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June,2024
18 Jun 9:00 am 12:00 pm

CO Summer School S1: GPU programming: CUDA (day 2, morning session)

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. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual
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18 Jun 9:00 am 12:00 pm

CO Summer School S1: Multicore parallel programming (OpenMP) (morning session)

This is an introduction to the intermediate level OpenMP hand-on course. OpenMP is a standard parallel programming API that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran. This one-day course will cover the principles of OpenMP compiler directives, library routines, and environment variables with step-by-step hand-on examples. Case studies include various approaches for loop parallelism. We will also talk about the Task constructs for irregular programs, and the Target constructs for accelerators such as GPU. Participants will have hand-on programming experience with OpenMP as well as how to compile and run Multi-thread OpenMP code on different alliance clusters. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on (Hands-on portion is CPU only.) Prerequisites: Basic knowledge of C, C++, or Fortran (part of the 2024 Compute Ontario Summer School) Virtual
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18 Jun 1:30 pm 4:30 pm

CO Summer School S1: GPU programming: CUDA (day 2, afternoon session)

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. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual
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18 Jun 1:30 pm 4:30 pm

CO Summer School S2: Modern C++ Parallel Programming (day 1, afternoon session)

Modern C++ is an efficient, versatile programming language. This workshop will focus on the following in both sequential and parallel contexts: using pseudo-random number generators, making use of reduction options using underlying sequential code, making simple use of in-situ code benchmarking/profiling, and, using mdspan for accessing multi-dimensional arrays and multi-dimensional array slices (submdspan). By the end of these sessions, one will have learnt about sequential and parallel uses of: C++ pseudo-random number generators and their use, C++ std::reduce(), std::transform_reduce(), etc. and C++ parallel algorithms and some of their uses and caveats, using std::chrono facilities, e.g., for in-situ benchmarks, and, how to use multi-dimensional arrays and slices in C++ code. Level: Intermediate Length: Four 3-Hour Sessions (2 Days) Format: Lecture + Hands-on Prerequisites: Experience developing sequential code in C++. (The C++ programming language is not the C programming language. Experience is expected programming in C++, e.g., using the standard library's containers, iterators, and algorithms.) (part of the 2024 Compute Ontario Summer School) Virtual
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19 Jun 9:00 am 12:00 pm

CO Summer School S1: GPU programming: CUDA (day 3, morning session)

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. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual
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19 Jun 9:00 am 12:00 pm

CO Summer School S2: Scientific visualization (morning session)

During this workshop, we will learn about matplotlib which is a popular Python library that is great for 2D visualizations, and ParaView, a free and open-source visualization tool for creating 3D visualizations of your datasets. In this interactive workshop you will get familiar with how ParaView works and at the end you should be able to generate basic visualizations of the demo data. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
19 Jun 1:30 pm 4:30 pm

CO Summer School S2: Scientific visualization (afternoon session)

During this workshop, we will learn about matplotlib which is a popular Python library that is great for 2D visualizations, and ParaView, a free and open-source visualization tool for creating 3D visualizations of your datasets. In this interactive workshop you will get familiar with how ParaView works and at the end you should be able to generate basic visualizations of the demo data. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
19 Jun 1:30 pm 4:30 pm

CO Summer School S1: GPU programming: CUDA (day 3, afternoon session)

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. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map