Microsoft Technology Licensing, LLC

The University of Texas System

Doug Burger

Eric S Chung

Stephen William Keckler

Adrian Michael Caulfield

Stelios Paparizos

Derek Chiou

Jeremy P Condit

Eric J Horvitz

Karin Strauss

James Armand Baldwin

Aaron L Smith

Todd E Holmdahl

Lili Cheng

Joseph H Matthews, Iii

Jan Stephen Gray

Edmund Bernard Nightingale

James R Larus

Roger Shane Barga

Jay B Schiller

Vinay Gupta

Engin Ipek

Christopher Frost

Gur Kimchi

Marc Eliot Davis

Eyal Ofek

Xuedong D Huang

Joel Steven Kollin

Thomas Charles Oliver

Adrian Travis

Jaron Zepel Lanier

Benjamin C Lee

John Clavin

Dimitrios Lymberopoulos

Oriana Riva

Megan Lesley Tedesco

David Rogers Treadwell, Iii

Changkyu Kim

Nitya Ranganathan

Haiming Liu

Hadi Esmaeilzadeh

Gennady Pekhimenko

Dong Li

Andreas Georgiou

Aaron Smith

Methods, procedures, apparatuses, computer programs, computer-accessible mediums, processing arrangements and systems generally related to data multi-casting in a distributed processor architecture are described. Various implementations may include identifying a plurality of target instructions that are configured to receive a first message from a source; providing target routing instructions to the first message for each of the target instructions including selected information commonly shared by the target instructions; and, when two of the identified target instructions are located in different directions from one another relative to a router, replicating the first message and routing the replicated messages to each of the identified target instructions in the different directions. The providing target routing instructions may further comprise the selected information utilizing a subset of bits that is commonly shared by the target instructions and being identified as a left operand, right operand or predicate operand, and may include the selection of one of a plurality of multiple-instruction subsets of the target instructions.

Data multicasting with router replication and target instruction identification in a distributed multi-core processing architecture

A smart NIC (Network Interface Card) is provided with features to enable the smart NIC to operate as an in-line NIC between a host's NIC and a network. The smart NIC provides pass-through transmission of network flows for the host. Packets sent to and from the host pass through the smart NIC. As a pass-through point, the smart NIC is able to accelerate the performance of the pass-through network flows by analyzing packets, inserting packets, dropping packets, inserting or recognizing congestion information, and so forth. In addition, the smart NIC provides a lightweight transport protocol (LTP) module that enables it to establish connections with other smart NICs. The LTP connections allow the smart NICs to exchange data without passing network traffic through their respective hosts.

Lightweight transport protocol

A method including fetching a group of instructions, where the group of instructions is configured to execute atomically by a processor is provided. The method further includes decoding at least one of a first instruction or a second instruction, where: (1) decoding the first instruction results in a processing of information about a group of instructions, including information about a size of the group of instructions, and (2) decoding the second instruction results in a processing of at least one of: (a) a reference to a memory location having the information about the group of instructions, including information about the size of the group of instructions or (b) a processor status word having information about the group of instructions, including information about the size of the group of instructions.

Decoding information about a group of instructions including a size of the group of instructions

A method including fetching a group of instructions, including a group header for the group of instructions, where the group of instructions is configured to execute by a processor, and where the group header includes a field including locking information for at least one operand is provided. The method further includes storing a value of the at least one operand in at least one operand buffer of the processor and based on the locking information, locking a value of the at least one operand in the at least one operand of the buffer such that the at least one operand is not cleared from the at least one operand buffer of the processor in response to completing the execution of the group of instructions.

Locking operand values for groups of instructions executed atomically

A method including fetching a group of instructions, where the group of instructions is configured to execute atomically by a processor, is provided. The method further includes scheduling at least one of the group of instructions for execution by the processor before decoding the at least one of the group of instructions based at least on pre-computed ready state information associated with the at least one of the group of instructions.

Explicit instruction scheduler state information for a processor

A method including fetching information regarding a group of instructions, where the group of instructions is configured to execute atomically by a processor, including an encoding format for the information regarding the group of instructions, is provided. The method further includes processing the encoding format to interpret the information regarding the group of instructions.

Processing an encoding format field to interpret header information regarding a group of instructions

In-line network accelerator

This document relates to trend response management. One example can detect a trending topic and identify content associated with the trending topic. The example can take an action relating to the content that decreases a trend-induced processing spike and/or enhances a user search experience associated with the trending topic.

Trend response management

A server computing device and related method for providing recommendations to a user computing device are disclosed. In one example, user activity of the user of a user computing device and friend activity of a friend using a friend computing device are received. A request for a recommendation is received from the user device. Based on the user and friend activities, it is estimated that the user and friend will approach an intersecting location within a window of time, and the user and friend are available to meet in that window. A recommendation of a service offered within a distance of the location is sent, with the recommendation displayed on the user computing device.

Server computing device for recommending meeting a friend at a service location based on current location, travel direction, and calendar activity

Embodiments related to selecting advertisements for display to targeted viewers are disclosed. In one example embodiment, an advertisement is selected by, for each of a plurality of advertisements, aggregating a plurality of emotional response profiles from a corresponding plurality of prior viewers of the advertisement to form an aggregated emotional response profile for the advertisement, wherein each of the emotional response profiles comprises a temporal record of a prior viewer's emotional response to the advertisement. The method further includes identifying a group of potentially positively correlated viewers for the targeted viewer, filtering the aggregated emotional response profiles based on the group of potentially positively correlated viewers, selecting a particular advertisement from the plurality of advertisements based on a correlation of the filtered aggregated emotional response profiles, and sending the particular advertisement for display to the targeted viewer.

Selection of advertisements via viewer feedback

A long-term personal agent program, executable as network service and/or on one or more user computing devices and related method for identifying opportunities and making recommendations on behalf of one or more users, are disclosed herein. In one example, the personal agent program includes a monitoring engine configured to monitor and interpret a user's activities over time with a plurality of sensing and logging methodologies according to user authorization, the use of statistical methods for learning to understand a user's goals and behavioral patterns from data, and the use of procedures for computing the expected value of information guiding sensing and logging in different contexts. The personal agent further may include a recommendation methodology configured to make suggestions and to take actions on behalf of the user, in the present moment as well as for future times, based on inferences about user goals and opportunities in the world.

User computing device with personal agent program for recommending meeting a friend at a service location based on current location, travel direction, and calendar activity

Embodiments related to delivering a video stream to a requesting viewer are disclosed. In one example embodiment, a video stream is delivered by receiving a request for the video stream from a requesting device, the request including the requesting viewer's identity, assembling a list of selected video content items for display to the requesting viewer, the selected video items being selected from a plurality of video items based on the identity of the requesting viewer and a viewing interest profile comprising the requesting viewer's viewing interests, and sending the video stream for display, the video stream including one or more of the selected video items.

Interest-based video streams

Growing community of inventors

Bellevue, WA, United States of America

Doug Burger