公开(公告)号：US10592322B1

公开(公告)日：2020-03-17

申请号：US15634696

申请日：2017-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Kiran Kalkunte Seshadri ,  Sundeep Amirineni ,  Nafea Bshara ,  Asif Khan

IPC: G06F11/00 ,  G06F11/07 ,  G06F11/30 ,  G06F11/34 ,  G06F11/32

Abstract: Disclosed herein are techniques for preventing or minimizing completion timeout errors on a computer device. An apparatus includes a processing logic circuit configured to perform transactions requested by a requester device, and a timeout prevention logic coupled to the processing logic circuit. The timeout prevention logic includes a timeout logic and a moderation logic. The timeout logic is configured to, when the processing logic circuit fails to complete a particular transaction requested by the requester device within a reconfigurable time period, generate a timeout event and complete the particular requested transaction. The moderation logic is configured to determine a number of timeout events generated by the timeout logic during a monitoring time period, and set the reconfigurable time period based on the number of timeout events generated by the timeout logic during the monitoring time period.

公开(公告)号：US20190294413A1

公开(公告)日：2019-09-26

申请号：US15934681

申请日：2018-03-23

Applicant: Amazon Technologies, Inc.

Inventor： Dana Michelle Vantrease ,  Randy Huang ,  Ron Diamant ,  Thomas Elmer ,  Sundeep Amirineni

IPC: G06F7/544 ,  G06F17/15 ,  G06N3/08

Abstract: Disclosed herein are techniques for accelerating convolution operations or other matrix multiplications in applications such as neural network. A computer-implemented method includes receiving low-precision inputs for a convolution operation from a storage device, and subtracting a low-precision value representing a high-precision zero value from the low-precision inputs to generate difference values, where the low-precision inputs are asymmetrically quantized from high-precision inputs. The method also includes performing multiplication and summation operations on the difference values to generate a sum of products, and generating a high-precision output by scaling the sum of products with a scaling factor.