This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.
Participants should be familiar with programming and how to use Great Lakes computing cluster. C/C++ examples will be provided to try on the Great Lakes GPU nodes.
To register and view more details, please refer to the linked TTC page.
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.
To register and view more details, please refer to the linked TTC page.
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.
This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files.
To register and view more details, please refer to the linked TTC page
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.
To register and view more details, please refer to the linked TTC page.
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.
This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.
Participants should be familiar with programming and how to use Great Lakes computing cluster. C/C++ examples will be provided to try on the Great Lakes GPU nodes.
To register and view more details, please refer to the linked TTC page.
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.
To register and view more details, please refer to the linked TTC page.
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.
This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files.
To register and view more details, please refer to the linked TTC page
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