Introduction to Research Computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

To register and view more details, please refer to the linked TTC page.

Advanced research computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, R, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Great Lakes user login, you don’t need to do anything.  Otherwise, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ .

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need VPN software to access the U-M network.  If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

  • Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.
  • Download PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files,”, then execute the application.  You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded.

 

Please register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-10/register/

Introduction to Research Computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders.  Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Great Lakes user login, you don’t need to do anything.  Otherwise, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need VPN software to access the U-M network on which Great Lakes is located.  If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions.  Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.
Download PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files,”, then execute the application.  You do not need administrative authority over your computer to use this software.
Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.  Please note this session will be recorded.

 

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu

Please register at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-8/register/

Advanced research computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, R, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Great Lakes user login, you don’t need to do anything.  Otherwise, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ .

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need VPN software to access the U-M network.  If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

  • Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.
  • Download PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files,”, then execute the application.  You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded.

 

Please register at https://ttc.iss.lsa.umich.edu/ttc/sessions/advanced-research-computing-on-the-great-lakes-cluster-9/register/

Introduction to Research Computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will introduce you to high performance computing on the Great Lakes cluster.  After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the results of submitted jobs. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Additional tools including high-performance data transfer services and interactive use of the cluster will also be covered.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be obtained from the ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, and be able to create and remove files and folders.  Some exposure to shell input and output redirection and pipes would also be useful.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Great Lakes user login, you don’t need to do anything.  Otherwise, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need VPN software to access the U-M network on which Great Lakes is located.  If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions.  Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.
Download PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files,”, then execute the application.  You do not need administrative authority over your computer to use this software.
Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.  Please note this session will be recorded.

 

If you have questions about this workshop, please send an email to the instructors at hpc-course@umich.edu

Please register at https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-research-computing-on-the-great-lakes-cluster-6/register/

Advanced research computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, R, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Great Lakes user login, you don’t need to do anything.  Otherwise, go to the Great Lakes user login application page at: http://arc-ts.umich.edu/login-request/ .

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need VPN software to access the U-M network.  If you do not have VPN software already installed, please download and install the Cisco AnyConnect VPN software following these instructions.  You will need VPN to be able to use the ssh client to connect to Great Lakes. Please use the ‘Campus All traffic’ profile in the Cisco client.

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

  • Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.  This document describes how to download and use this software, except please note you will be connecting to greatlakes.arc-ts.umich.edu instead of the cited host.  You must have administrative authority over your computer to install this software.
  • Download PuTTY directly from the developer. Download the putty.exe application listed under “Alternative binary files,”, then execute the application.  You do not need administrative authority over your computer to use this software.

Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.Please note this session will be recorded.

Advanced research computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, R, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN

If you already have a Flux user login, you don’t need to do anything.  Otherwise, go to the Flux user login application page at: http://arc-ts.umich.edu/login-request/ .

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.

Research computing on the Great Lakes Cluster

By |

OVERVIEW

This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS
Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a member of the LSA Technology Services Research team at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

Mark Champe
Research Computing Services
LSA Technology Services

MATERIALS
Lecture notes
Great Lakes HPC cluster

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you don’t already have a Great Lakes user login, please visit the application page.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You will need an ssh client to connect to the Great Lakes cluster. Mac OS X and Linux platforms have this built-in. Here are a couple of choices for Windows platforms:

Download and install U-M PuTTY/WinSCP from the Compute at the U website. This includes both the PuTTY ssh client and terminal emulator and a graphical file transfer tool in one installer.
Download and install PuTTY directly from the developer.Our Great Lakes User Guide in Section 1.2 describes in more detail how to use PuTTY to connect to Great Lakes.
Please prepare and test your computer’s ability to make remote connections before class; we cannot stop to debug connection issues during the class.

A Zoom link will be provided to the participants the day before the class. Registration is required.

Research Computing on the Great Lakes Cluster

By |

OVERVIEW
This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created a submission script, submitted a job, tracked its progress, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories.

PRE-REQUISITES
This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS
Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

Mark Champe
Research Computing Services
LSA Technology Services

MATERIALS
Lecture notes
Great Lakes HPC cluster

COURSE PREPARATION
In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.

USER LOGIN
If you don’t already have a Great Lakes user login, please visit the application page.

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.

SLURM ACCOUNT
We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION
Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION
You do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers, which require your uniqname and UMICH (AKA Level 1) password to login, and that have all necessary software pre-loaded.

If you want to use a laptop for the course, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However, if there are problems connecting your laptop, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.

Advanced research computing on the Great Lakes cluster

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OVERVIEW

This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, R, and MATLAB; and profiling of parallel code using Allinea Performance Reports and Allinea MAP.

PRE-REQUISITES

This course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular, participants should understand how files and folders work, be able to create text files using the nano editor, be able to create and remove files and folders, and understand what input and output redirection are and how to use them.

INSTRUCTORS

Dr. Charles J Antonelli
Research Computing Services
LSA Technology Services

Charles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan, where he is responsible for high performance computing support and education, and was an Advocate to the Departments of History and Communications. Prior to this, he built a parallel data ingestion component of a novel earth science data assimilation system, a secure packet vault, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems, distributed file systems, C++ programming, security, and database application design.

John Thiels
Research Computing Services
LSA Technology Services

MATERIALS

COURSE PREPARATION

In order to participate successfully in the workshop exercises, you must have a user login, a Slurm account, and be enrolled in Duo. The user login allows you to log in to the cluster, create, compile, and test applications, and prepare jobs for submission. The Slurm account allows you to submit those jobs, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster.


USER LOGIN

If you already have a Flux user login, you don’t need to do anything.  Otherwise, go to the Flux user login application page at: https://arc-ts.umich.edu/fluxform/ .

Please note that obtaining a user account requires human processing, so be sure to do this at least two business days before class begins.


SLURM ACCOUNT

We create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account, you can use that, though if there are any issues with that account, we will ask you to use the workshop account.

DUO AUTHENTICATION

Duo two-factor authentication is required to log in to the cluster. When logging in, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes.

If you need to enroll in Duo, follow the instructions at Enroll a Smartphone or Tablet in Duo.

Please enroll in Duo before you come to class.

LAPTOP PREPARATION

You do not need to bring your own laptop to class. The classroom contains Windows or Mac computers, which require your uniqname and UMICH (AKA Level 1) password to login, and that have all necessary software pre-loaded.

If you want to use a laptop for the course, you are welcome to do so:  please see our web page on Preparing your laptop to use Flux. However, if there are problems connecting your laptop, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.

If you are unable to attend the presentation in person we will be offering a link into the live course via BlueJeans. Please register as if attending in person.  This will put you on the wait list but we will get your account setup for remote attendance.