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Manycore architectures are expected to dominate future general-purpose and application-specific computing systems. The ever-increasing number of on-chip processor cores and the associated interconnect complexities present significant challenges in the design, optimization and operation of these systems. In this paper, the authors investigate the applicability of intelligent, dynamic system-level optimization techniques in addressing some manycore design challenges such as dynamic resource allocation. In particular, they introduce hardware enabled system-level bidding-based algorithms as an efficient and real-time on-chip mechanism for resource allocation in homogeneous and heterogeneous (MPSoC) manycore architectures. They have also developed a low-level simulation framework, to evaluate the proposed bidding-based algorithms in several on-chip network-connected manycore configurations.
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