CN111782361A - Quantum computer cluster distributed queue scheduling method and system - Google Patents
Quantum computer cluster distributed queue scheduling method and system Download PDFInfo
- Publication number
- CN111782361A CN111782361A CN202010605010.3A CN202010605010A CN111782361A CN 111782361 A CN111782361 A CN 111782361A CN 202010605010 A CN202010605010 A CN 202010605010A CN 111782361 A CN111782361 A CN 111782361A
- Authority
- CN
- China
- Prior art keywords
- quantum
- task
- queue
- information
- task information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012545 processing Methods 0.000 claims description 31
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000002474 experimental method Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Images
Classifications
-
- 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
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
-
- 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
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a quantum computer cluster distributed queue scheduling method, which comprises the steps of inquiring newly added quantum computing task information in a database; uploading quantum computing task information to a network queue; when a task request sent by any task execution node is acquired, quantum computation task information of a preset number is sent to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through the quantum computer. Inquiring a database through a queue management server, and issuing quantum computing task information in a network queue mode; the task execution nodes deployed at the upper computer of each quantum computer search and issue quantum computing task information in the network queue, so that task scheduling of the distributed cluster can be realized, and large-scale operation of the quantum computers is realized. The invention also provides a scheduling system, which also has the beneficial effects.
Description
Technical Field
The invention relates to the technical field of quantum computers, in particular to a quantum computer cluster distributed queue scheduling method and a quantum computer cluster distributed queue scheduling system.
Background
The parallel operation of the quantum computation on the data can be realized, the operation speed can be greatly improved, and meanwhile, the quantum computation speed can be exponentially improved along with the increase of the number of entanglement bits which can be manipulated by experiments. Therefore, quantum computers can be applied to scientific puzzles requiring large-scale computation in the future. Distributed cluster computing for quantum computers is also imperative.
At present, quantum computing tasks are mainly single-thread running tasks on a single machine, and for a large number of experimental task processing, the processing of the single machine is possibly heavier. Therefore, how to provide a cluster distributed system based on quantum computers is a problem which needs to be solved urgently by the technical personnel in the field.
Disclosure of Invention
The invention aims to provide a quantum computer cluster distributed queue scheduling method which can improve the execution efficiency of quantum experiment tasks; the invention also provides a quantum computer cluster distributed queue scheduling system which can improve the execution efficiency of quantum experiment tasks.
In order to solve the technical problem, the invention provides a quantum computer cluster distributed queue scheduling method, which is applied to a queue management server and comprises the following steps:
inquiring newly added quantum computing task information in a database;
uploading the quantum computing task information to a network queue;
when a task request sent by any task execution node is acquired, sending a preset number of quantum computation task information to the task execution node according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed by a quantum computer connected with the task execution node; and the plurality of task execution nodes are connected with the plurality of quantum computers in a one-to-one correspondence manner.
Optionally, the method further includes:
receiving task processing result information sent by the task execution node through a result queue; and the task processing result information is obtained after the quantum computer processes the quantum computing task information.
Optionally, after receiving, by the result queue, task processing result information sent by the task execution node, the method further includes:
and sending the task processing result information stored in the result queue to the database for storage.
Optionally, the database is a relational database.
Optionally, the quantum computing task information includes submission time and priority;
the uploading the quantum computing task information to a network queue comprises:
and arranging the quantum computing task information in the network queue according to the priority and the submission time.
The invention also provides a distributed queue scheduling system of the quantum computer cluster, which comprises a database, a queue management server, a plurality of quantum computers and a plurality of task execution nodes, wherein the plurality of task execution nodes are correspondingly connected with the plurality of quantum computers one by one, all the task execution nodes are connected with the queue management server, and the queue management server is connected with the database; a network queue is maintained in the queue management server;
the queue management server is configured to:
inquiring newly added quantum computing task information in the database;
uploading the quantum computing task information to the network queue;
when a task request sent by any one task execution node is acquired, sending a preset number of quantum computation task information to the task execution node according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed by a quantum computer connected with the task execution node.
Optionally, a result queue is maintained in the queue management server;
the queue management server is further configured to:
receiving task processing result information sent by the task execution node through the result queue; and the task processing result information is obtained after the quantum computer processes the quantum computing task information.
Optionally, the queue management server is further configured to:
and sending the task processing result information stored in the result queue to the database for storage.
Optionally, the database is a relational database.
Optionally, the quantum computing task information includes submission time and priority;
the queue management server is specifically configured to:
and arranging the quantum computing task information in the network queue according to the priority and the submission time.
The invention provides a quantum computer cluster distributed queue scheduling method, which comprises the steps of inquiring newly added quantum computing task information in a database; uploading quantum computing task information to a network queue; when a task request sent by any task execution node is acquired, sending quantum computation task information of a preset number to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through a quantum computer connected with the task execution nodes; and the plurality of task execution nodes are connected with the plurality of quantum computers in a one-to-one correspondence manner.
Displaying the information to a client by setting a unified database to store quantum computing task information; inquiring a database by setting a queue management server, and issuing quantum computing task information in a network queue mode; the task execution nodes deployed at the upper computer of each quantum computer search and issue quantum computing task information in the network queue, so that task scheduling of the distributed cluster can be realized, different quantum computing tasks are distributed to a plurality of quantum computers to be executed in an active application mode of the task execution nodes, and large-scale operation of the quantum computers can be realized.
The invention also provides a quantum computer cluster distributed queue scheduling system, which also has the beneficial effects and is not repeated herein.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a flowchart of a quantum computer cluster distributed queue scheduling method according to an embodiment of the present invention;
fig. 2 is a flowchart of a specific quantum computer cluster distributed queue scheduling method according to an embodiment of the present invention;
fig. 3 is a block diagram of a quantum computer cluster distributed queue scheduling system according to an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a quantum computer cluster distributed queue scheduling method. In the prior art, quantum computing tasks are mainly single-thread running tasks on a single machine, and for processing a large number of experimental tasks, processing of the single machine may be heavy.
The quantum computer cluster distributed queue scheduling method provided by the invention is applied to a queue management server and comprises the steps of inquiring newly added quantum computing task information in a database; uploading quantum computing task information to a network queue; when a task request sent by any task execution node is acquired, sending quantum computation task information of a preset number to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through a quantum computer connected with the task execution nodes; and the plurality of task execution nodes are connected with the plurality of quantum computers in a one-to-one correspondence manner.
Displaying the information to a client by setting a unified database to store quantum computing task information; inquiring a database by setting a queue management server, and issuing quantum computing task information in a network queue mode; the task execution nodes deployed at the upper computer of each quantum computer search and issue quantum computing task information in the network queue, so that task scheduling of the distributed cluster can be realized, different quantum computing tasks are distributed to a plurality of quantum computers to be executed in an active application mode of the task execution nodes, and large-scale operation of the quantum computers can be realized.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a quantum computer cluster distributed queue scheduling method according to an embodiment of the present invention.
Referring to fig. 1, in the embodiment of the present invention, a quantum computer cluster distributed queue scheduling method is applied to a queue management server, and includes:
s101: and inquiring newly added quantum computing task information in the database.
In the embodiment of the invention, a database is pre-established, and a client can access the database and upload quantum computing task information to be executed to the database, so that the quantum computing task information is executed through a quantum computer in the subsequent steps. The quantum computing task information is task information that needs to be computed by a quantum computer, and specific content of the quantum computing task information may be set according to actual conditions, which is not limited herein. The specific type of the database will be described in detail in the following embodiments of the invention, and will not be described herein again.
In this step, the queue management server queries the newly added quantum computing task information in the database, and generally periodically queries the newly added quantum computing task information in the database, so as to upload the quantum computing task information to the network queue in the subsequent step.
S102: and uploading the quantum computing task information to a network queue.
Specifically, the queue management server maintains a network queue. In this step, the queue management server generally downloads the newly added quantum computing task information to a local queue established in the cache of the queue management server, and then uploads the quantum computing task information in the local queue to the network queue. The specific process related to the network queue establishment will be described in detail in the following embodiments of the present invention, and will not be described herein again.
S103: when a task request sent by any task execution node is acquired, quantum computation task information of a preset number is sent to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through a quantum computer connected with the task execution nodes.
In the embodiment of the present invention, a plurality of the task execution nodes are connected to a plurality of the quantum computers in a one-to-one correspondence. The task execution node is usually established in an upper computer of the quantum computer, is directly connected with the quantum computer, and is used for directly issuing quantum computing task information to the quantum computer. In the embodiment of the invention, the queue management server is connected with all the task execution nodes in a communication way.
In the embodiment of the invention, when a certain task execution node finds that the quantum computer corresponding to the task execution node does not execute the task or the load is low, the task execution node actively sends a task request needing to download the task to the queue management server. The specific standard for the task execution node to send the task request may be set according to the actual situation, and is not limited specifically herein. In this step, the queue management server receives the task request, and then sends quantum computing task information to the task execution node according to the task request and the sequence of the quantum computing task information in the network queue; and then the task execution node sends the received quantum computation task information to the quantum computer, so that the quantum computer processes the received quantum computation task information and the distribution of the quantum computation task information is realized. The preset number is usually one, and of course, the preset number may have other values, which is not specifically limited in the embodiment of the present invention.
The quantum computer cluster distributed queue scheduling method provided by the embodiment of the invention comprises the steps of inquiring newly added quantum computing task information in a database; uploading quantum computing task information to a network queue; when a task request sent by any task execution node is acquired, sending quantum computation task information of a preset number to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through a quantum computer connected with the task execution nodes; and the plurality of task execution nodes are connected with the plurality of quantum computers in a one-to-one correspondence manner.
Displaying the information to a client by setting a unified database to store quantum computing task information; inquiring a database by setting a queue management server, and issuing quantum computing task information in a network queue mode; the task execution nodes deployed at the upper computer of each quantum computer search and issue quantum computing task information in the network queue, so that task scheduling of the distributed cluster can be realized, different quantum computing tasks are distributed to a plurality of quantum computers to be executed in an active application mode of the task execution nodes, and large-scale operation of the quantum computers can be realized.
The details of the quantum computer cluster distributed queue scheduling method provided by the present invention will be described in detail in the following embodiments of the present invention.
Referring to fig. 2, fig. 2 is a flowchart of a specific quantum computer cluster distributed queue scheduling method according to an embodiment of the present invention.
Referring to fig. 2, in the embodiment of the present invention, a quantum computer cluster distributed queue scheduling method is applied to a queue management server, and includes:
s201: and inquiring newly added quantum computing task information in the database.
In an embodiment of the present invention, the quantum computing task information includes a commit time and a priority. The submission time can represent the order of submission among different quantum computing task information, and the priority can represent the importance degree among different quantum computing task information. Specifically, in the embodiment of the present invention, the database is usually a relational database, that is, the database is essentially a table, that is, a task data table. The relational database generally includes an experiment task ID, experiment task specific content, queuing state, and the like. In the embodiment of the invention, the relational database also records the submission time and the priority corresponding to the quantum computing task information.
The rest of this step is described in detail in S101 in the above embodiment of the present invention, and is not described herein again.
S202: and arranging the quantum computing task information in the network queue according to the priority and the submission time.
In this step, the information is arranged in the network queue according to the priorities and submission times of the different quantum computing tasks. For example, different quantum computing task information is firstly arranged in a network queue according to the priority; and then, in the same priority, arranging the quantum computing task information according to the submission time and the sequence of the submission time so as to realize the arrangement of the sequence of the quantum computing task information in the network queue. Of course, the quantum computing task information may also be arranged according to other parameters or other rules in the embodiment of the present invention, and is not particularly limited in the embodiment of the present invention.
S203: when a task request sent by any task execution node is acquired, quantum computation task information of a preset number is sent to the task execution nodes according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed through a quantum computer connected with the task execution nodes.
This step is substantially the same as S103 in the above embodiment of the present invention, and for details, reference is made to the above embodiment of the present invention, which is not repeated herein.
S204: and receiving task processing result information sent by the task execution node through the result queue.
In this embodiment of the present invention, the task processing result information is task processing result information obtained after the quantum computer processes the quantum computing task information. The queue management server can maintain a result queue in addition to the network queue, and each time a quantum computer completes a quantum computing task message, a task processing result message is generated, and at this time, the task execution node can upload the task processing result message to the result queue maintained by the queue management server.
S205: and sending the task processing result information stored in the result queue to a database for storage.
In this step, the queue management server sends the task processing result information from the result queue to the database for storage, so that the client can conveniently retrieve the task processing result information corresponding to the quantum computing task information from the database. When the database is a relational database, a client can easily inquire task processing result information corresponding to the quantum computing task information according to the task data table.
Since the multiprocessing module of Python at the present stage not only supports multiple processes, the managers submodule also supports the distribution of multiple processes to multiple machines. Correspondingly, when the distributed system is established, the distributed system can be established according to the managers submodule. Specifically, in the embodiment of the present invention, an instance manager of a queuemanager (basemanager) is first created based on Python, and an IP address, a port, and a validation code are given as a queue management server. Then, Queue is used for creating queues, namely a network Queue task _ Queue and a result Queue result _ Queue, so as to be responsible for communication between processes; finally, the network queue and the result queue are registered in the network, and the queue is usually renamed for convenient use during registration.
In the actual use process, the above example manager needs to be started to execute the quantum computer cluster distributed queue scheduling method provided by the embodiment of the present invention.
According to the quantum computer cluster distributed queue scheduling method provided by the embodiment of the invention, task processing result information generated by a quantum computer can be returned to a database through a result queue so as to facilitate user side query.
In the following, a quantum computer cluster distributed queue scheduling system provided by an embodiment of the present invention is introduced, and the scheduling system described below and the scheduling method described above may be referred to correspondingly.
Referring to fig. 3, fig. 3 is a structural block diagram of a distributed queue scheduling system of a quantum computer cluster according to an embodiment of the present invention, and referring to fig. 3, the distributed queue scheduling system of a quantum computer cluster includes a database 1, a queue management server 2, a plurality of quantum computers 4, and a plurality of task execution nodes 3, where the plurality of task execution nodes 3 are connected to the plurality of quantum computers 4 in a one-to-one correspondence manner, all the task execution nodes 3 are connected to the queue management server 2, and the queue management server 2 is connected to the database 1; a network queue is maintained in the queue management server 2.
The queue management server 2 is configured to:
and inquiring newly added quantum computing task information in the database 1.
And uploading the quantum computing task information to the network queue.
When a task request sent by any one of the task execution nodes 3 is acquired, sending a preset number of quantum computation task information to the task execution nodes 3 according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed by a quantum computer 4 connected with the task execution nodes 3.
Specifically, in the embodiment of the present invention, a result queue is also maintained in the queue management server 2.
The queue management server 2 is further configured to:
receiving task processing result information sent by the task execution node 3 through the result queue; the task processing result information is obtained after the quantum computer 4 processes the quantum computing task information.
Specifically, in this embodiment of the present invention, the queue management server 2 is further configured to:
and sending the task processing result information stored in the result queue to the database 1 for storage.
Specifically, in the embodiment of the present invention, the database 1 is a relational database 1.
Specifically, in the embodiment of the present invention, the quantum computing task information includes a submission time and a priority.
The queue management server 2 is specifically configured to:
and arranging the quantum computing task information in the network queue according to the priority and the submission time.
The steps specifically executed by the queue management server 2 have been described in detail in the above embodiments of the present invention, and are not described again here. In the embodiment of the invention, any quantum computer 4 is correspondingly connected with one task execution node 3, all the task execution nodes 3 are in communication connection with the queue management server 2 through a network, the queue management server 2 is in communication connection with the database 1 exposed to the client, and a network queue and a result queue are maintained in the queue management server 2.
The quantum computer cluster distributed queue scheduling system of this embodiment is used to implement the foregoing quantum computer cluster distributed queue scheduling method, and therefore a specific implementation manner in the scheduling system can be seen in the foregoing embodiment section of the scheduling method. Therefore, the detailed description thereof may refer to the description of the corresponding partial embodiments, which is not repeated herein.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The quantum computer cluster distributed queue scheduling method and the quantum computer cluster distributed queue scheduling system provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A quantum computer cluster distributed queue scheduling method is applied to a queue management server and comprises the following steps:
inquiring newly added quantum computing task information in a database;
uploading the quantum computing task information to a network queue;
when a task request sent by any task execution node is acquired, sending a preset number of quantum computation task information to the task execution node according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed by a quantum computer connected with the task execution node; and the plurality of task execution nodes are connected with the plurality of quantum computers in a one-to-one correspondence manner.
2. The method of claim 1, further comprising:
receiving task processing result information sent by the task execution node through a result queue; and the task processing result information is obtained after the quantum computer processes the quantum computing task information.
3. The method according to claim 2, further comprising, after receiving, through a result queue, task processing result information sent by the task execution node:
and sending the task processing result information stored in the result queue to the database for storage.
4. The method of claim 1, wherein the database is a relational database.
5. The method of claim 1, wherein the quantum computing task information comprises a commit time and a priority;
the uploading the quantum computing task information to a network queue comprises:
and arranging the quantum computing task information in the network queue according to the priority and the submission time.
6. A quantum computer cluster distributed queue scheduling system is characterized by comprising a database, a queue management server, a plurality of quantum computers and a plurality of task execution nodes, wherein the task execution nodes are connected with the quantum computers in a one-to-one correspondence manner, all the task execution nodes are connected with the queue management server, and the queue management server is connected with the database; a network queue is maintained in the queue management server;
the queue management server is configured to:
inquiring newly added quantum computing task information in the database;
uploading the quantum computing task information to the network queue;
when a task request sent by any one task execution node is acquired, sending a preset number of quantum computation task information to the task execution node according to the sequence of the quantum computation task information in the network queue, so that the quantum computation task information is processed by a quantum computer connected with the task execution node.
7. The system of claim 6, wherein a result queue is also maintained within the queue management server;
the queue management server is further configured to:
receiving task processing result information sent by the task execution node through the result queue; and the task processing result information is obtained after the quantum computer processes the quantum computing task information.
8. The system of claim 7, wherein the queue management server is further configured to:
and sending the task processing result information stored in the result queue to the database for storage.
9. The system of claim 6, wherein the database is a relational database.
10. The system of claim 6, wherein the quantum computing task information includes a commit time and a priority;
the queue management server is specifically configured to:
and arranging the quantum computing task information in the network queue according to the priority and the submission time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010605010.3A CN111782361B (en) | 2020-06-29 | 2020-06-29 | Quantum computer cluster distributed queue scheduling method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010605010.3A CN111782361B (en) | 2020-06-29 | 2020-06-29 | Quantum computer cluster distributed queue scheduling method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111782361A true CN111782361A (en) | 2020-10-16 |
| CN111782361B CN111782361B (en) | 2024-04-30 |
Family
ID=72760819
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010605010.3A Active CN111782361B (en) | 2020-06-29 | 2020-06-29 | Quantum computer cluster distributed queue scheduling method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111782361B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112817763A (en) * | 2021-02-04 | 2021-05-18 | 深圳市永达电子信息股份有限公司 | Method and system for scheduling brain-like supercomputing task queue based on table function and computer storage medium |
| CN113254175A (en) * | 2021-05-27 | 2021-08-13 | 航天宏图信息技术股份有限公司 | Algorithm scheduling method, data processing flow driving method and device |
| CN114579286A (en) * | 2022-05-05 | 2022-06-03 | 支付宝(杭州)信息技术有限公司 | Task scheduling system, method, device and storage medium |
| WO2022236993A1 (en) * | 2021-05-11 | 2022-11-17 | 山东浪潮科学研究院有限公司 | Distributed monitoring and scheduling method for quantum computer cluster |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160357778A1 (en) * | 2015-06-02 | 2016-12-08 | David MacKenzie | System for handling event messages for file collaboration |
| CN109710407A (en) * | 2018-12-21 | 2019-05-03 | 浪潮电子信息产业股份有限公司 | Distributed system real-time task scheduling method, device, equipment and storage medium |
-
2020
- 2020-06-29 CN CN202010605010.3A patent/CN111782361B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160357778A1 (en) * | 2015-06-02 | 2016-12-08 | David MacKenzie | System for handling event messages for file collaboration |
| CN109710407A (en) * | 2018-12-21 | 2019-05-03 | 浪潮电子信息产业股份有限公司 | Distributed system real-time task scheduling method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 郭明强;黄颖;谢忠;: "一种多核环境下的WebGIS模型优化策略", 计算机工程, no. 08 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112817763A (en) * | 2021-02-04 | 2021-05-18 | 深圳市永达电子信息股份有限公司 | Method and system for scheduling brain-like supercomputing task queue based on table function and computer storage medium |
| CN112817763B (en) * | 2021-02-04 | 2023-08-11 | 深圳市永达电子信息股份有限公司 | Method, system and computer storage medium for scheduling brain-like supercomputing task queue based on table function |
| WO2022236993A1 (en) * | 2021-05-11 | 2022-11-17 | 山东浪潮科学研究院有限公司 | Distributed monitoring and scheduling method for quantum computer cluster |
| CN113254175A (en) * | 2021-05-27 | 2021-08-13 | 航天宏图信息技术股份有限公司 | Algorithm scheduling method, data processing flow driving method and device |
| CN114579286A (en) * | 2022-05-05 | 2022-06-03 | 支付宝(杭州)信息技术有限公司 | Task scheduling system, method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111782361B (en) | 2024-04-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111782361B (en) | Quantum computer cluster distributed queue scheduling method and system | |
| US10133797B1 (en) | Distributed heterogeneous system for data warehouse management | |
| CN108173774B (en) | Client upgrading method and system | |
| US9262218B2 (en) | Methods and apparatus for resource management in cluster computing | |
| US11341202B2 (en) | Efficient method of location-based content management and delivery | |
| US8707313B1 (en) | Scheduler for search engine crawler | |
| US9178766B2 (en) | Provisioning multiple network resources | |
| US20070143442A1 (en) | Scalable Publish/Subscribe Broker Network Using Active Load Balancing | |
| KR101928529B1 (en) | Code Distributed Hash Table based MapReduce System and Method | |
| US20070150602A1 (en) | Distributed and Replicated Sessions on Computing Grids | |
| US20190014161A1 (en) | Downloading of server-based content through peer-to-peer networks | |
| US10158709B1 (en) | Identifying data store requests for asynchronous processing | |
| US20090043742A1 (en) | Method and system for off-loading user queries to a task manager | |
| US10102230B1 (en) | Rate-limiting secondary index creation for an online table | |
| US8930518B2 (en) | Processing of write requests in application server clusters | |
| US10635650B1 (en) | Auto-partitioning secondary index for database tables | |
| US20180314548A1 (en) | Work item management in content management systems | |
| EP3146430B1 (en) | System and method for supporting a distributed data structure in a distributed data grid | |
| JP2014526743A (en) | Scale-out system that acquires event data | |
| CN111400301A (en) | Data query method, device and equipment | |
| WO2021073405A1 (en) | Data distribution method, electronic device, and storage medium | |
| WO2018188607A1 (en) | Stream processing method and device | |
| US10097628B2 (en) | Resource affinity in a dynamic resource pool | |
| US20190387054A1 (en) | Method, electronic device and computer program product for searching for node | |
| CN114466031B (en) | CDN system node configuration method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240331 Address after: 250098 building S02, No. 1036, Gaoxin Inspur Road, Jinan, Shandong Applicant after: Shandong Inspur Scientific Research Institute Co.,Ltd. Country or region after: China Address before: 250104 1st floor, R & D building, 2877 Kehang Road, Suncun Town, high tech Zone, Jinan City, Shandong Province Applicant before: JINAN INSPUR HIGH-TECH TECHNOLOGY DEVELOPMENT Co.,Ltd. Country or region before: China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |