Abstract: The video processing (VP) tasks may be moved from a client device such as a smart phone, tablet, or a laptop to a cloud processing device provided in a cloud to save conserve power in the client device. In one embodiment, the cloud processing device may process the video data based on the optimized video processing parameters, which may be generated using one or more modified VPPs. The modified VPPs may be provided by the client device based on the size (small, medium, and large, for example) of the screen of the client device. Further, the cloud processing device may support an automatic adaption mode (AAM) in which the cloud processing device may process the video data based on the availability of the network bandwidth value provided by the client device.

Abstract: Various embodiments are generally directed to techniques for reducing the consumption of electric power in rendering an image onto a display associated with a computing device by generating and compressing difference frames for use in rendering the image. A device to compress video frames includes a processor component; and a frame buffer compressor for execution by the processor component to compress a current frame of a series of frames as a compressed difference frame, the compressed difference frame comprising a difference frame that indicates a difference in pixel color of at least one pixel between the current frame and a preceding adjacent frame of the series of frames. Other embodiments are described and claimed.

Abstract: Various embodiments are generally directed to techniques for reducing the consumption of electric power in compressing and transmitting video to a display device by analyzing a degree of difference between adjacent frames and dynamically selecting a type of compression per frame depending on the degree of difference. A device to compress video frames includes a processor component, and a compression selector for execution by the processor component to dynamically select a type of compression for a current frame of a series of frames based on a degree of difference between the current frame and a preceding adjacent frame of the series of frames. Other embodiments are described and claimed.

Abstract: A method and system is provided for WiDi cloud mode. The method includes sending a command from a computing device to a cloud network. A connection between the cloud network and a remote adapter based on the command may be monitored. A data stream sent from the cloud network to the remote adapter via the connection may be controlled.

Abstract: The video processing (VP) tasks may be moved from a client device such as a smart phone, tablet, or a laptop to a cloud processing device provided in a cloud to save conserve power in the client device. In one embodiment, the cloud processing device may process the video data based on the optimized video processing parameters, which may be generated using one or more modified VPPs. The modified VPPs may be provided by the client device based on the size (small, medium, and large, for example) of the screen of the client device. Further, the cloud processing device may support an automatic adaption mode (AAM) in which the cloud processing device may process the video data based on the availability of the network bandwidth value provided by the client device.

Abstract: In order to use video post-processing capabilities available in some graphics and central processing unit hardware available now and in the future, some platforms like the Android platform need to be adapted. A user may select a video post-processing function using a graphical user interface. The selection is communicated to an operating system that does not enable video post-processing, using an inter procedure communication.

Abstract: In general, in one aspect, the disclosure describes a method to detect a transaction and direct non transactional memory (TM) user functions within the transaction. The non TM user functions are treated as TM functions and added to the TM list.

Abstract: A method including providing a stream of content to a processor, transforming kernels within the stream of content through affine modeling, transforming the affine modeled kernels, stream contracting kernel processes, and stream blocking the kernel processes.

Abstract: A location to insert stack clearing code into a method to be executed in an execution environment of a computer system is determined. The stack clearing code is inserted into the location of the method. The stack clearing code is executed during execution of the method to clear a stack. Other embodiments are also described and claimed.

Abstract: A virtual machine in a processing system manages type information for operands. In one embodiment, the virtual machine accomplishes the following results through execution of a single instruction: adding an operand tag to a tag stack, and updating a stack pointer for the tag stack to recognize the addition of the operand tag to the tag stack. The single instruction may be a shift instruction, for example. The tag stack may reside in a tag stack register, and each operand tag may indicate whether a corresponding operand on an operand stack is to be treated as a reference operand or a non-reference operand. Other embodiments are described and claimed.

Abstract: A heap organization for a multitasking virtual machine is described. The heap organization may comprise an execution engine to concurrently execute a plurality of tasks and a plurality of heaps coupled to the execution engine. In some embodiments, the plurality of heaps may comprise a system heap and a task heap separated from the system heap. The system heap may store system data accessible by the plurality of tasks. The task heap may store task data only accessible by one task of the plurality of tasks.

Abstract: A multitasking virtual machine is described. The multitasking virtual machine may comprise an execution engine to concurrently execute a plurality of tasks. The multitasking virtual machine may further comprise a heap organization coupled to the execution engine. The heap organization may comprise a system heap to store system data accessible by the plurality of tasks; and a plurality of task heaps. Each of the plurality of task heaps may be assigned to each of the plurality of tasks to store task data accessible by the assigned task. The multitasking virtual machine may further comprise a heap manager to manage the heap organization. The heap manager may comprise a heap size controller to control heap size of the system heap.

Abstract: A virtual machine in a processing system manages type information for operands. In one embodiment, the virtual machine accomplishes the following results through execution of a single instruction: adding an operand tag to a tag stack, and updating a stack pointer for the tag stack to recognize the addition of the operand tag to the tag stack. The single instruction may be a shift instruction, for example. The tag stack may reside in a tag stack register, and each operand tag may indicate whether a corresponding operand on an operand stack is to be treated as a reference operand or a non-reference operand. Other embodiments are described and claimed.

Abstract: In general, in one aspect, the disclosure describes a method to detect a transaction and direct non transactional memory (TM) user functions within the transaction. The non TM user functions are treated as TM functions and added to the TM list.

Abstract: In one embodiment, the present invention includes a cache memory having a plurality of cache lines to store data, in which at least some of the cache lines are adapted to store data in a compressed state. The cache memory also may include a first tag corresponding to each of the cache lines to indicate whether data in the corresponding cache line is compressible.

Abstract: A location to insert stack clearing code into a method to be executed in an execution environment of a computer system is determined. The stack clearing code is inserted into the location of the method. The stack clearing code is executed during execution of the method to clear a stack. Other embodiments are also described and claimed.

Abstract: Methods for optimizing stream operator processing by creating a system of inequalities to describe a multi-dimensional polyhedron, solving the system by projecting the polyhedron into a space of one fewer dimensions, and mapping the solution into the stream program. Other program optimization methods based on affine partitioning are also described and claimed.

Abstract: An arrangement is provided for improving the performance of a dynamic compiler, specifically for dynamically optimizing integer division operations. When a compiler receives an integer division code at runtime, the compiler dynamically profiles a divisor of the division code. The integer division code is then optimized based on the characteristics of the divisor, which are determined at runtime.

Abstract: A method including providing a stream of content to a processor, transforming kernels within the stream of content through affine modeling, transforming the affine modeled kernels, stream contracting kernel processes, and stream blocking the kernel processes.

Abstract: Methods for processing speech data are described herein. In one aspect of the invention, an exemplary method includes receiving a text sentence comprising a plurality of words, each of the plurality of words having a part of speech (POS) tag, generating a POS sequence based on the POS tag of each of the plurality of words, detecting a prosodic phrase break through a recurrent neural network (RNN), based on the POS sequence, and generating a prosodic phrases boundary based on the prosodic phrase break. Other methods and apparatuses are also described.