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Systems and methods for pile-processing parallel-processors

A technology for processing loops and loop processing, applied in the field of data processing, can solve problems such as expensive, does not support computational waste, etc.

Inactive Publication Date: 2008-05-28
DROPLET TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this processing is computationally expensive as it must identify or match moving objects, camera motion, light shifts, and other changes in the scene, and compensate for each of these changes individually or in combination
However, current applications do not yet support this computationally wasteful use of simple suspend functions

Method used

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  • Systems and methods for pile-processing parallel-processors
  • Systems and methods for pile-processing parallel-processors
  • Systems and methods for pile-processing parallel-processors

Examples

Experimental program
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Embodiment Construction

[0112] figure 1 A framework 100 for compressing / decompressing data according to one embodiment is shown. Included within this framework 100 are an encoder part 101 and a decoder part 103, which together form a "codec". The encoder section 101 includes a transform module 102 , a quantizer 104 and an entropy code encoder 106 for compressing data and storing into a file 108 . To perform such decompression of the file 108, the decoder section 103 includes an inverse transform module 114, a dequantizer 111 and an entropy decoder 110 for decompressing the data for use (ie, in the case of viewing video data, etc.).

[0113] In use, the transform module 102 performs an invertible and typically linear decorrelating transform of multiple pixels for correlation purposes (ie, in the case of video data). Next, quantizer 104 performs quantization of the transform values, and entropy encoder 106 responds by entropy encoding of the quantized transform moduli. Different parts of the d...

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PUM

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Abstract

A system, method and computer program product are provided for processing exceptions (Fig. 12). Another coder and / or decoder system and method are provided including a variable modulas (1200). Still another system and method are provided for compressing data, whereby luminescence data of a frame is updated at a first predetermined rate (1202), while chrominance data of the frame is updated at a second predetermined rate that is less than the first predetermined rate (1204).

Description

technical field [0001] The present invention relates to data processing. Background technique [0002] parallel processing [0003] High-volume programming of parallel processors is not feasible when the required algorithms have narrow data widths, serial data dependencies, or frequent control instructions (e.g., "if", "for", "while" instructions). Easy. There are three types of parallelism available to solve such problems in processors. [0004] The first type of parallelism is supported by multifunctional units, and it allows data processing to be performed simultaneously within each functional unit. Supercounter processor architectures and Very Long Instruction Word (VLIW) processor architectures allow instructions to be issued to each of multiple functional units in the same cycle. In general, this waiting time, or completion time, is different in each type of functional unit. The simplest functions (for example: bit-level AND) can usually be completed in one cycle...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/14G06F12/00G06F9/38G06F9/32G06F17/16
CPCG06F9/325H04N7/26702G06F17/148H04N19/00315H04N19/00818G06F9/3865H04N7/26148H04N7/26106H04N7/26398H04N7/26292H04N19/00121H04N7/26755H04N19/00521G06F9/30072H04N7/26393H04N19/00951H04N19/00806H04N19/00478H04N19/13H04N19/186H04N19/42H04N19/436H04N19/62H04N19/63H04N19/91
Inventor 威廉·C·林奇克拉西米尔·D·科拉罗夫史蒂夫·E·桑德斯
Owner DROPLET TECH