PYNQでミニAWS EC2 F1

Vengineerの戯言 : Twitter、Slideshare
SystemVerilogの世界へようこそ、すべては、SystemC v0.9公開から始まった

VINEYARD Project gets 2x-10x speedup in Apache Spark Machine-Learning App from cloud-based FPGA acceleration

によると、

引用
  The VINEYARD development team first prototyped their idea 
  by creating a small model of the AWS EC2 F1 could-based system 
  using four Digilent PYNQ-Z1 dev boards networked together via Ethernet and the Python-based, 
  open-source PYNQ software development environment. 

  Digilent’s PYNQ-Z1 dev boards are based on Xilinx Zynq Z-7020 SoCs. 
  Even this small prototype dramatically doubled the performance relative to a Xeon server.

Youtubeのビデオ：VINEYARD's presentation at the SPARK Summit 2017 in Dublin

AWS EC2 F1を使うだけでなく、PYNQを4台使って、ミニシステム作ったって。。。

これも関係するかな。
Spark acceleration on FPGAs: A use case on machine learning in Pynq
VINEYARD H2020
SPynq: Spark on Pynq
ビデオ：SPynq: Spark on Pynq, Xilinx XOHW17, XIL-93939