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The Parallella is a hybrid computing platform that came into existence as the result of a Kickstarter project by Adapteva. It is composed of the high performance, energy-efficient, manycore architecture, Epiphany chip (used as co-processor) and one Zynq-7000 series chip, which normally runs a regular Linux OS version, serves as the main processor, and implements "glue logic" in its internal FPGA to communicate with the many interfaces in the Parallella. In this paper an Epiphany-accelerated BLAS library for the Parallella platform was created (which could be suitable, also, for similar hybrid platforms that include the Epiphany chip as a coprocessor). For the actual instantiation of the BLAS, the BLIS framework was used. There have been previous implementations of Matrix-Matrix multiplication, on this platform, that achieved very good performances inside the Epiphany chip (up to 85% of peak), but not so good ones for the complete Parallella platform (due to inter-chip data transfer bandwidth limitations). The main purpose of this work was to get closer to practical Linear Algebra aplications for the entire Parallella platform, with Scientific Computing and, in the long run, Big Data applications, in view.

2016 ieee 14th intl conf on dependable, autonomic and secure computing, 14th intl conf on pervasive intelligence and computing, 2nd intl conf on big data intelligence and computing and cyber science and technology congress(dasc/picom/datacom/cyberscitech)

Generation of the Single Precision BLAS Library for the Parallella Platform, with Epiphany Co-processor Acceleration, Using the BLIS Framework