Manycore processor for video mining applications

Abstract

Through Architecture-Algorithm co-design for Video Mining Applications we designed a scalable Manycore processor consists of clustered heterogeneous cores with stream processing capabilities, and zero-overhead inter-process communication through FIFO with a hardware-software mechanism. For achieving high-performance and low-power consumption, especially so as to reduce memory access required for Video Mining Applications, each application is partitioned to exploit both task and data parallelism, and programmed as a distributed stream processing with relatively large local register-file based on Kahn Process Network model.