FPGA Acceleration of Binary Weighted Neural Network Inference
White Paper FPGA Acceleration of Binary Weighted Neural Network Inference One of the features of YOLOv3 is multiple-object recognition in a single image. We used
Join BittWare and Intel as we look at oneAPI™ with a focus on FPGAs. We will look at a real-world 2D FFT acceleration example which utilizes the Intel® Stratix® 10 MX including HBM2 memory on BittWare’s 520N-MX card.
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White Paper FPGA Acceleration of Binary Weighted Neural Network Inference One of the features of YOLOv3 is multiple-object recognition in a single image. We used
PCIe FPGA Card XUP-VV8 UltraScale+ FPGA PCIe Board with 4x QSFP-DDs 8x 100GbE Network Ports and VU9P/13P FPGA Need a Price Quote? Jump to Pricing
Go Back to IP & Solutions TCP/IP Offload Ethernet IP The TCP/IP (Transmission Control Protocol/ Internet Protocol) is an Ethernet IP core for FPGAs that
We examine our reference design for sustained 100 Gb/s capture to host DDR4 over a PCIe bus. Read the white paper, then request the App Note for even more detail!