Samsung Electronics Co., Ltd.

Samsung Eleotronicc Co., Ltd

Keshava Prasad

Dae-Hyun Kim

Kyoung-Hoon Kim

Hyun-Jung Kim

Young Hwan Park

Suk-jin Kim

Hyun-jung Kim

Dae-hyun Kim

Ho Rim Yang

Young-hwan Park

Dong-kwan Suh

Young-Hwan Park

Yeon Bok Lee

Han-su Cho

Kyoung-hoon Kim

Dong-Kwan Suh

Navneet Basutkar

Han-Su Cho

Provided are a method and apparatus for processing a convolution operation in a neural network. The apparatus may include a memory, and a processor configured to read, from the memory, one of divided blocks of input data stored in a memory; generate an output block by performing the convolution operation on the one of the divided blocks with a kernel; generate a feature map by using the output block, and write the feature map to the memory.

Device and method for processing convolution operation using kernel

A method and corresponding apparatus for processing a shuffle instruction are provided. Shuffle units are configured in a hierarchical structure, and each of the shuffle units generates a shuffled data element array by performing shuffling on an input data element array. In the hierarchical structure, which includes an upper shuffle unit and a lower shuffle unit, the shuffled data element array output from the lower shuffle unit is input to the upper shuffle unit as a portion of the input data element array for the upper shuffle unit.

Method and apparatus for shuffling data using hierarchical shuffle units

Provided is a loop scheduling method including scheduling a first loop using execution units, and scheduling a second loop using execution units available as a result of the scheduling of the first loop. An n-th loop (n&#x3e;2) may be scheduled using a result of scheduling an (n&#x2212;1)-th loop, similar to the (n&#x2212;1)-th loop. The first loop may be a higher priority loop than the second loop.

Method of scheduling loops for processor having a plurality of functional units

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Suwon-si, South Korea

Keshava Prasad