
二進位加權神經網路推理的 FPGA 加速
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
TK242 from Atomic Rules is a bitstream that provides lossless packet capture for up to four 100GbE streams – out-of-the-box with no FPGA programming required. The TK242 IP runs on BittWare cards with Altera® Agilex™ FPGAs. Sustaining PCIe Gen5 x16 throughput over 400 Gb/s from Ethernet to user space host memory, TK242 provides a runtime programmable 400 Gb/s RSS filter, 6-tuple, 64K entry flow-table and queue routing. All formatting – including PCAP generation – is done in hardware, offloading that function from the host CPU. High-performance timing capability includes nanosecond-resolution packet head timestamping for fusing up to four 100GbE streams into a single time-monotonic ordered stream.
BittWare提供TeraBox集成伺服器,非常適合構建高密度捕獲解決方案
有許多方法可以將 TK242 用於您自己的解決方案。以下是其中的一些:
按原樣使用:開箱即用的隨插即用數據包捕獲解決方案。
使用原子規則提供的範例設計添加 FPGA 板、主機、插入和捕獲數據包。設計僅限於所演示的內容。
將主機應用程式代碼指向填充有PCAP格式位元組流的記憶體中的巨大頁面。
示例設計是您的起點。在數據包捕獲之前、期間和之後添加其他功能。大多數功能都是通過 DPDK.org 標準 API 程式設計的。
修改範例設計以提供其他功能。
例如,每個P2PCAP流都可以成為自己的libpcap流,為其自己的主機核心提供資訊。
FPGA Card | IA-420F | IA-440i | IA-780i | |||
Variant | 10G x2 | 100G x2 | 100G x2 | 200G x1 | 100G x2 | 100G x4 |
QSFP-DD Signaling | 10G NRZ on lanes 1 and 2 of the 8 lanes | 100GBASE-CR4 x2 on a single QSFP-DD | 100GBASE-CR4 x2 on a single QSFP-DD | 200BASE-CR4 as 4 lanes of 56G PAM4 | 100GBASE-CR4 x2 on a single QSFP-DD | 100GBASE-CR4 x2 on each of 2 QSFP-DDs |
PCIe | Gen4 x16 | Gen 5 x16 | ||||
RSS | 是的 | 不 | ||||
P2PCAP Engines | 4 | 8 | 4 | |||
Paced | 是的 | 不 |
用於網路和時間品質的FPGA IP元件和解決方案供應商。IP 產品包括用於主機記憶體和 FPGA 結構邏輯之間高輸送量、低延遲通信的 Arkville 數據行動器。
我們的技術銷售團隊隨時準備提供可用性和配置資訊,或回答您的技術問題。
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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
White Paper Synthetic Traffic Generator Reference Design Overview Synthetic traffic generators enable lab testing of FPGA designs with network ports. There are other applications, but
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