CN114503077A - 用于机器学习工作负载的任务调度 - Google Patents
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- CN114503077A CN114503077A CN202080061569.2A CN202080061569A CN114503077A CN 114503077 A CN114503077 A CN 114503077A CN 202080061569 A CN202080061569 A CN 202080061569A CN 114503077 A CN114503077 A CN 114503077A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/5044—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 considering hardware capabilities
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/502—Proximity
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2212/00—Indexing scheme relating to accessing, addressing or allocation within memory systems or architectures
- G06F2212/25—Using a specific main memory architecture
- G06F2212/254—Distributed memory
- G06F2212/2542—Non-uniform memory access [NUMA] architecture
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
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- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Neurology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Advance Control (AREA)
- Multi Processors (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962938304P | 2019-11-20 | 2019-11-20 | |
| US62/938,304 | 2019-11-20 | ||
| US16/720,717 US11544113B2 (en) | 2019-11-20 | 2019-12-19 | Task scheduling for machine-learning workloads |
| US16/720,717 | 2019-12-19 | ||
| PCT/US2020/049648 WO2021101617A1 (en) | 2019-11-20 | 2020-09-08 | Task scheduling for machine-learning workloads |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114503077A true CN114503077A (zh) | 2022-05-13 |
Family
ID=75910002
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080061569.2A Pending CN114503077A (zh) | 2019-11-20 | 2020-09-08 | 用于机器学习工作负载的任务调度 |
Country Status (6)
| Country | Link |
|---|---|
| US (2) | US11544113B2 (enExample) |
| EP (1) | EP4062281A1 (enExample) |
| JP (2) | JP7379668B2 (enExample) |
| KR (1) | KR102759334B1 (enExample) |
| CN (1) | CN114503077A (enExample) |
| WO (1) | WO2021101617A1 (enExample) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US11544113B2 (en) * | 2019-11-20 | 2023-01-03 | Google Llc | Task scheduling for machine-learning workloads |
| WO2021195104A1 (en) * | 2020-03-23 | 2021-09-30 | Mentium Technologies Inc. | Digital-imc hybrid system architecture for neural network acceleration |
| CN111930498B (zh) * | 2020-06-29 | 2022-11-29 | 苏州浪潮智能科技有限公司 | 一种高效的gpu资源分配优化方法和系统 |
| KR102871422B1 (ko) * | 2020-10-21 | 2025-10-15 | 삼성전자주식회사 | 데이터 처리 방법 및 장치 및 이를 포함한 전자 장치 및 가속기 시스템 |
| US11847489B2 (en) * | 2021-01-26 | 2023-12-19 | Apple Inc. | United states graphics processor techniques with split between workload distribution control data on shared control bus and corresponding graphics data on memory interfaces |
| US11436054B1 (en) * | 2021-04-05 | 2022-09-06 | Hewlett Packard Enterprise Development Lp | Directing queries to nodes of a cluster of a container orchestration platform distributed across a host system and a hardware accelerator of the host system |
| US11716257B1 (en) * | 2021-05-24 | 2023-08-01 | Neureality Ltd. | Batching of artificial intelligence jobs |
| DE102021213282A1 (de) * | 2021-11-25 | 2023-05-25 | Robert Bosch Gesellschaft mit beschränkter Haftung | Partizipatives Sicherheitsprotokoll für Datenwolken-basierte Funktionen |
| CN114490002B (zh) * | 2022-02-17 | 2025-11-28 | 上海阵量智能科技有限公司 | 数据处理系统、任务调度方法、装置、芯片、及电子设备 |
| US12417047B2 (en) * | 2023-01-10 | 2025-09-16 | Google Llc | Heterogeneous ML accelerator cluster with flexible system resource balance |
| US20250045099A1 (en) * | 2023-08-02 | 2025-02-06 | Samsung Electronics Co., Ltd. | Systems, methods, and apparatus for assigning machine learning tasks to compute devices |
| US12481534B2 (en) * | 2024-01-22 | 2025-11-25 | Dropbox, Inc. | Dynamically selecting artificial intelligence models and hardware environments to execute tasks |
| TWI897553B (zh) * | 2024-06-19 | 2025-09-11 | 聯發科技股份有限公司 | 處理單元的排程方法及非暫態機器可讀介質 |
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| US20190312772A1 (en) * | 2018-04-04 | 2019-10-10 | EMC IP Holding Company LLC | Topology-aware provisioning of hardware accelerator resources in a distributed environment |
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2019
- 2019-12-19 US US16/720,717 patent/US11544113B2/en active Active
-
2020
- 2020-09-08 WO PCT/US2020/049648 patent/WO2021101617A1/en not_active Ceased
- 2020-09-08 CN CN202080061569.2A patent/CN114503077A/zh active Pending
- 2020-09-08 EP EP20775537.2A patent/EP4062281A1/en active Pending
- 2020-09-08 JP JP2022514245A patent/JP7379668B2/ja active Active
- 2020-09-08 KR KR1020227007076A patent/KR102759334B1/ko active Active
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2022
- 2022-12-29 US US18/091,263 patent/US12321781B2/en active Active
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2023
- 2023-11-01 JP JP2023187576A patent/JP7637747B2/ja active Active
Patent Citations (5)
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| CN105917311A (zh) * | 2014-01-21 | 2016-08-31 | 高通股份有限公司 | 用于便携式设备中的同步任务分发的系统和方法 |
| CN108885554A (zh) * | 2016-04-07 | 2018-11-23 | 国际商业机器公司 | 特定分散计算机系统 |
| CN107168782A (zh) * | 2017-04-24 | 2017-09-15 | 复旦大学 | 一种基于Spark与GPU的并行计算系统 |
| CN109564528A (zh) * | 2017-07-06 | 2019-04-02 | 华为技术有限公司 | 分布式计算中计算资源分配的系统和方法 |
| US20190312772A1 (en) * | 2018-04-04 | 2019-10-10 | EMC IP Holding Company LLC | Topology-aware provisioning of hardware accelerator resources in a distributed environment |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7379668B2 (ja) | 2023-11-14 |
| KR102759334B1 (ko) | 2025-01-22 |
| JP2024020271A (ja) | 2024-02-14 |
| JP7637747B2 (ja) | 2025-02-28 |
| WO2021101617A1 (en) | 2021-05-27 |
| US11544113B2 (en) | 2023-01-03 |
| KR20220038497A (ko) | 2022-03-28 |
| US20210149729A1 (en) | 2021-05-20 |
| JP2023511467A (ja) | 2023-03-20 |
| US12321781B2 (en) | 2025-06-03 |
| US20230136661A1 (en) | 2023-05-04 |
| EP4062281A1 (en) | 2022-09-28 |
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