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As the density of field-programmable gate arrays continues to increase, the size of configuration bitstreams grows accordingly. Compression techniques can reduce memory size and save external memory bandwidth. To accelerate the configuration process and reduce the software startup time, four open-source lossless compression decoders developed using high-level synthesis techniques are presented. Moreover,...
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...
In recent years, convolutional neural networks (CNNs) based machine learning algorithms have been widely applied in computer vision applications. However, for large-scale CNNs, the computation-intensive, memory-intensive and resource-consuming features have brought many challenges to CNN implementations. This work proposes an end-to-end FPGA-based CNN accelerator with all the layers mapped on one...
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