
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
The PROVA-C appliance, running GENEM-C software from Siama, is available as an appliance using enterprise-class FPGA hardware and servers from BittWare.
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It's a 100G network test application to verify, monitor and troubleshoot Ethernet/IP network equipment and data center applications.
The GENEM-C application is designed for the test requirements of network equipment manufacturers, data centers, service provider telco cloud and 5G backhaul. The application runs on the PROVA-C appliance 1U server with 4× front-panel QSFPs and SMA timing interfaces.
A wide range of test features are available, including Service Activation Testing, Performance Management, and Traffic Generation. Packet filtering, capture and playback are also supported from the FPGA card’s 64GB DDR4 memory. GENEM-C is ideal for QA test and Service Providers migrating to a DevOps model to validate service turn-up and modifications in the production network. GENEM-C is equally at home in a lab environment. It bundles wire-rate traffic generation and analysis capabilities with a network emulator and packet capture/replay function in a single software license.
Fill out the form to get in touch for a price quote and receive a detailed data sheet on GENEM-C. We’ll also send you a case study from the previous generation GENEM-X application.
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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
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