed Resources
Ref: CISTER-TR-151104       Publication Date: Mar 2016

Abstract:
Consumer-electronics systems are becoming increasingly complex as the number of integrated applications is growing. Some of these applications have real-time requirements, while other non-real-time applications only require good average performance. For cost-efficient design, contemporary platforms feature an increasing number of cores that share resources, such as memories and interconnects. However, resource sharing causes contention that must be resolved by a resource arbiter, such as Time-Division Multiplexing. A key challenge is to configure this arbiter to satisfy the bandwidth and latency requirements of the real-time applications, while maximizing the slack capacity to improve performance of their non-real-time counterparts. As this configuration problem is NP-hard, a sophisticated automated configuration method is required to avoid negatively impacting design time.
The main contributions of this article are: 1) An optimal approach that takes an existing integer linear programming (ILP) model addressing the problem and wraps it in a branch-and-price framework to improve scalability. 2) A faster heuristic algorithm that typically provides near-optimal solutions. 3) An experimental evaluation that quantitatively compares the branch-and- price approach to the previously formulated ILP model and the proposed heuristic . 4) A case study of an HD video and graphics processing system that demonstrates the practical applicability of the approach.

Anna Minaeva

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Benny Åkesson

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Zdeněk Hanzálek

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Přemysl Šůchaa