CN108255609A - A kind of Web VR distributed computing methods based on device chip - Google Patents
A kind of Web VR distributed computing methods based on device chip Download PDFInfo
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- CN108255609A CN108255609A CN201810030592.XA CN201810030592A CN108255609A CN 108255609 A CN108255609 A CN 108255609A CN 201810030592 A CN201810030592 A CN 201810030592A CN 108255609 A CN108255609 A CN 108255609A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
Abstract
The present invention relates to a kind of Web VR distributed computing methods based on device chip, include the following steps:New task to be allocated is taken out in the queue that slave device chip waits for, puts it into work at present group;The new task is averagely divided into several TU task units according to calculation amount, each TU task unit is labeled as Si;The extraction TU task unit of one of them, and pass through web and be sent to each computing device progress conventionally calculation, and count the time ti needed for each computing device operation individual task unit;Currently available computing device is searched, and currently used available computing device is concentrated in a set S, and removes current all not available computing devices;New task is sent to computing device again by Web to calculate, wherein proportionally distributing the new task to be allocated to calculating task to corresponding computing device;The result calculated is back to device chip by each computing device.
Description
Technical field
The invention belongs to pcb board detection fields, and in particular to a kind of Web VR Distributed Calculation sides based on device chip
Method.
Background technology
With the development of computing technique, some applications need very huge computing capability that could complete, if using passing
The centralization of system calculates, and needs to expend and complete for quite a long time.Distributed Calculation is by the application decomposition into many small portions
Point, it distributes to multiple stage computers and is handled.The overall calculation time can be saved in this way, greatly improve computational efficiency.
But although existing Distributed Calculation has substantially increased computational efficiency, in practical applications still
Face some problems:Due into fraction, reallocating and being handled to multiple stage computers, therefore just existing and divide application decomposition
With whether it is reasonable the problem of, if some computing devices are good at the certain calculating of processing, and other computing devices are bad to handle certain
It is a little to calculate, distributed if only dividing equally simply, not only can waste of resource, also result in computational efficiency and substantially reduce, only
Reasonable distribution calculating task could so that calculating is optimized.
In consideration of it, propose a kind of Web VR distributed computing methods based on device chip for the class of the invention to be studied
Topic.
Invention content
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of Web VR Distributed Calculation sides based on device chip
Method, it is intended to solve task unreasonable distribution, computational efficiency caused to reduce, calculating speed reduce the problem of.
To achieve these goals, the present invention uses following technical scheme:A kind of Web VR distributions based on device chip
Formula computational methods, including following calculating step:
The first step:New task to be allocated is taken out in the queue that slave device chip waits for, puts it into work at present group;
Second step:The new task is averagely divided into several TU task units according to calculation amount, each TU task unit is labeled as Si,
Wherein, i=1,2,3 ... n, wherein S1=S2=S3 ...=Sn;
Third walks:The extraction TU task unit of one of them, and pass through web and be sent to each computing device progress conventionally calculation, and
Count the time ti needed for each computing device operation individual task unit;
4th step:Currently available computing device is searched, and currently used available computing device is concentrated in a set S,
And current all not available computing devices are removed, count current residual computing device;
6th step:The result calculated is back to device chip by each computing device.
As a further improvement on the present invention, a detecting step is further included:When needing to carry out next Distributed Calculation,
The computing device for being removed set S is detected again, shows that computing device is available in testing result, this is counted
It calculates device to be put into set S, waits for use next time.
As a further improvement on the present invention, regular check step is further included, inspection is timed to all computing devices,
To ensure that the computing device when task is distributed in set S can be used.
As a further improvement on the present invention, every time after the completion of distribution task, task distribution report is automatically generated, and
Report output handling result is distributed by the task.
As a further improvement on the present invention, error correction step is further included, for repeatedly being calculated the conclusion after calculating,
When finding wrong, mistake is updated immediately.
Description of the drawings
Attached drawing described here is only used for task of explanation, and is not intended to limit model disclosed in the present application in any way
It encloses.In addition, shape and proportional sizes of each component in figure etc. are only schematical, the understanding to the application is used to help, and
It is not the specific shape and proportional sizes for limiting each component of the application.Those skilled in the art, can under teachings of the present application
Implement the application to select various possible shapes and proportional sizes as the case may be.In the accompanying drawings:
Attached drawing 1 is the calculation process schematic diagram of the present invention.
Specific embodiment
The present invention will be further illustrated in example below.These embodiments are merely to illustrate the present invention, but not to appoint
Where formula limitation is of the invention.
Embodiment:A kind of Web VR distributed computing methods based on device chip
Referring to attached drawing 1, including following calculating step:
The first step:New task to be allocated is taken out in the queue that slave device chip waits for, puts it into work at present group;
Second step:The new task is averagely divided into several TU task units according to calculation amount, each TU task unit is labeled as Si,
Wherein, i=1,2,3 ... n, wherein S1=S2=S3 ...=Sn;
Third walks:The extraction TU task unit of one of them, and pass through web and be sent to each computing device progress conventionally calculation, and
Count the time ti needed for each computing device operation individual task unit;
4th step:Currently available computing device is searched, and currently used available computing device is concentrated in a set S,
And current all not available computing devices are removed, count current residual computing device;
6th step:The result calculated is back to device chip by each computing device.
7th step:Error correction step is further included, for repeatedly being calculated the conclusion after calculating, when finding wrong,
Mistake is updated immediately, and the computing device for calculating error is stamped(Calculate error)Label.
In the present embodiment, a detecting step is further included:When needing to carry out next Distributed Calculation, to being removed collection
The computing device for closing S is detected again, shows that computing device is available in testing result, which is put into
In set S, wait for use next time.
Regular check step is further included, inspection is timed to all computing devices, to ensure the set S when task is distributed
In computing device can be used.
Also, every time after the completion of distribution task, task distribution report is automatically generated, and passes through task distribution report
Export handling result.
It should be noted that in the description of the present application, unless otherwise indicated, " multiple " be meant that two or two with
On.
Using term "comprising" or " comprising " describing the combination of element here, ingredient, component or step it is also contemplated that
Substantially the embodiment being made of these elements, ingredient, component or step.Here by using term " can with ", it is intended to illustrate
Described any attribute that " can with " includes all is optional.
Multiple element, ingredient, component or step can be provided by single integrated component, ingredient, component or step.Optionally
Ground, single integrated component, ingredient, component or step can be divided into multiple element, ingredient, component or the step of separation.It is used for
The open "a" or "an" for describing element, ingredient, component or step is not said to exclude other elements, ingredient, component
Or step.
It should be understood that above description is to illustrate rather than to be limited.By reading above-mentioned retouch
It states, many embodiments and many applications except the example provided all will be aobvious and easy for a person skilled in the art
See.Therefore, the range of this introduction should not be determined with reference to foregoing description, but should with reference to preceding claims and this
The four corner of equivalent that a little claims are possessed determines.For comprehensive purpose, all articles and with reference to including special
The disclosure of profit application and bulletin is all by reference to being incorporated herein.Theme disclosed herein is omitted in preceding claims
Any aspect is not intended to abandon the body matter, also should not be considered as applicant the theme is not thought of as it is disclosed
Apply for a part for theme.
Those listed above it is a series of be described in detail only for the application feasibility embodiment specifically
Bright, they are not limiting the protection domain of the application, all equivalent implementations made without departing from the application skill spirit
Or change should be included within the protection domain of the application.
Claims (5)
1. a kind of Web VR distributed computing methods based on device chip, it is characterised in that:Including following calculating step:
The first step:New task to be allocated is taken out in the queue that slave device chip waits for, puts it into work at present group;
Second step:The new task is averagely divided into several TU task units according to calculation amount, each TU task unit is labeled as Si,
Wherein, i=1,2,3 ... n, wherein S1=S2=S3 ...=Sn;
Third walks:The extraction TU task unit of one of them, and pass through web and be sent to each computing device progress conventionally calculation, and
Count the time ti needed for each computing device operation individual task unit;
4th step:Currently available computing device is searched, and currently used available computing device is concentrated in a set S,
And current all not available computing devices are removed, count current residual computing device;
5th step:New task is sent to current residual computing device again by Web to calculate, wherein by described to be allocated
New task according toRatio to corresponding computing device distribute calculating task;
6th step:The result calculated is back to device chip by each computing device.
2. the Web VR distributed computing methods according to claim 1 based on device chip, it is characterised in that:It further includes
One detecting step:When needing to carry out next Distributed Calculation, the computing device for being removed set S is detected again,
Show that computing device is available in testing result, which is put into set S, wait for use next time.
3. the Web VR distributed computing methods according to claim 1 or 2 based on device chip, it is characterised in that:Also
Including regular check step, inspection is timed to all computing devices, to ensure that the calculating when task is distributed in set S fills
It puts available.
4. the Web VR distributed computing methods according to claim 1 based on device chip, it is characterised in that:Work as every time
After the completion of distribution task, task distribution report is automatically generated, and passes through task distribution report output handling result.
5. the Web VR distributed computing methods according to claim 1 based on device chip, it is characterised in that:It further includes
Error correction step for repeatedly being calculated the conclusion after calculating, when finding wrong, updates mistake immediately.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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GB2592609A (en) * | 2020-03-03 | 2021-09-08 | Imagination Tech Ltd | Resource allocation in a parallel processing system |
Citations (4)
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CN102902587A (en) * | 2011-07-28 | 2013-01-30 | 中国移动通信集团四川有限公司 | Distribution type task scheduling method, distribution type task scheduling system and distribution type task scheduling device |
CN106371893A (en) * | 2016-08-31 | 2017-02-01 | 开封大学 | Cloud computing scheduling system and method |
CN106371923A (en) * | 2016-08-30 | 2017-02-01 | 江苏国泰新点软件有限公司 | Method and device for processing task |
CN106600220A (en) * | 2016-11-29 | 2017-04-26 | 叶飞 | Distributed calculation method |
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- 2018-01-12 CN CN201810030592.XA patent/CN108255609A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102902587A (en) * | 2011-07-28 | 2013-01-30 | 中国移动通信集团四川有限公司 | Distribution type task scheduling method, distribution type task scheduling system and distribution type task scheduling device |
CN106371923A (en) * | 2016-08-30 | 2017-02-01 | 江苏国泰新点软件有限公司 | Method and device for processing task |
CN106371893A (en) * | 2016-08-31 | 2017-02-01 | 开封大学 | Cloud computing scheduling system and method |
CN106600220A (en) * | 2016-11-29 | 2017-04-26 | 叶飞 | Distributed calculation method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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GB2592609A (en) * | 2020-03-03 | 2021-09-08 | Imagination Tech Ltd | Resource allocation in a parallel processing system |
GB2592609B (en) * | 2020-03-03 | 2023-05-31 | Imagination Tech Ltd | Resource allocation in a parallel processing system |
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Application publication date: 20180706 |