Comparing soft and hard vector processing in FPGA-based embedded systems

• Main Authors: Soh, Jun Jie, Kapre, Nachiket
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: Computer Science and Engineering
• Online Access: https://hdl.handle.net/10356/81218; http://hdl.handle.net/10220/39132
• Institution: Nanyang Technological University

Soft vector processors can augment and extend the capability of embedded hard vector processors in FPGA-based SoCs such as the Xilinx Zynq. We develop a compiler framework and an auto-tuning runtime that optimizes and executes data-parallel computation either on the scalar ARM processor, the embedde...