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Installation and Setup

Installation and Setup

This guide provides step-by-step instructions for installing the Singularity container build of the Cerebras Software Development Kit (SDK).

This is the way to use the SDK if you’re running the fabric simulator locally on your own machine, or you’re using a legacy Cerebras system installation.

For information about using the SDK on Cerebras Wafer-Scale Clusters running in appliance mode, see Running SDK on a Wafer-Scale Cluster.

Summary

The files you downloaded from Cerebras will contain the SDK software consisting of several scripts, folders, and other files such as the EULA.

The SDK software is composed of a Singularity Image File named cbcore_sdk-1.1.0-{build id}.sif. There are helper scripts to access the relevant functionality of the SIF: cslc, cs_python, csdb, cs_readelf, and sdk_debug_shell.

Requirements

Make sure your system has the required software before proceeding to the installation.

(Optional) Hash check with sha256sum

After downloading the files on Dropbox, you should have the following files in the same directory:

  • Cerebras-SDK-1.1.0-{build_id}.tar.gz: The tarball containing the Singularity container.

  • sha256sum.txt: A text file containing the hash of all the tarball.

Verify that the downloaded files are not corrupted. Follow these steps:

In the directory where you have downloaded the tar file, verify the checksum:

$ cd /my/install/location
$ sha256sum --check sha256sum.txt

If you see the output that shows OK, then the downloaded files are not corrupted and are good to use.

Extract the files

  1. To extract the SDK contents, first set the following environment variables.

    The SDK_INSTALL_LOCATION is the location you want to install the Cerebras SDK. This can be any (writable) directory. SDK_INSTALL_LOCATION and SDK_TAR_PATH should be absolute paths.

    $ SDK_INSTALL_LOCATION=/my/install/location
$ SDK_INSTALL_PATH=$SDK_INSTALL_LOCATION/cs_sdk
$ SDK_TAR_PATH=/path/to/Cerebras-SDK-1.1.0-{build id}.tar.gz

  2. Create the directory where you will install the Cerebras SDK, and extract the files from the downloaded tar file into that directory.

    $ mkdir -p $SDK_INSTALL_PATH
$ tar -C $SDK_INSTALL_PATH -xvf $SDK_TAR_PATH

Extracted files

Verify that the following files are present in the $SDK_INSTALL_PATH directory:

  • cbcore_sdk-1.1.0-{build id}.sif: This is the SDK software. This file is about 3GB.

  • cerebras-software-eula.pdf: This is the End User License Agreement.

  • csdb: This is a script for running hardware debug tools.

  • cslc: This is a script for running the CSL compiler.

  • cs_python: This is a script for running Python code using the version of Python provided in the .sif.

  • cs_readelf: This is a script for running a Cerebras alternative to readelf.

  • sdk_debug_shell: This is a script for running simulation debug tools, including the smoke test and the SDK GUI.

  • sdk-gui-LICENSE.txt: This is the license for the GUI tool included.

  • csl-extras-{build id}.tar.gz: This is a tarball containing example programs and additional extras.

    • csl_examples/: This is a folder containing SDK example programs, including tutorials.

    • syntax_highlight/: This is a folder containing a CSL syntax highlighter for vi/vim and VS Code IDE.

Installing the SDK software

Continue with the below steps to install the SDK software.

  1. Add the Cerebras SDK to your PATH.

    $ PATH_CMD='export PATH='$SDK_INSTALL_PATH':$PATH'
$ eval $PATH_CMD

  2. Add PATH update command to .bashrc:

    $ echo $PATH_CMD >> ~/.bashrc

Test

  1. Make sure you are in the install directory by running the below command:

    $ cd $SDK_INSTALL_PATH

  2. Untar the examples if you have not done so already, and run a basic smoke test to verify that the included examples compile and run as expected:

    $ tar -xzvf csl-extras-{build id}.tar.gz
$ sdk_debug_shell smoke csl-extras-{build id}

You can optionally set the environment variable SINGULARITYENV_CSL_SUPPRESS_SIMFAB_TRACE=1 when running the smoke test to prevent the generation of simfab_traces for use with the SDK GUI. This will greatly decrease the disk space used by the smoke test. Note that you will need to unset this environment variable before running examples for use with the SDK GUI.

This smoke test will run all example programs in the simulator. If successful, your final output should be as below:

SUCCESS!
PASSED
SMOKE CHECK COMPLETED SUCCESSFULLY

A successful smoke test indicates that the package is installed and setup correctly.

  1. (Optional) Test for verifying SDK Debug GUI tool using the gemm-collectives_2d example:

    • Run the gemm-collectives_2d test:

      $ cd $SDK_INSTALL_PATH/csl-extras-{build id}/csl_examples/benchmarks/gemm_collectives_2d
$ ./commands.sh

    • Run the SDK Debug GUI:

      $ sdk_debug_shell visualize

    This will provide a URL.

    • Navigate to this URL in your browser:

      Click this link to open URL:  http://<url>:8000/sdk-gui?session_id=...
Click this link to open URL:  http://<ip address>:<port>/sdk-gui?session_id=...
Press Ctrl-C to exit

    If you navigate to either URL, you will see the following after selecting a PE:

    _images/install-test-gui.png

Apple Silicon Mac Installation

The recommended method for running the Cerebras SDK on an Apple Silicon Mac is via a Lima Linux virtual machine. The documentation for Lima can be found here.

Warning

Running the Cerebras SDK on an Apple Silicon Mac or other ARM machine requires x86 emulation. Performance will be sluggish, and emulation bugs are possible.

First, install Lima and the QEMU emulator via brew:

$ brew install lima qemu

Next, create a Lima x86 virtual machine with Singularity or Apptainer installed. The following config.yml is provided as an example, with your Mac’s home directory and /tmp/lima mounted as writeable directories:

images:
- location: "https://cloud-images.ubuntu.com/releases/22.04/release-20231130/ubuntu-22.04-server-cloudimg-amd64.img"
  arch: "x86_64"
  digest: "sha256:7edc2eccf1e34df23d9561b721b6fed381c3b6e8c916c91c71bbce7b8488b496"

arch: "x86_64"

# max/base mean the maximum/minimum features supported by the host system
cpuType:
  x86_64: "max"

ssh:
  loadDotSSHPubKeys: false

mounts:
- location: "~"
  writable: true
- location: "/tmp/lima"
  writable: true

containerd:
  system: false
  user: false


provision:
- mode: system
  script: |
    #!/bin/bash
    set -eux -o pipefail
    export DEBIAN_FRONTEND=noninteractive
    apt install -y squashfs-tools-ng
    wget https://github.com/sylabs/singularity/releases/download/v4.0.2/singularity-ce_4.0.2-jammy_amd64.deb
    apt install -y ./singularity-ce_4.0.2-jammy_amd64.deb

probes:
- script: |
    #!/bin/bash
    set -eux -o pipefail
    if ! timeout 30s bash -c "until command -v singularity >/dev/null 2>&1; do sleep 3; done"; then
      echo >&2 "singularity is not installed yet"
      exit 1
    fi
  hint: See "/var/log/cloud-init-output.log" in the guest

message: |
  To run `singularity` inside your lima VM:
    $ limactl shell {{.Name}} singularity run library://alpine

Saving the above contents into a file named config.yml or using your own configuration, create a new Lima virtual machine:

# Create a VM named cs_sdk
$ limactl start ./config.yml --name cs_sdk

Now, untar the Cerebras SDK tarball at any location under your Mac’s home directory. We can now start a shell inside the VM, add the SDK to the PATH, and run:

# Start shell inside VM
$ limactl shell cs_sdk

# Add absolute path under Mac home directory containing SDK to PATH
# This MUST be absolute path; homedir on VM and Mac are not the same
$ export PATH=/User/path/to/sdk:$PATH

From this point, you can run the SDK examples within the VM. Lima VMs automatically port forward, so if you launch the SDK GUI within the VM, you can view it in your Mac’s browser at 127.0.0.1:8000/sdk-gui.

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