公开(公告)号：US20240248753A1

公开(公告)日：2024-07-25

申请号：US18099588

申请日：2023-01-20

Applicant: Arm Limited

Inventor： Elliot Maurice Simon ROSEMARINE ,  Alexander Eugene CHALFIN ,  Rune HOLM

IPC: G06F9/48

CPC classification number: G06F9/4881

Abstract: A processor to: receive a task to be executed, the task comprising a task-based parameter associated with the task, for use in determining a position, within an array of data descriptors, of a particular data descriptor of a particular portion of data to be processed in executing the task. Each of the data descriptors in the array of data descriptors has a predetermined size and is indicative of a location in a storage system of a respective portion of data. The processor derives, based on the task, array location data indicative of a location in the storage system of a predetermined data descriptor, and obtains the particular data descriptor, based on the array location data and the task-based parameter. The processor obtains the particular portion of data based on the particular data descriptor and processes the particular portion of data in executing the task.

公开(公告)号：US20220198243A1

公开(公告)日：2022-06-23

申请号：US17132750

申请日：2020-12-23

Applicant: Arm Limited

Inventor： John Wakefield BROTHERS, III ,  Kartikeya BHARDWAJ ,  Alexander Eugene CHALFIN ,  Danny Daysang LOH

IPC: G06N3/04

Abstract: A method of processing input data for a given layer of a neural network using a data processing system comprising compute resources for performing convolutional computations is described. The input data comprises a given set of input feature maps, IFMs, and a given set of filters. The method comprises generating a set of part-IFMs including pluralities of part-IFMs which correspond to respective IFMs, of the given set of IFMs. The method further includes grouping part-IFMs in the set of part-IFMs into a set of selections of part-IFMs. The method further includes convolving, by respective compute resources of the data processing system, the set of selections with the given set of filters to compute a set of part-output feature maps. A data processing system for processing input data for a given layer of a neural network is also described.

公开(公告)号：US20240248721A1

公开(公告)日：2024-07-25

申请号：US18414230

申请日：2024-01-16

Applicant: Arm Limited

Inventor： Rune HOLM ,  Alexander Eugene CHALFIN ,  Elliot Maurice Simon ROSEMARINE

IPC: G06F9/38

CPC classification number: G06F9/3838

Abstract: A method and apparatus for distributing operations for execution. Input data is received and is subdivided into portions, each comprising a first and second sub-portion. A first operation and a second operation are received. Dependencies between the first and second operations are identified. For each portion the first operation is issued for execution on the first sub-portion to produce a first output sub-portion, and completion is tracked. The first operation is issued for execution on the second sub-portion to produce a second output sub-portion. Depending upon satisfaction of the dependencies in respect of the first sub-portion, either the second operation to be executed on the first output sub-portion is issued, if the dependencies are met; or the second operation, to be executed on the first output sub-portion is stalled, if the dependencies are not met. This is repeated for each subsequent portion.

公开(公告)号：US20150015593A1

公开(公告)日：2015-01-15

申请号：US13940716

申请日：2013-07-12

Applicant: ARM LIMITED

Inventor： Alexander Eugene CHALFIN ,  Bradley Albert GRANTHAM

IPC: G06T1/20

CPC classification number: G06T1/20 ,  G06F9/3851 ,  G06T15/005 ,  G06T15/04 ,  G09G5/363

Abstract: A graphics processing pipeline includes a vertex transformation stage 14 having a vertex transformation cache 20. If a request to transform vertex data is received and the vertex transformation cache 20 indicates that the transformed vertex data for that received request has already been generated, then a pointer to that previously generated transformed vertex data is output within a result data stream in place of the transform vertex data. The transform vertex data is stored to a memory 10 before being retrieved as required by a rasterization stage 16.

Abstract translation: 图形处理流水线包括具有顶点变换高速缓存20的顶点变换阶段14.如果接收到转换顶点数据的请求，并且顶点变换高速缓存20指示已经生成了针对该接收到的请求的经变换的顶点数据，则指针 到先前生成的变换顶点数据在结果数据流中输出，而不是变换顶点数据。 变换顶点数据在被光栅化阶段16所要求的被检索之前被存储到存储器10中。