公开(公告)号：US20160308649A1

公开(公告)日：2016-10-20

申请号：US14717721

申请日：2015-05-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Douglas C. Burger ,  Eric S. Chung ,  James R. Larus ,  Jan S. Gray ,  Andrew R. Putnam ,  Stephen F. Heil

IPC: H04L5/00 ,  H04L29/08

CPC classification number: H04L5/0053 ,  G06F9/5027 ,  H04L67/18

Abstract: A service mapping component (SMC) is described herein for allocating services to hardware acceleration components in a data processing system based on different kinds of triggering events. The data processing system is characterized by a hardware acceleration plane that is made up of the hardware acceleration components, together with a software plane that is made up of a plurality of software-driven host components. The SMC is configured to select, in response to a triggering event, at least one hardware acceleration component in the hardware plane to perform a service, based on at least one mapping consideration and based on availability information. Each host component in the software plane is then configured to access the service on one or more of the selected hardware acceleration component(s) via an associated local hardware acceleration component, or via some other route.

Abstract translation: 本文描述了一种服务映射组件（SMC），用于基于不同种类的触发事件向数据处理系统中的硬件加速组件分配服务。 数据处理系统的特征在于由硬件加速分量组成的硬件加速平面以及由多个软件驱动的主机组件组成的软件平面。 SMC被配置为基于至少一个映射考虑并基于可用性信息来选择响应于触发事件的硬件平面中的至少一个硬件加速组件来执行服务。 然后，软件平面中的每个主机组件被配置为经由相关联的本地硬件加速组件或经由某个其他路线访问所选择的硬件加速组件中的一个或多个上的服务。

公开(公告)号：US10332008B2

公开(公告)日：2019-06-25

申请号：US14216990

申请日：2014-03-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Douglas C. Burger ,  James R. Larus ,  Andrew Putnam ,  Jan Gray

IPC: G06N20/20 ,  G06N5/02 ,  G06F16/901 ,  G06F16/903

Abstract: A decision tree multi-processor system includes a plurality of decision tree processors that access a common feature vector and execute one or more decision trees with respect to the common feature vector. A related method includes providing a common feature vector to a plurality of decision tree processors implemented within an on-chip decision tree scoring system, and executing, by the plurality of decision tree processors, a plurality off decision trees, by reference to the common feature vector. A related decision tree-walking system includes feature storage that stores a common feature vector and a plurality of decision tree processors that access the common feature vector from the feature storage and execute a plurality of decision trees by comparing threshold values of the decision trees to feature values within the common feature vector.