Python-Based Programming Framework for a Heterogeneous MapReduce Architecture

Abstract

This paper presents a low-maintenance, short development-cycle programming framework (MRAFW) which allows writing and running software for a custom heterogeneous pseudo-reconfigurable computing system integrating a MapReduce Accelerator. The target system implementation is based on AMD/Xilinx's Zynq SoC hardware platform. The programming framework uses the PYNQ software package to enable access to the system resources and to manage CPU-FPGA program and data transfers. Furthermore, we provide a library of optimized low-level functions that offer support for executing some basic linear algebra operations.