Amazon Technologies, Inc.

A9.com, Inc.

Kiuk Chung

Dougal Stuart Ballantyne

Rejith George Joseph

James Edward Kinney, Jr

Jason Roy Rupard

Chetan Hosmani

Aswin Damodar

Chris William Ramsey

Scott Michael Le Grand

Edward Kandrot

A scheduler of a batch job management service determines that a set of resources a client is insufficient to execute one or more jobs. The scheduler prepares a multi-dimensional statistical representation of resource requirements of the jobs, and transmits it to a resource controller. The resource controller uses the multi-dimensional representation and resource usage state information to make resource allocation change decisions.

Resource allocation and scheduling for batch jobs

Memory management is provided for processors, such as GPUs used to process data using a trained machine learning model. Requests received to a CPU can be stored to a request queue until the queue is full, or until a timeout value has been reached for periods of lower activity. The requests can then be batched and sent to a GPU as a single message on a single thread. Memory can be pre-allocated, and the trained model loaded into GPU memory once for processing of the relevant batches. The individual requests can be processed by the GPU and the results analyzed to determine at least a subset of results to return to the CPU, which can be provided back as results of the processing.

Batch processing of requests for trained machine learning model

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Seattle, WA, United States of America

Kiuk Chung