Technische Universitát Dresden

Nec Corporation

Emil Matus

Gerhard P Fettweis

Tomoyoshi Kobori

Steffen Kunze

Mohammed Radi

A device and a method for training a model are disclosed, wherein the method of training the model includes: first classifying a plurality of data packets using the model, wherein a first class is assigned to each data packet of a plurality of data packets, wherein the first class is associated with a receiver of a plurality of receivers; second classifying the plurality of data packets, wherein a second class is assigned to each data packet of the plurality of data packets, wherein the second class is associated with a receiver of the plurality of receivers; and training the model using the plurality of first classes and the plurality of second classes assigned to the plurality of data packets.

Device and method for training a model

In a multicore type error correction processing system which can simultaneously cope with a plurality of error correction methods and a plurality of code lengths, an interconnect parthas a barrel shifter which extends across a plurality of error correction processing parts-An error correction process can be selectively performed by collectively using a group of the plurality of the error correction processing parts-or by individually using each of individual error correction processing parts-in response to interconnection configuration information. With this structure, the plurality of the error correction processing parts-are collectively used if computation resources are insufficient and an idling error correction processing part is assigned to another error correction process if computation resources are excessive.

Growing community of inventors

Dresden, Germany

Emil Matus