Intel Corporation

Robert B Taylor

Travis T Schluessler

Nikos Kaburlasos

Eric C Samson

Abhishek Venkatesh

Daniel Walsh

John H Feit

Devan Burke

Matthew B Callaway

Pankaj Sharma

Travis T Schluesser

Anupama Chandrasekhar

A mechanism is described for facilitating system characterization and configuration distribution for promoting improved performance at computing devices. A method of embodiments, as described herein, includes selecting a computing device from a plurality of computing devices to perform a test relating to a default configuration corresponding to the computing device, where the computing device is selected based on at least one of a workload being initiated at the computing device or overall performance of the computing device. The method may further include evaluating feedback data resulting from the test to decide whether a change is necessitated for the default configuration, and computing a new configuration to replace the default configuration at the computing device, if the change is necessitated for the default configuration.

System characterization and configuration distribution for facilitating improved performance at computing devices

Techniques to sort events of a graphics workload executed by a graphics processing unit to provide identification of events, that if addressed, may result in an improvement in performance are disclosed. The techniques can include: generating a signature and a weight for each event of a graphics workload; generating an event priority tree by organizing the events into parent and leaf nodes, where parent nodes comprise leaf nodes having a shared hash; and sorting frames based on a global weight of events corresponding to the frames.

Graphics hardware bottleneck identification and event prioritization

Systems, apparatuses and methods may provide for receiving a general purpose graphics processing unit (GPGPU) workload and converting the GPGPU workload to a three-dimensional (3D) workload. Additionally, the 3D workload may be dispatched to a 3D pipeline. In one example, converting the GPGPU workload to the 3D workload includes identifying a plurality of thread groups in the GPGPU workload and mapping the plurality of thread groups to a 3D matrix of cubes.

Automated conversion of GPGPU workloads to 3D pipeline workloads

An apparatus and method are described for cloud-based graphics updates. For example, one embodiment of an apparatus comprises a system optimization agent to detect a graphics application installed on the apparatus, the system optimization agent to responsively transmit, over a network, information related to the graphics application including a new graphics application or a new version of an existing graphics application. The apparatus may further comprise the system optimization agent to receive, over the network, optimized program code comprising one or more optimizations to specified portions of a graphics driver, where the one or more optimizations relate to the graphics application. The apparatus may further comprise the system optimization agent to install and enable only those specified portions of the graphics driver for which optimizations have been received, where the installation and enablement triggers at least one of increased user experience and increased performance relating to the graphics application.

Method and apparatus for intelligent cloud-based graphics updates

A mechanism is described for facilitating improved copying of graphics data at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a first data having a first set of primitives at a one-dimensional ('1D') source buffer. The first data is detected to be copied to a 1D destination buffer. The method may further include re-describing the 1D source buffer and the 1D destination buffer into a two-dimensional ('2D') source buffer and a 2D destination buffer, respectively, where re-describing may include re-describing the first data having the first set of primitives to a second data having a second set of primitives. The method may further include copying the second data having the second set of primitives from the 2D source buffer to the 2D destination buffer.

Mechanism for facilitating improved copying of graphics data on computing devices

Compression techniques for dynamically-generated graphics resources are described. In one embodiment, for example, an apparatus may comprise logic, at least a portion of which is in hardware, the logic to determine one or more usage characteristics of a dynamically-generated graphics resource, determine whether to compress the dynamically-generated graphics resource based on the one or more usage characteristics, and in response to a determination to compress the dynamically-generated graphics resource, select a compression procedure based on a graphics quality threshold for the dynamically-generated graphics resource. Other embodiments are described and claimed.

Compression techniques for dynamically-generated graphics resources

In accordance with some embodiments, partial rendering of non-changing or slowly changing frame tiles allows the graphics processing unit to spend less time processing non-changing or slowly changing portions of each frame, saving power and creating more room for performance in some embodiments.

Partial tile rendering

Various embodiments are presented herein that reallocate partitions of a shared physical memory between processing units. An apparatus and a computer-implemented method may determine an amount of memory space in the physical memory allocated to a first processing unit during system initialization. The determined amount of the memory space may be consolidated. The consolidated memory space may be allocated to the second processing unit during runtime. Other embodiments are described and claimed.

Growing community of inventors

Hillsboro, OR, United States of America

Robert B Taylor