Microsoft Technology Licensing, LLC

Sameer Avinash Nene

Joseph S Beda, Iii

Nicholas P Wilt

Max Alan McMullen

Marcus J Andrews

Youssef M Barakat

Ameet Arun Chitre

Glenn Frederick Evans

Leonardo Esteban Blanco

Kenneth S Reneris

Greg D Schechter

Gregory David Swedberg

Michael George Boulton

Jingyang Xue

Prashant Ratanchandani

Chulian Zhang

Jack Andrew Elliott

Systems are provided for generating training data from images that are obtained from image generators that are typically configured to only generate a single image per frame. The image generators are modified or otherwise controlled to generate two different images at different resolutions for each of a plurality of frames. The training data is created by pairing the low-resolution images and high-resolution images for common frames into training data set pairings. A super-resolution model is applied to the training data set pairings to create a trained super-resolution model.

Generating training data for super resolution models and generating trained super resolution models

Systems and methods for rebootless updating of a IHV display driver are disclosed. According to such a method, first, the operating system stops the driver from running Second, the system switches over to an interim or temporary display driver, which be a default driver provided with the operating system. Third, the new hardware-specific driver is started. Thus, a hardware-specific display driver may be updated without rebooting.

Rebootless display driver upgrades

Systems and methods for rebootless updating of a IHV display driver are disclosed. According to such a method, first, the operating system stops the driver from running. Second, the system switches over to an interim or temporary display driver, which be a default driver provided with the operating system. Third, the new hardware-specific driver is started. Thus, a hardware-specific display driver may be updated without rebooting.

The management of computational resources of coprocessors to facilitate efficient execution of multiple applications in a multitasking environment is accomplished by enabling multiple threads of execution to compose command buffers in parallel, submitting those command buffers for scheduling and dispatch by the operating system, and fielding interrupts that notify of completion of command buffers, the system enables multiple applications to efficiently share the computational resources available in the system.

Methods and system for managing computational resources of a coprocessor in a computing system

Described is an adaptive scheduler associated with a desktop window manager that dynamically controls the rate at which graphics frames are composed. Values corresponding to performance when composing a frame are measured, and the frame composition rate is adjusted as necessary based on the values. The measured data is sampled to provide smooth adjustments. The sampled data is evaluated as to whether the current frame rate is too slow, too fast, or acceptable. If too slow, the frame rate may increased relative to the refresh rate, while if too fast, the frame rate is decreased relative to the refresh rate. In one implementation, the frame rate is too fast if a count of missed frames achieves a missed threshold value, or if a count of late frames achieves a late threshold value. The frame rate is too slow if a count of early frames exceeds an early threshold value.

Adaptive scheduling to maintain smooth frame rate

Systems and methods are provided for managing the computational resources of coprocessor(s), such as graphics processor(s), in a computing system. The systems and methods illustrate management of computational resources of coprocessors to facilitate efficient execution of multiple applications in a multitasking environment. By enabling multiple threads of execution to compose command buffers in parallel, submitting those command buffers for scheduling and dispatch by the operating system, and fielding interrupts that notify of completion of command buffers, the system enables multiple applications to efficiently share the computational resources available in the system.

Growing community of inventors

Redmond, WA, United States of America

Sameer Avinash Nene