SG10201800154RA - Executing computational graphs on graphics processing units - Google Patents
Executing computational graphs on graphics processing unitsInfo
- Publication number
- SG10201800154RA SG10201800154RA SG10201800154RA SG10201800154RA SG10201800154RA SG 10201800154R A SG10201800154R A SG 10201800154RA SG 10201800154R A SG10201800154R A SG 10201800154RA SG 10201800154R A SG10201800154R A SG 10201800154RA SG 10201800154R A SG10201800154R A SG 10201800154RA
- Authority
- SG
- Singapore
- Prior art keywords
- computational graph
- processing units
- graphics processing
- executing
- processing unit
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9024—Graphs; Linked lists
-
- 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
- G06F9/5038—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 the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
- G06N3/105—Shells for specifying net layout
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Neurology (AREA)
- Stored Programmes (AREA)
- Image Processing (AREA)
- Devices For Executing Special Programs (AREA)
- Image Generation (AREA)
Abstract
EXECUTING COMPUTATIONAL GRAPHS ON GRAPHICS PROCESSING UNITS Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a data entity that causes a processing unit to process a computational graph. In one aspect, method includes the actions of receiving data identifying a computational graph, the computational graph including a plurality of nodes representing operations; obtaining compilation artifacts for processing the computational graph on a processing unit; and generating a data entity from the compilation artifacts, wherein the data entity, when invoked, causes the processing unit to process the computational graph by executing the operations represented by the plurality of nodes. FIG. 2
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/400,937 US10325340B2 (en) | 2017-01-06 | 2017-01-06 | Executing computational graphs on graphics processing units |
Publications (1)
Publication Number | Publication Date |
---|---|
SG10201800154RA true SG10201800154RA (en) | 2018-08-30 |
Family
ID=61190469
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG10201800154RA SG10201800154RA (en) | 2017-01-06 | 2018-01-05 | Executing computational graphs on graphics processing units |
Country Status (6)
Country | Link |
---|---|
US (2) | US10325340B2 (en) |
CN (2) | CN114429201A (en) |
DE (2) | DE102018100258A1 (en) |
GB (1) | GB2560409A (en) |
SG (1) | SG10201800154RA (en) |
WO (1) | WO2018129366A1 (en) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102018110687A1 (en) | 2017-05-05 | 2018-11-08 | Intel Corporation | Dynamic accuracy management for deep learning integer primitives |
CN109522521A (en) * | 2018-11-16 | 2019-03-26 | 北京中创碳投科技有限公司 | A kind of data processing method, device and computer equipment |
KR20200083048A (en) | 2018-12-31 | 2020-07-08 | 삼성전자주식회사 | Neural network system predicting polling time and neural network model processing method using the same |
CN111459464B (en) * | 2019-01-22 | 2023-04-25 | 阿里巴巴集团控股有限公司 | Node fusion method, code generation method and device |
CN111667060B (en) * | 2019-03-08 | 2022-12-09 | 上海寒武纪信息科技有限公司 | Deep learning algorithm compiling method and device and related products |
CN111626398B (en) * | 2019-02-28 | 2022-12-09 | 上海寒武纪信息科技有限公司 | Operation method, device and related product |
CN111292223B (en) * | 2020-01-22 | 2023-07-25 | 北京百度网讯科技有限公司 | Graph calculation processing method and device, electronic equipment and storage medium |
CN112631605B (en) * | 2020-12-31 | 2024-04-26 | 深圳前海微众银行股份有限公司 | Code compiling method, device and equipment of federal learning model and storage medium |
Family Cites Families (23)
Publication number | Priority date | Publication date | Assignee | Title |
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US4309756A (en) | 1971-02-17 | 1982-01-05 | Beckler Robert I | Method of automatically evaluating source language logic condition sets and of compiling machine executable instructions directly therefrom |
US6519767B1 (en) | 1995-06-07 | 2003-02-11 | Microsoft Corporation | Compiler and method for automatically building version compatible object applications |
US6311265B1 (en) * | 1996-03-25 | 2001-10-30 | Torrent Systems, Inc. | Apparatuses and methods for programming parallel computers |
US5844554A (en) | 1996-09-17 | 1998-12-01 | Bt Squared Technologies, Inc. | Methods and systems for user interfaces and constraint handling configurations software |
JP2001249949A (en) * | 2000-03-07 | 2001-09-14 | Nec Corp | Feeling generation method, feeling generator and recording medium |
US20050114850A1 (en) | 2003-10-29 | 2005-05-26 | Saurabh Chheda | Energy-focused re-compilation of executables and hardware mechanisms based on compiler-architecture interaction and compiler-inserted control |
US7996671B2 (en) | 2003-11-17 | 2011-08-09 | Bluerisc Inc. | Security of program executables and microprocessors based on compiler-architecture interaction |
US7343482B2 (en) | 2004-10-20 | 2008-03-11 | Arm Limited | Program subgraph identification |
US7954094B2 (en) | 2006-03-27 | 2011-05-31 | International Business Machines Corporation | Method for improving performance of executable code |
US20080276252A1 (en) * | 2007-05-04 | 2008-11-06 | Microsoft Corporation | Kernel event visualization |
CN101894051A (en) * | 2010-07-29 | 2010-11-24 | 中国科学技术大学 | Primary and secondary data structure-based CPU-GPU cooperative computing method |
BRPI1104413B1 (en) * | 2011-09-19 | 2020-12-01 | Universidade Estadual De Campinas - Unicamp | gas leak detection system and method, method of determining the magnitude and location of gas leak through neural networks and use in rigid and / or flexible tubing |
US8707314B2 (en) * | 2011-12-16 | 2014-04-22 | Advanced Micro Devices, Inc. | Scheduling compute kernel workgroups to heterogeneous processors based on historical processor execution times and utilizations |
US9332083B2 (en) * | 2012-11-21 | 2016-05-03 | International Business Machines Corporation | High performance, distributed, shared, data grid for distributed Java virtual machine runtime artifacts |
GB2510348A (en) * | 2013-01-31 | 2014-08-06 | Ibm | Data transmissions using RDMA, data structures and fingerprints of the data structures |
US11061539B2 (en) * | 2013-03-15 | 2021-07-13 | The Mathworks, Inc. | Reference nodes in a computational graph |
US9104432B2 (en) | 2013-06-24 | 2015-08-11 | International Business Machines Corporation | Extracting stream graph structure in a computer language by pre-executing a deterministic subset |
US9424079B2 (en) | 2013-06-27 | 2016-08-23 | Microsoft Technology Licensing, Llc | Iteration support in a heterogeneous dataflow engine |
CN104915187A (en) * | 2014-03-13 | 2015-09-16 | 华为技术有限公司 | Graph model calculation method and device |
WO2015191746A1 (en) | 2014-06-13 | 2015-12-17 | The Charles Stark Draper Laboratory, Inc. | Systems and methods for a database of software artifacts |
US9760406B2 (en) * | 2014-09-02 | 2017-09-12 | Ab Initio Technology Llc | Controlling data processing tasks |
CN105701506B (en) * | 2016-01-12 | 2019-01-18 | 杭州电子科技大学 | A kind of improved method based on transfinite learning machine and rarefaction representation classification |
CN106055576B (en) * | 2016-05-20 | 2018-04-10 | 大连理工大学 | A kind of fast and effectively image search method under large-scale data background |
-
2017
- 2017-01-06 US US15/400,937 patent/US10325340B2/en active Active
-
2018
- 2018-01-05 SG SG10201800154RA patent/SG10201800154RA/en unknown
- 2018-01-05 GB GB1800176.8A patent/GB2560409A/en not_active Withdrawn
- 2018-01-05 WO PCT/US2018/012650 patent/WO2018129366A1/en active Application Filing
- 2018-01-08 DE DE102018100258.0A patent/DE102018100258A1/en active Pending
- 2018-01-08 CN CN202111658733.0A patent/CN114429201A/en active Pending
- 2018-01-08 DE DE202018100069.1U patent/DE202018100069U1/en active Active
- 2018-01-08 CN CN201810015495.3A patent/CN108460458B/en active Active
-
2019
- 2019-06-06 US US16/433,819 patent/US20190287210A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
CN108460458A (en) | 2018-08-28 |
US20190287210A1 (en) | 2019-09-19 |
US10325340B2 (en) | 2019-06-18 |
DE102018100258A1 (en) | 2018-07-12 |
WO2018129366A1 (en) | 2018-07-12 |
US20180197267A1 (en) | 2018-07-12 |
CN114429201A (en) | 2022-05-03 |
DE202018100069U1 (en) | 2018-04-09 |
GB201800176D0 (en) | 2018-02-21 |
GB2560409A (en) | 2018-09-12 |
CN108460458B (en) | 2022-01-11 |
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