Code generation tool for cloud-native high-performance computing

Patent metadata

Field	Value
Publication number	US-11714614-B2
Application number	US-202117321137-A
Country	US
Kind code	B2
Filing date	May 14, 2021
Priority date	Feb 17, 2021
Publication date	Aug 1, 2023
Grant date	Aug 1, 2023

Abstract

Methods, storage media, and systems for translating a software expression from a user application programming interface (API) call to an API call of a software development kit (SDK) are disclosed. Some examples may include: receiving a tagged expression indicating that a translation of the software expression from a user API call to an API call of an SDK is to be performed, the SDK being associated with a cloud-native high-performance computing environment, processing an abstract syntax tree associated with the software expression, the processing including replacing symbols in the abstract syntax tree with respective variables, replacing a return statement in the abstract syntax tree with a serialization instruction to write a result to local storage, and serializing the processed abstract syntax tree and providing the serialized abstract syntax tree and one or more resource files to the cloud-native high-performance computing environment for execution.

First claim

What is claimed is:

1. A method for translating a software expression from a user application programming interface (API) call to an API call of a software development kit (SDK), the method comprising:
receiving a tagged expression indicating that a translation of the software expression from a user API call to an API call of an SDK is to be performed, the SDK being associated with a cloud-native high-performance computing environment;
processing an abstract syntax tree associated with the software expression, the processing including replacing symbols in the abstract syntax tree with respective variables, replacing a return statement in the abstract syntax tree with a serialization instruction to write a result to local storage, and serializing the processed abstract syntax tree; and
providing the serialized abstract syntax tree and one or more resource files to the cloud-native high-performance computing environment for execution.

2. The method according to claim 1 , further comprising:
creating batch job to execute at least a portion of the serialized abstract syntax tree in the cloud-native high-performance computing environment;
creating a storage container associated with the batch job; and
creating a specialized resource container associated with the one or more resource files.

3. The method according to claim 2 , wherein the batch job is a multitask batch job.

4. The method according to claim 1 , further comprising:
serializing output associated with the return statement to a filename; and
adding the filename as an output resource in the one or more resource files.

5. The method according to claim 1 , further comprising:
expanding the software expression by collecting and analyzing symbols in the abstract syntax tree;
splitting the software expression into a plurality of individual tasks such that a single expression is created for each task; and
performing the plurality of individual tasks in parallel.

6. The method according to claim 5 , further comprising:
analyzing a plurality of software expressions; and
automatically tagging at least one of the plurality of software expressions resulting in the tagged expression.

7. The method of according to claim 1 , further comprising providing the serialized abstract syntax tree to the cloud-native high-performance computing environment a resource file.

8. One or more computer storage media including instructions, which when executed by a processor, cause the processor to:
receive a tagged expression indicating that a translation of a software expression from a user API call to an API call of an SDK is to be performed, the SDK being associated with a cloud-native high-performance computing environment;
process an abstract syntax tree associated with the software expression by replacing symbols in the abstract syntax tree with respective variables, replacing a return statement in the abstract syntax tree with a serialization instruction to write a result to local storage, and serializing the processed abstract syntax tree; and
provide the serialized abstract syntax tree and one or more resource files to the cloud-native high-performance computing environment for execution.

9. The one or more computer storage media of claim 8 , wherein the instructions, which when executed by a processor, cause the processor to:
create batch job to execute at least a portion of the serialized abstract syntax tree in the cloud-native high-performance computing environment;
create a storage container associated with the batch job; and
create a specialized resource container associated with the one or more resource files.

10. The one or more computer storage media of claim 9 , wherein the batch job is a multitask batch job.

11. The one or more computer storage media of claim 8 , wherein the instructions, which when executed by a processor, cause the processor to:
serialize output associated with the return statement to a filename; and
add the filename as an output resource in the one or more resource files.

12. The one or more computer storage media of claim 8 , wherein the instructions, which when executed by a processor, cause the processor to:
expand the software expression by collecting and analyzing symbols in the abstract syntax tree;
split the software expression into a plurality of individual tasks such that a single expression is created for each task; and
perform the plurality of individual tasks in parallel.

13. The one or more computer storage media of claim 12 , wherein the instructions, which when executed by a processor, cause the processor to:
analyzing a plurality of software expressions; and
automatically tag at least one of the plurality of software expressions resulting in the tagged expression.

14. The one or more computer storage media of claim 8 , wherein the instructions, which when executed by a processor, cause the processor to provide the serialized abstract syntax tree to the cloud-native high-performance computing environment a resource file.

15. A system, comprising:
one or more hardware processors configured by machine-readable instructions to:
receive a tagged expression indicating that a translation of a software expression from a user API call to an API call of an SDK is to be performed, the SDK being associated with a cloud-native high-performance computing environment;
process an abstract syntax tree associated with the software expression, the processing including replacing symbols in the abstract syntax tree with respective variables, replacing a return statement in the abstract syntax tree with a serialization instruction to write a result to local storage, and serializing the processed abstract syntax tree; and
provide the serialized abstract syntax tree and one or more resource files to the cloud-native high-performance computing environment for execution.

16. The system according to claim 15 , wherein the one or more hardware processors are further configured by machine-readable instructions to:
create batch job to execute at least a portion of the serialized abstract syntax tree in the cloud-native high-performance computing environment;
create a storage container associated with the batch job; and
create a specialized resource container associated with the one or more resource files.

17. The system according to claim 16 , wherein the batch job is a multitask batch job.

18. The system according to claim 15 , wherein the one or more hardware processors are further configured by machine-readable instructions to:
serialize output associated with the return statement to a filename; and
add the filename as an output resource in the one or more resource files.

19. The system according to claim 15 , wherein the one or more hardware processors are further configured by machine-readable instructions to:
expand the software expression by collecting and analyzing symbols in the abstract syntax tree;
split the software expression into a plurality of individual tasks such that a single expression is created for each task; and
perform the plurality of individual tasks in parallel.

20. The system according to claim 19 , wherein the one or more hardware processors are further configured by machine-readable instructions to:
analyze a plurality of software expressions; and
automatically tag at least one of the plurality of software expressions resulting in the tagged expression.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Witte Philipp Andre

Classifications

• G06F9/541

  via adapters, e.g. between incompatible applications · CPC title

• G06F8/40 Primary

  Transformation of program code · CPC title

• G06F8/30 Primary

  Creation or generation of source code · CPC title

• G06F9/48

  Program initiating; Program switching, e.g. by interrupt · CPC title

• G06F8/36

  Software reuse · CPC title