Mark McDermott
Electrical and Computer Engineering C0803 ENS 36E University of Texas at Austin Austin, Texas 78712-0214 USA

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Journal : International Journal of Reconfigurable and Embedded Systems (IJRES)

Queued-Stack Dataflow Processing Element for a Cognitive Sensor Platform Mark McDermott
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 1, No 3: November 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.885 KB) | DOI: 10.11591/ijres.v1.i3.pp75-86

Abstract

This paper describes a Queued-Stack (QS) Dataflow Processing Element (DPE) that is used in a cognitive sensor platform. The queued-stack is used for buffering input data to the DPE and for storage of variables and results. The queuing mechanism and dataflow protocol provides the capability to compose multi-node computational systems where communication between elements is via non-blocking FIFO channels. System composition is achieved using synchronous dataflow tools such as SDF3 or Ptolemy. The dataflow-processing element is implemented using single cycle micro-coded engine where the ratio of datapath transistors to control logic is optimized for programmable energy-performance sensitive applications.