Advanced Micro Devices Corporation

Ati Technologies Ulc

Richard E George

Michael Y Chow

Vidyashankar Viswanathan

Edward A Harold

Jiao Wang

Anthony Asaro

Zhenhua Yang

Ying Zhang

Yao Wen Yu

Mehdi Semsarzadeh

Methods and systems are disclosed for emulating, in a platform, the performance of a target platform. Techniques disclosed include receiving, by the platform, values of system features, associated with a target performance of the target platform; and setting, by the platform, one or more configuration knobs, based on the received values of system features, to match a performance of the platform to the target performance of the target platform.

Emulating performance of prior generation platforms

A technique for performing convolution operations is disclosed. The technique includes performing a first convolution operation based on a first convolutional layer input image to generate at least a portion of a first convolutional layer output image; while performing the first convolution operation, performing a second convolution operation based on a second convolutional layer input image to generate at least a portion of a second convolutional layer output image, wherein the second convolutional layer input image is based on the first convolutional layer output image; storing the portion of the first convolutional layer output image in a first memory dedicated to storing image data for convolution operations; and storing the portion of the second convolutional layer output image in a second memory dedicated to storing image data for convolution operations.

Parallelization of convolution operations

A technique for operating a processing device is disclosed. The method includes irreversibly activating a testing mode switch of the processing device; in response to the activating, entering a testing mode in which normal operation of the processing device is disabled; receiving software for the processing device in the testing mode; based on whether the software is verified as testing mode-signed software, executing or not executing the software.

Secure testing mode

A technique for operating a memory system is disclosed. The technique includes performing a first request, by a first memory client, to access data at a first memory address, wherein the first memory address refers to data in a first memory section that is coupled to the first memory client via a direct memory connection; servicing the first request via the direct memory connection; performing a second request, by the first client, to access data at a second memory address, wherein the second memory address refers to data in a second memory section that is coupled to the first client via a cross connection; and servicing the second request via the cross connection.

Flexible memory system

Still frame detection for single pass video data, including: determining that an average quantization parameter of a frame of video data falls below a quantization parameter threshold; determining whether an amount of skipped macroblocks in the frame meets a skipped macroblock threshold; and responsive to the amount of skipped macroblocks exceeding the skipped macroblock threshold, identifying the frame as a still frame.

Still frame detection in video data

A technique for determining an adaptive quantization parameter offset for a block of encoded video includes obtaining a rate control factor for the quantization parameter, determining a content-based quantization parameter factor for the quantization parameter, determining an adaptive variance based quantization offset based on content-based quantization parameter factors for a frame prior to the current frame, and combining the rate control factor, the content-based quantization parameter factor, and the adaptive offset to generate the quantization parameter.

Adaptive offset for variance based quantization

For one or more stages of execution of a software application at a first processor, a remap vector of a second processor is reconfigured to represent a dynamic mapping of virtual address groups to physical address groups for that stage. Each bit position of the remap vector is configured to store a value indicating whether a corresponding virtual address group is actively mapped to a corresponding physical address group. Address translation operations issued during a stage of execution of the software application are selectively processed based on the configuration of the remap vector for that stage, with the particular value at the bit position of the remap vector associated with the corresponding virtual address group controlling whether processing of the address translation operation is continued to obtain a virtual-to-physical address translation sought by the address translation operation or processing of the address translation operation is ceased and a fault is issued.

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Santa Clara, CA, United States of America

Richard E George