Marvell Asia Pte., Ltd.

Rishan Tan

Avinash Sodani

Ulf Hanebutte

Chia-Hsin Chen

Senad Durakovic

Hamid Reza Ghasemi

Soumya Gollamudi

A method includes receiving an input data at a FP arithmetic operating unit configured to perform a FP arithmetic operation on the input data. The method further includes determining whether the received input data generates a FP hardware exception responsive to the FP arithmetic operation on the input data, wherein the determining occurs prior to performing the FP arithmetic operation. The method also includes converting a value of the received input data to a modified value responsive to the determining that the received input data generates the FP hardware exception, wherein the converting eliminates generation of the FP hardware exception responsive to the FP arithmetic operation on the input data.

System and method for handling floating point hardware exception

A processing unit of an inference engine for machine learning (ML) includes a first data load steamer, a second data load streamer, an operator component, and a store streamer. The first data load streamer streams a first data stream from an on-chip memory (OCM) to the operator component. The second data load streamer streams a second data stream from the OCM to the operator component. The operator component performs a matrix operation on the first data stream and the second data stream. The store streamer receives a data output stream from the operator component and to store the data output stream in a buffer.

Architecture for irregular operations in machine learning inference engine

Growing community of inventors

San Jose, CA, United States of America

Rishan Tan