ADAPT: An adaptive manycore methodology for software pipelined applications

Zhang, Xi; Javaid, Haris; Shafique, Muhammad; Ambrose, Jude Angelo; Henkel, Jörg; Parameswaran, Sri

doi:10.1109/aspdac.2015.7059092

Cited by 2 publications

(2 citation statements)

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“…To be more specific, the bottleneck of the dataflow graph in terms of throughput is identified on the fly and the execution of the identified task is accelerated by means of task duplication. Zhang et al [16] also proposed a similar online detection and dataflow adaptation framework, called ADAPT, to optimize the throughput even in dynamic execution scenarios. In addition to the task duplication, they also considered flexible pipeline stage management.…”

Section: Related Workmentioning

confidence: 99%

“…3) The proposed technique is more general in applying various kinds of design constraints and objectives. Note that the existing online optimization techniques [15], [16], [20] only focused on maximizing throughput without guaranteeing any design properties like worstcase power or latency. Due to the fundamental limitation of online optimization, they are not suitable for the design of real-time or power-constrained systems.…”

Section: Related Workmentioning

confidence: 99%

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Efficiently Switchable Context-Aware Dataflow Adaptation Technique for Low-Power Multi-Core Embedded Systems

Jung

Yang

2019

IEEE Access

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Today's embedded systems operate under increasingly dynamic conditions. First, computational workloads can be either variable by nature or adjustable. Moreover, as many devices are batterypowered, it is common to have runtime power management technique, which results in dynamic power budget. This paper presents a design methodology for multi-core systems, based on dataflow specification, that can deal with various contexts. We optimize the original dataflow considering various working conditions, then, autonomously adapt it to a pre-defined optimal form in response to context changes. Such context changes at runtime might cause non-negligible delay or power budget violation. In order to overcome them, an efficient mode switching method is proposed. We show the effectiveness of the proposed technique with a real-life case study, stereo-vision, and synthetic benchmarks.INDEX TERMS Context-awareness, dataflow adaptation, low-power electronics, mode switching, multicore processing.

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Section: Related Workmentioning

confidence: 99%