Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Doc] Add 22.08 docs' links [skip ci] #6234

Merged
merged 1 commit into from
Aug 17, 2022
Merged

[Doc] Add 22.08 docs' links [skip ci] #6234

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 21 additions & 0 deletions docs/download.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,27 @@ for your hardware's minimum driver version.
*For Cloudera and EMR support, please refer to the
[Distributions](./FAQ.md#which-distributions-are-supported) section of the FAQ.

### Download v22.08.0
* Download the [RAPIDS
Accelerator for Apache Spark 22.08.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.08.0/rapids-4-spark_2.12-22.08.0.jar)

This package is built against CUDA 11.5 and all CUDA 11.x versions are supported through [CUDA forward
compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html). It is tested
on V100, T4, A2, A10, A30 and A100 GPUs with CUDA 11.0-11.5. For those using other types of GPUs which
do not have CUDA forward compatibility (for example, GeForce), CUDA 11.5 or later is required. Users will
need to ensure the minimum driver (450.80.02) and CUDA toolkit are installed on each Spark node.

### Verify signature
* Download the [RAPIDS Accelerator for Apache Spark 22.08.0 jar](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.08.0/rapids-4-spark_2.12-22.08.0.jar)
and [RAPIDS Accelerator for Apache Spark 22.08.0 jars.asc](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.08.0/rapids-4-spark_2.12-22.08.0.jar.asc)
* Download the [PUB_KEY](https://keys.openpgp.org/search?q=sw-spark@nvidia.com).
* Import the public key: `gpg --import PUB_KEY`
* Verify the signature: `gpg --verify rapids-4-spark_2.12-22.08.0.jar.asc rapids-4-spark_2.12-22.08.0.jar`

The output if signature verify:

gpg: Good signature from "NVIDIA Spark (For the signature of spark-rapids release jars) <sw-spark@nvidia.com>"

### Release Notes
New functionality and performance improvements for this release include:
* Rocky Linux 8 support
Expand Down
2 changes: 1 addition & 1 deletion docs/spark-profiling-tool.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ more information.
The Profiling tool requires the Spark 3.x jars to be able to run but do not need an Apache Spark run time.
If you do not already have Spark 3.x installed,
you can download the Spark distribution to any machine and include the jars in the classpath.
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.06.0/)
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.08.0/)
- [Download Apache Spark 3.x](http://spark.apache.org/downloads.html) - Spark 3.1.1 for Apache Hadoop is recommended
If you want to compile the jars, please refer to the instructions [here](./spark-qualification-tool.md#How-to-compile-the-tools-jar).

Expand Down
4 changes: 2 additions & 2 deletions docs/spark-qualification-tool.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ more information.
The Qualification tool require the Spark 3.x jars to be able to run but do not need an Apache Spark run time.
If you do not already have Spark 3.x installed, you can download the Spark distribution to
any machine and include the jars in the classpath.
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.06.0/)
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.08.0/)
- [Download Apache Spark 3.x](http://spark.apache.org/downloads.html) - Spark 3.1.1 for Apache Hadoop is recommended

### Step 2 Run the Qualification tool
Expand Down Expand Up @@ -307,7 +307,7 @@ to [Understanding the Qualification tool output](#understanding-the-qualificatio
- Java 8 or above, Spark 3.0.1+

### Download the tools jar
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.06.0/)
- Download the jar file from [Maven repository](https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark-tools_2.12/22.08.0/)

### Modify your application code to call the api's

Expand Down