Use E-HPC SDKs to efficiently develop applications - Elastic High Performance Computing

You can use Elastic High Performance Computing (E-HPC) SDKs to create and manage clusters and submit jobs in an efficient manner. You need only to focus on your business logic without concerning yourself with bottom-layer operation and maintenance. This topic provides links to tutorials on how to use E-HPC SDKs.

Supported SDKs

In this topic, E-HPC SDK for Java and E-HPC SDK for Python 3 are used. For information about how to install and integrate E-HPC SDKs for different programming languages, visit SDK Center.

SDK	Download URL	Installation method	References
Java SDK	java-ehpc-20240730	`<dependency> <groupId>com.aliyun</groupId> <artifactId>ehpc20240730</artifactId> <version>1.0.0</version> </dependency>`	Use Alibaba Cloud SDKs for Java in an IDE
Python 3 SDK	python3-ehpc-20240730	`pip install alibabacloud_ehpc20240730==1.0.0`	Use Alibaba Cloud SDKs for Python in an IDE

Tutorials for using E-HPC SDKs

For information about the request structure and how to use E-HPC SDKs, see Get started with Alibaba Cloud Darabonba SDK for Java.
For more information about how to obtain an AccessKey pair, see Obtain an AccessKey pair.

Examples of using E-HPC SDKs

You can use the API-level SDK demos in different programming languages for debugging. To view the sample code, visit OpenAPI Explorer.

Note

Before you use the sample code, you must be familiar with the following parameters:

${endpoint}: the endpoint of E-HPC. For more information, see Endpoints.
${accessKeyId} and ${accessKeySecret}: the AccessKey pair that you use to call Alibaba Cloud API operations. You can log on to the RAM console and view your AccessKey pair. For more information, see View the information about AccessKey pairs of a RAM user.