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This paper presents a new type of coarse-grained reconfigurable architecture (CGRA) for the object inference domain in machine learning. The proposed CGRA is optimized for stream processing and a correspondent programming model called dual-track model is proposed. The CGRA is realized in Verilog HDL and implemented in SMIC 55 nm process, with the footprint of 3.79 mm2 and consuming 1.79 W at 500 MHz...
Key-value stores (KVS) become critical in many applications because of the data explosion recently. There is a strong demand to improve the throughput and reduce the latency for KVS. FPGA-based parallel architecture can bring excellent performance and power efficiency. Cuckoo hashing has proven to be an efficient approach to implement KVS with good memory utilization and constant worst case access...
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