With port speeds exceeding 100Gbps, route lookups that are fundamental to all routers have relied on ternary content addressable memories (TCAMs) to provide a lookup response within a clock cycle.
In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system.
STOCKHOLM, Jan. 31, 2019 /PRNewswire/ -- Enea® (Nasdaq Stockholm: ENEA) has signed an agreement with a total value of 4.2 MUSD over two years, covering embedded Deep Packet Inspection (DPI) software ...
Claimed as the industry’s fastest multi-field packet classification co-processor, the iFlow Classifier (iCL) is a high-performance networking coprocessor combining classification performance in excess ...
The GME product offering includes software, firmware and RTL and utilizes a common API and common RTL interface to facilitate platform portability. MoSys announced that its Graph Memory Engine (GME) ...
STOCKHOLM, June 13, 2019 /PRNewswire/ -- Enea has signed an agreement with a total value of 2.8 MUSD over two years, covering embedded Deep Packet Inspection (DPI) technology for a US-based market ...
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