HPC133

Introduction to GPU programming
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Courses tagged with "HPC133"

HPC133 Intro to GPU Programming (Feb 2024)

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.

Format: Virtual

Teacher: Yohai Meiron
Category: High Performance Computing
Start date: 26 Feb. 2024
End date: 1 Mar. 2024
High Performance Computing Credits: 6

HPC133 Intro to GPU Programming with CUDA (Nov. 2019)

The goal is for students, new to GPGPU but familiar with programming in C/C++, to leave being able to write simple kernels for their own problems, and understand the tools and techniques needed to improve the results.
Teacher: Scott Northrup
Category: High Performance Computing
Date: Mon., 25 Nov. 2019 - 1:00 pm

HPC133 Introduction to GPGPU Programming with CUDA (Apr. 2015)

The goal is for students, new to GPGPU but familiar with programming in C, to leave being able to write simple kernels for their own problems, and understand the tools and techniques needed to improve the results.
Teacher: SciNet Team
Category: High Performance Computing
Date: Tue., 14 Apr. 2015 - 10:00 am

HPC133 Introduction to GPGPU Programming with CUDA (May 2016)

The goal is for students, new to GPGPU but familiar with programming in C, to leave being able to write simple kernels for their own problems, and understand the tools and techniques needed to improve the results.
Teacher: SciNet Team
Category: High Performance Computing
Date: Wed., 18 May 2016 - 1:00 pm

HPC133 Introduction to GPGPU with CUDA (Aug. 2011)

The last few years have seen an explosion in interest for using graphics cards (graphics processing units, or GPUs) for general-purpose scientific computation
Teacher: SciNet Team
Category: High Performance Computing
Date: Mon., 22 Aug. 2011 - 9:00 am

HPC133 Introduction to GPGPU with CUDA (Dec. 2011)

The last few years have seen an explosion in interest for using graphics cards (graphics processing units, or GPUs) for general-purpose scientific computation
Teacher: SciNet Team
Category: High Performance Computing
Date: Thu., 15 Dec. 2011 - 9:00 am

HPC133 Introduction to GPGPU with CUDA (Ontario Summer School, June 2014)

Part of the 2014 Ontario Summer School on High Performance Computing
Teacher: SciNet Team
Category: High Performance Computing
Start date: 11 Jun. 2014
End date: 12 Jun. 2014

HPC133 Introduction to GPGPU with CUDA (Ontario Summer School, May 2013)

Part of the Ontario Summer School on High Performance Computing 2013 -Toronto
Teacher: SciNet Team
Category: High Performance Computing
Start date: 8 May 2013
End date: 9 May 2013

HPC133 Introduction to GPU Programming (Apr 2022)

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.
Teacher: Yohai Meiron
Category: High Performance Computing
Start date: 4 Apr. 2022
End date: 15 Apr. 2022
High Performance Computing Credits: 6

HPC133 Introduction to GPU Programming (Feb 2023)

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.

Format: In person, but also broadcast.

Teacher: Yohai Meiron
Category: High Performance Computing
Start date: 21 Feb. 2023
End date: 24 Feb. 2023
High Performance Computing Credits: 6

HPC133 Introduction to GPU Programming (Nov 2021)

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Prior knowledge of programming (in any language) is recommended to be able to follow the exercise part of the workshop.
Teacher: Yohai Meiron
Category: High Performance Computing
Date: Wed., 24 Nov. 2021 - 12:00 am
High Performance Computing Credits: 3

HPC133 Programming GPUs with CUDA (Ontario Summer School, July 2015)

This two-day session is an introductory course covering programming and computing on GPUs---graphics processing units---which are an increasingly common presence in massively parallel computing architectures.
Teacher: SciNet Team
Category: High Performance Computing
Start date: 15 Jul. 2015
End date: 16 Jul. 2015

HPC133 Programming GPUs with CUDA (Ontario Summer School, July 2016)

Part of the 2016 Ontario Summer School, this two-day session is an introductory course covering programming and computing on GPUs - graphics processing units - which are an increasingly common presence in massively parallel computing architectures. This session will cover both of the available C-like programming frameworks: NVIDIAs CUDA C. The basics of GPU programming will be covered, and students will work through a number of hands on examples. Demonstrations of profiling and debugging applications running on the GPU will also be included. The structuring of data and computations that makes full use of the GPU will be discussed in detail. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications.
Teacher: SciNet Team
Category: High Performance Computing
Start date: 14 Jul. 2016
End date: 15 Jul. 2016

HPC133 Programming GPUs with CUDA (Ontario Summer School, July 2017)

Part of the 2017 Ontario Summer School.
Teacher: SciNet Team
Category: High Performance Computing
Start date: 27 Jul. 2017
End date: 28 Jul. 2017

HPC133 Programming GPUs with CUDA (Ontario Summer School, June 2018)

This is an introductory course covering programming and computing on GPUs --- graphics processing units --- which are an increasingly common presence in massively parallel computing architectures. The basics of GPU programming will be covered, and students will work through a number of hands on examples. The structuring of data and computations that makes full use of the GPU will be discussed in detail. This year the course will expand to cover the new features available on the GPUs installed on the Graham supercomputer at the University of Waterloo. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications.
Teacher: Sharcnet Team
Category: High Performance Computing
Start date: 13 Jun. 2018
End date: 14 Jun. 2018

HPC133 Programming GPUs with CUDA (Ontario Summer School, June 2019)

This is an introductory course covering programming and computing on GPUs (graphics processing unit) which are an increasingly common presence in massively parallel computing architectures. The basics of GPU programming will be covered, and students will work through a number of hands on examples. The structuring of data and computations that makes full use of the GPU will be discussed in detail. This year the course will expand to cover the new features available on the GPUs installed on the Graham supercomputer at the University of Waterloo. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. -- Prerequisites: C/C++ scientific programming, experience editing and compiling code in a Linux environment. Some experience with CUDA and/or OpenMP a plus.
Teacher: SciNet Team
Category: High Performance Computing
Start date: 26 Jun. 2019
End date: 27 Jun. 2019
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