69传媒

Apache Spark is a user-friendly open-source platform for large-scale data processing, analytics, and parallel computing. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. With hands-on guided examples, the workshop covers the basics of Spark and Resilient Distributed Datasets (RDD) high-level architecture. The examples are mainly written in Python, hence the APIs covered are the ones available in PySpark, including Spark Core API (RDD API), Spark SQL, and Pandas on Spark.

The national high-performance computing (HPC) systems use a job scheduler called 鈥淪lurm.鈥� In this session, you will learn how Slurm works and how it allocates jobs, helping you to minimize wait time by framing reasonable requests; ask for only the resources you need to improve efficiency; increase throughput; run more jobs simultaneously; and troubleshoot and address crashes. This workshop is designed for new HPC users or experienced users either transitioning to Slurm or seeking to improve efficiency with the scheduler.

Shell scripting helps you save time, automate file management tasks, and better use the power of Linux. You鈥檒l learn how to use the command line to carry out repetitive tasks, extract information from files quickly, combine commands in powerful ways, learn about job scripts, shell variables and looping commands, and capture a workflow so you can re-use it easily. Save time, reduce errors, and use Linux more effectively.

Linux is the terminal interface that enables you to use the ACENET and the Digital Research Alliance of Canada (the Alliance) high performance computing clusters from your desktop. It's the tool you need to get your data on the clusters, run your programs, and get your data back. In this session, learn how to get started with Linux, how to create and navigate directories for your data, load files, manage your storage, run programs on the computing clusters, and set file permissions. This workshop is designed for those with no prior experience in working with a terminal interface.

UPEI鈥檚 Faculty of Business will host the following online information sessions for those interested in its MBA in Global Leadership program:

• Tuesday, January 23, 6:00 pm EST
• Tuesday, February 27, 6:00 pm EST
• Tuesday, March 19, 6:00 pm EDT
• Tuesday, April 30, 6:00 pm EDT

Each session will offer attendees the opportunity to learn more about the program and application process, have any questions answered, and meet with staff from the Faculty of Business. Registration is required.

UPEI鈥檚 Faculty of Business will host the following online information sessions for those interested in its MBA in Global Leadership program:

• Tuesday, January 23, 6:00 pm EST
• Tuesday, February 27, 6:00 pm EST
• Tuesday, March 19, 6:00 pm EDT
• Tuesday, April 30, 6:00 pm EDT

Each session will offer attendees the opportunity to learn more about the program and application process, have any questions answered, and meet with staff from the Faculty of Business. Registration is required.

UPEI鈥檚 Faculty of Business will host the following online information sessions for those interested in its MBA in Global Leadership program:

• Tuesday, January 23, 6:00 pm EST
• Tuesday, February 27, 6:00 pm EST
• Tuesday, March 19, 6:00 pm EDT
• Tuesday, April 30, 6:00 pm EDT

Each session will offer attendees the opportunity to learn more about the program and application process, have any questions answered, and meet with staff from the Faculty of Business. Registration is required.

UPEI鈥檚 Faculty of Business will host the following online information sessions for those interested in its MBA in Global Leadership program:

• Tuesday, January 23, 6:00 pm EST
• Tuesday, February 27, 6:00 pm EST
• Tuesday, March 19, 6:00 pm EDT
• Tuesday, April 30, 6:00 pm EDT

Each session will offer attendees the opportunity to learn more about the program and application process, have any questions answered, and meet with staff from the Faculty of Business. Registration is required.

What is High Performance Computing (HPC) and what can it do for me? How can ACENET help? Used by researchers across many disciplines to tackle analyses too large or complex for a desktop, or to achieve improved efficiency over a desktop, this session takes participants through the preliminary stages of learning about high-performance computing and computing clusters, and how to get started with this type of computing. Software packages available for applications, data analysis, software development, and compiling code will be reviewed.