Microsoft Technology Licensing, LLC

Algorithmia Inc.

Diego M Oppenheimer

Allan Folting

Stephen Van De Walker Handy

Anatoly V Grabar

Amit Velingkar

Stephen Van Handy

Amir Netz

Cristian Petculescu

Bongshin Lee

Eran Megiddo

Shahar Prish

Patrick John Baumgartner

Pedram Faghihi Rezaei

Adam Donald Wilson

Greg R Smith

Amy Nicole Forstrom

Matthew J Longley

Carl Brenn Sutter, Iv

Weng Keong Peter Anthony Leong

Ahmet Besir Kurtulmus

James Joseph Sutton

Allison Tran

Patrick Xavier McQuighan

Kenneth F Daniel

James F Athappilly

Amit A Velingkar

Greg Smith

Matt J Longley

The technology includes methods, processes, and systems for virtualizing graphics processing unit (GPU) memory. Example embodiments of the technology include managing an amount of GPU memory used by one or more processes, such as Application Programming Interfaces (APIs), that directly or indirectly impact one or more other processes running on the same GPU. Managing and/or virtualizing the amount of GPU memory may ensure that an end user does not receive a GPU out-of-memory error because the API request is impacted by the processing of other API requests. A virtual machine with access to a GPU may be organized with one or more job slots that are configured to specify the number of processes that are able to run concurrently on a specific virtual machine. A process may be configured on each virtual machine running a software program or API and is used to schedule work based on GPU memory requirements.

Scheduling system for computational work on heterogeneous hardware

A system for automatically detecting relationships in spreadsheet data is disclosed. The system may be configured to analyze data items in the spreadsheet to determine whether two or more data items are unrelated. If the two or more data items are unrelated, then the system may notify a user of a need to define the relationship, and automatically defines the relationship for the two or more data items, or suggests the relationship to the user.

Automatic relationship detection for spreadsheet data items

The description relates to an interactive digital display. One example includes a display device configured to receive user input and recognize commands relative to data visualizations. The system also includes a graphical user interface configured to be presented on the display device that allows users to interact with the data visualizations via the user commands.

Interactive digital displays

A system and method for creating a report in a spreadsheet is disclosed. The system and method identifies a source of data items associated with the spreadsheet. The data items that are associated with the report that is generated in the spreadsheet are identified. A display including a field pane with an active tab and an all tab. The active tab displaying those data items that are determined to be associated with the report that is being generated in the spreadsheet. The all tab displaying all of the data items associated with the spreadsheet.

Selective generation and display of data items associated with a spreadsheet

Technologies are described herein for generating field sets of a data summary table. Multiple fields in a spreadsheet document are identified. Multiple field scores for each field of the plurality of fields are determined. A field set incorporating two or more of the plurality of fields is generated based on the plurality of field scores. The field set is inserted into the data summary table, thereby transforming the data summary table without the field set to the data summary table with the field set.

Automated suggested summarizations of data

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Seattle, WA, United States of America

Diego M Oppenheimer