Custom FPGA-based soft-processors for sparse graph acceleration

• Main Author: 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/10356/81243; http://hdl.handle.net/10220/39162
• Institution: Nanyang Technological University

FPGA-based soft processors customized for operations on sparse graphs can deliver significant performance improvements over conventional organizations (ARMv7 CPUs) for bulk synchronous sparse graph algorithms. We develop a stripped-down soft processor ISA to implement specific repetitive operations...