Black Sesame Technologies Inc.

Cisco Technology, Inc.

Xilinx, Inc.

Yi Wang

Zheng Qi

Sonal Santan

Hui Wang

Hem C Neema

Zheng Li

Khang Kim Dao

Kyle Corbett

Gil Mati Sheinfeld

Christopher J Case

Sarabjeet Singh

Wendy Wan-Ju Wang

Ming-Ching Yee

Ariel Hadass

Khang K Dao

The present invention relates to a method and a system for performing depthwise separable convolution on an input data in a convolutional neural network. The invention utilizes a heterogeneous architecture with a number of MAC arrays including 1D MAC arrays and 2D MAC arrays with a Winograd conversion logic to perform depthwise separable convolution. The depthwise separable convolution uses less weight parameters and thus less multiplications while it obtains the same computation results as the traditional convolution.

Heterogeneous architecture for depthwise-seperable convolution based neural network computation acceleration

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling, by an on-chip memory controller, a plurality of hardware components that are configured to perform computations to access a shared memory. One of the on-chip memory controller includes at least one backside arbitration controller communicatively coupled with a memory bank group and a first hardware component, wherein the at least one backside arbitration controller is configured to perform bus arbitrations to determine whether the first hardware component can access the memory bank group using a first memory access protocol; and a frontside arbitration controller communicatively coupled with the memory bank group and a second hardware component, wherein the frontside arbitration controller is configured to perform bus arbitrations to determine whether the second hardware component can access the memory bank group using a second memory access protocol different from the first memory access protocol.

High-performance on-chip memory controller

An extensible multi-precision data pipeline system, comprising, a local buffer that stores an input local data set in a local storage format, an input tensor shaper coupled to the local buffer that reads the input local data set and converts the input local data set into an input tensor data set having a tensor format of vector width N by tensor length L, a cascaded pipeline coupled to the input tensor shaper that routes the input tensor data set through at least one function stage resulting in an output tensor data set, an output tensor shaper coupled to the cascaded pipeline that converts the output tensor data set into an output local data set having the local storage format and wherein the output tensor shaper writes the output local data set to the local buffer.

Extensible multi-precision data pipeline for computing non-linear and arithmetic functions in artificial neural networks

A system may include a host processor coupled to a communication bus, a first hardware accelerator communicatively linked to the host processor through the communication bus, and a second hardware accelerator communicatively linked to the host processor through the communication bus. The first hardware accelerator and the second hardware accelerator are directly coupled through an accelerator link independent of the communication bus. The host processor is configured to initiate a data transfer between the first hardware accelerator and the second hardware accelerator directly through the accelerator link.

Unified address space for multiple hardware accelerators using dedicated low latency links

Methods and systems for improving user interaction with an object management tool are described. An objects tracking panel is displayed. The objects tracking panel includes a visual representation of one or more objects. Also, the objects tracking panel includes a visual representation of the relationships between the objects. A newly created object is detected. In response to the newly created object, the visual representation of one or more objects is updated to reflect the addition of the newly created object. Furthermore, the visual representation of relationships between the objects is updated to reflect the addition of the newly created object.

Method of improving user interaction with an object management tool

Growing community of inventors

San Jose, CA, United States of America

Yi Wang