Intel Corporation

Christopher J Cormack

Nathaniel Duca

Tony Moy

Jeff Jackson

Matthew C Curfman

Lawrence Wickstrom

Carl S Marshall

Stanley T Mo

David J Cowperthwaite

Peter Munguia

Sebastien Hily

Jeffrey R Jackson

Jason Plumb

Ram R Rao

Terry Ryun Bradfield

Brian W Brown

Sergey Shtin

Suresh Rangarajulu

Mike Burrows

Jeremy A White

Serhat A Tekin

Joseph D Matarazzo

Apparatuses, methods and storage medium associated with embedded computing, are disclosed herein. In embodiments, an embedded computing platform includes a plurality of system-on-chips (SoCs) forming a local compute cluster; and an orchestrator disposed on one of the SoCs arranged to orchestrate fail-safe operations, in response to a reported unrecoverable failure requiring shut down or partial disabling of one of the SoCs, to consolidate execution of critical workloads on one or more of remaining fully or partially operational ones of the SoCs. Other embodiments are also described and claimed.

Method and apparatus to provide an improved fail-safe system for critical and non-critical workloads of a computer-assisted or autonomous driving vehicle

In various embodiments, an apparatus includes a system-on-chip (SoC) to be disposed in a vehicle having a plurality of cores; a hypervisor arranged to partition the cores into at least two domains, an operational domain and a failover domain; a first operating system (OS) arranged to manage execution of at least a first application in the operational domain to provide a first plurality of functions for the vehicle; a second OS arranged to manage execution of at least a second application in the failover domain to provide a second plurality of functions for the vehicle, on occurrence of a failure of the first application. The second functions comprise a subset of the first functions or less embellished versions of some of the first functions, and the second OS has less capabilities than the first OS. Other embodiments, including storage media and methods, are also described and claimed.

Failover support within a SoC via standby domain

In one embodiment, an autonomous vehicle (AV) system determines that a collision between itself and another object is imminent based on data obtained from sensors attached to the AV. The AV system determines an optimal vehicle orientation for the collision, determines a vehicle path to position the vehicle in the optimal vehicle orientation, and autonomously controls the vehicle to travel along the determined vehicle path.

Proactive vehicle safety system

A relational model may be used to encode primitives for each of a plurality of threads in a multi-core processor. The primitives may include tasks and parameters, such as buffers. Implicitly created tasks, like set render target, may be visualized by associating those implicitly created tasks with actual coded tasks.

Relational modeling for performance analysis of multi-core processors using virtual tasks

A relational model may be used to encode primitives for each of a plurality of threads in a multi-core processor. The primitives may include tasks and parameters, such as buffers. The relationships may be linked to particular tasks. The tasks with the coding, which indicates the relationships, may then be used upon user selection to display a visualization of the functional relationships between tasks.

Relational modeling for performance analysis of multi-core processors

A technique includes providing first objects that are associated with an application session and in a processor-based system, identifying second objects in another application session corresponding to the first objects based at least in part on a comparison of the second objects to matching rules associated with the first objects.

Performance analysis of software executing in different sessions

Embodiments provide techniques for the analysis of graphics applications. For instance, an apparatus may include a graphics application program interface (API), a graphics engine, and a graphics analysis tool. The graphics analysis tool may receive multiple draw calls issued to the graphics API, and arrange the draw calls into multiple sequences, each sequence corresponding to a particular render target. From this information various analysis tasks may be performed. For instance, overdraw images may be generated. Such overdraw images may be enhanced to improve their dynamic range. Also, pixel histories may be generated based on corresponding pixel selections. The effect of draw calls on selected pixels may also be determined. Further, such tasks may be performed on a per render target basis.

Graphics analysis techniques

A technique includes providing data indicative of a counted value acquired by a hardware counter of a processing core during a time segment in which a plurality of tasks are active on the core and, in a processor-based machine, determining a likelihood that the counted value is attributable to a given task of the tasks during the time segment and attributing a portion of the counted value to the given task based at least in part on the determined likelihood.

Apportioning a counted value to a task executed on a multi-core processor

According to some embodiments, content filtering is provided for a digital audio signal.

Content filtering for a digital audio signal

A method and apparatus to generate one or more graphics textures of a video image, wherein graphics textures have differing resolutions, and to render the video image as a graphics texture using the one or more graphics textures of differing resolutions. The one or more graphics textures have different resolutions, for example, a base resolution and one or more scaled resolutions. The graphics texture may be rendered and displayed on a surface of a multi-dimensional graphics object that may be manipulated on a display.

Apparatus and method for rendering a video image as a texture using multiple levels of resolution of the video image

A system and process are described where a user of a mobile device grants access to resources associated with the mobile device to other users. Access is typically established when the user of the mobile device couples the device to a network environment and another user provides data that matches sharing criteria associated with the desired resource. The sharing criteria can include user ID/password combination, a network ID or a combination of both.

Growing community of inventors

Hillsboro, OR, United States of America

Christopher J Cormack