Difference between revisions of "General Interest Seminars"

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This is a page organizing/archiving general interest seminars (became a part of Compute Ontario Colloquia weekly series starting January 2023).
This is a page organizing/archiving general interest seminars (became a part of Compute Ontario Colloquia weekly series starting January 2023).


== Round 1 ==
== Round 1 (Starting May 2011) ==


{| border="1" style="background:#fbfffa; text-align: left;"
{| border="1" style="background:#fbfffa; text-align: left;"
Line 554: Line 554:
|Tyler ||[[colloquium 2023 Modern Approaches to Profiling in Python with Scalene|Modern Approaches to Profiling in Python with Scalene]] || 2023/5/3 || 29 ||
|Tyler ||[[colloquium 2023 Modern Approaches to Profiling in Python with Scalene|Modern Approaches to Profiling in Python with Scalene]] || 2023/5/3 || 29 ||
|-
|-
|Weiguang ||[[colloquium 2023 Contrastive learning|Contrastive learning]] || 2023/5/17 || 63 ||
|Weiguang ||[[colloquium 2023 Contrastive learning|Contrastive learning]] || 2023/5/17 || '''63''' ||
|-
|-
|Paul || CANCELED [[colloquium 2023 C++ Parallel Algorithms and Multidimensional Arrays|C++ Parallel Algorithms and Multidimensional Arrays]]  || 2023/5/31 || ||
|Paul || CANCELED   || 2023/5/31 || ||
|-
|-
|Doug || CANCELED || 2023/6/14 ||  ||
|Doug || CANCELED || 2023/6/14 ||  ||
Line 562: Line 562:
|Sergey || CANCELED || 2023/6/28 ||  ||
|Sergey || CANCELED || 2023/6/28 ||  ||
|-
|-
|Ed || [[colloquium 2023 Leveraging the power of Linux on Windows with WSL|Leveraging the power of Linux on Windows with WSL]]|| 2023/7/12 || ||
|Ed || [[colloquium 2023 Leveraging the power of Linux on Windows with WSL|Leveraging the power of Linux on Windows with WSL]]|| 2023/7/12 || 40 ||
|-
|-
|Mark ||[[colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint|DIY job monitoring, from cache misses to CO2 footprint]] || 2023/7/26 || ||
|Mark ||[[colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint|DIY job monitoring, from cache misses to CO2 footprint]] || 2023/7/26 || 16 ||
|-
|-
|Pawel ||[[colloquium 2023 Automating scientific workflows with AiiDA|Automating scientific workflows with AiiDA]] || 2023/8/9 || ||
|Pawel ||[[colloquium 2023 Automating scientific workflows with AiiDA|Automating scientific workflows with AiiDA]] || 2023/8/9 || 33 ||
|-
|-
|Baolai || [[Colloquium 2023 Parallel computing: start from your own computer|Parallel computing: start from your own computer]] || 2023/8/23 ||  ||
|Baolai || CANCELED || 2023/8/23 ||  ||
|-
|-
|Paul || || 2023/9/6 ||  ||
|Paul || CANCELED || 2023/9/6 ||  ||
|-
|-
|Tyson || || 2023/9/20 || ||
|Tyson || [[Colloquium 2023 Data Wrangling with Tidyverse|Data Wrangling with Tidyverse]]|| 2023/9/20 || 27 ||
|-
|-
|James || || 2023/10/4 || ||
|James ||[[Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view| Exploring job wait times on Alliance compute clusters: a holistic view]] || 2023/10/4 || 27 ||
|-
|-
|Armin || || 2023/10/18 || ||
|Armin ||[[Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses|p2rng – A C++ Parallel Random Number Generator Library for the Masses]] || 2023/10/18 || 7 ||
|-
|-
|Tyler || || 2023/11/1 || ||
|Tyler ||[[Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster| Generalized End to End Python and Neuroscience Workflows on a Compute Cluster]] || 2023/11/1 || 17 ||
|-
|-
|Weiguang || || 2023/11/15 || ||
|Weiguang ||[[Colloquium 2023 Squeeze more juice out of a single GPU in deep learning| Squeeze more juice out of a single GPU in deep learning]] || 2023/11/15 || 54 ||
|-
|-
|Collin || || 2023/11/29 || ||
|Collin ||[[Colloquium 2023 Skorch: Training PyTorch models with scikit-learn|Skorch: Training PyTorch models with scikit-learn]] || 2023/11/29 || 34 ||
|-
|-
|Doug || || 2023/12/13 ||  ||
|Doug || CANCELED || 2023/12/13 ||  ||
|-
|-
|Paul || || 2023/1/17 || ||
|Paul ||[[Colloquium 2024 False Sharing and Contention in Parallel Codes|False Sharing and Contention in Parallel Codes]] || 2024/1/17 || 17 ||
|-
|-
|Jemmy || || 2024/1/31 || ||
|Jemmy ||[[Colloquium 2024 Introduction to GPU programming with OpenMP|Introduction to GPU programming with OpenMP]]|| 2024/1/31 || 30 ||
|-
|-
|Ed || || 2024/2/14 || ||
|Ed ||[[Colloquium 2024 MySQL Part 3: Constraints and Joins|MySQL Part 3: Constraints and Joins]] || 2024/2/14 || 11 ||
|-
|-
|Sergey || || 2024/2/28 || ||
|Sergey ||[[Colloquium 2024 Debugging your code with DDT|Debugging your code with DDT]] || 2024/2/28 || 20 ||
|-
|-
|Mark || || 2024/3/13 || ||
|Mark ||[[Colloquium 2024 Make: obsolete or elegant?|Make: obsolete or elegant?]] || 2024/3/13 || 16 ||
|-
|-
|Jinhui || || 2024/3/27 || ||
|Jinhui || [[Colloquium 2024 Accelerating Graph Analysis on GPUs|Accelerating Graph Analysis on GPUs]]|| 2024/3/27 || 25 ||
|-
|-
|Nastaran || || 2024/4/10 || ||
|Nastaran || [[Colloquium 2024 Accelerating data analytics with RAPIDS cuDF|Accelerating data analytics with RAPIDS cuDF]]|| 2024/4/10 || 17 ||
|-
|-
|Tyson || || 2024/4/24 || ||
|Tyson ||[[Colloquium 2024 Data Wrangling with Tidyverse (part 2)|Data Wrangling with Tidyverse (part 2)]] || 2024/4/24 || 4 ||
|-
|-
|Pawel || || 2024/5/8 ||  ||
|Pawel || [[Colloquium 2024 Compute Ontario Summer School 2024|Compute Ontario Summer School 2024]] || 2024/5/8 || 25 ||
|}
 
== Round 12 (Starting July 2024) ==
{| border="1" style="background:#fbfffa; text-align: left;"
|- style="background:#9aff88;border-bottom: 3px solid grey;" align="left";
! Presenter !! Topic(s) !! Date !! Att
|-
|James ||[[Colloquium 2024 Exploring Compute Usage from User Facing Portals on the National Clusters|Exploring Compute Usage from User Facing Portals on the National Clusters]] || 2024/7/17 || 13 ||
|-
|Armin ||[[Colloquium 2024 The Emergence of WebAssembly (Wasm) in Scientific Computing|The Emergence of WebAssembly (Wasm) in Scientific Computing]] || 2024/8/7 || 12 ||
|-
|Tyler ||[[Colloquium 2024 Diagnosing Wasted Resources from User Facing Portals on the National Clusters|Diagnosing Wasted Resources from User Facing Portals on the National Clusters]] || 2024/8/14 || 21 ||
|-
|Weiguang || [[Colloquium 2024 Using machine learning to predict rare events|Using machine learning to predict rare events]]|| 2024/8/28 || '''51''' ||
|-
|Collin ||[[Colloquium 2024 Debugging and Optimization of PyTorch Models|Debugging and Optimization of PyTorch Models]] || 2024/9/11 || 42 ||
|-
|Paul ||[[Colloquium 2024 Multidimensional Arrays in C++|Multidimensional Arrays in C++]] || 2024/9/25 || 13 ||
|-
|Mark ||[[Colloquium 2024 Introspection for Jobs: in-job monitoring of performance|Introspection for Jobs: in-job monitoring of performance]] || 2024/10/9 || 18 ||
|-
|Jemmy ||[[Colloquium 2024 Parallel Programming: MPI I/O Basics|Parallel Programming: MPI I/O Basics]] || 2024/10/23 || 12 ||
|-
|Ed ||[[Colloquium 2024 Git Part 3: Managing Workflows|Git Part 3: Managing Workflows]] || 2024/11/6 || 10 ||
|-
|Sergey ||[[Colloquium 2024 Survival guide for the upcoming GPU upgrades (more total power, but fewer GPUs)|Survival guide for the upcoming GPU upgrades (more total power, but fewer GPUs)]]  || 2024/11/20 || 30 ||
|-
|Tyson ||[[Colloquium 2024 Data Wrangling with Tidyverse (part 3)|Data Wrangling with Tidyverse (part 3)]] || 2024/12/4 || 6 ||
|-
|Nast ||[[Colloquium 2024 Unlocking the Power of Comet: Streamlining Machine Learning Experimentation|Unlocking the Power of Comet: Streamlining Machine Learning Experimentation]] || 2024/12/18 || 9 ||
|-
|Jinhui ||Canceled || 2025/1/15 ||  ||
|-
|Pawel ||[[Colloquium 2025 Converting Python code with NumPy to run on the GPU|Converting Python code with NumPy to run on the GPU]] || 2025/1/29 || 30 ||
|-
|Armin ||[[Colloquium 2025 High-Performance Data Science with Modern C++: Xeus-Cling and G3P|High-Performance Data Science with Modern C++: Xeus-Cling and G3P]] || 2025/2/12 || 9 ||
|-
|Baolai ||[[Colloquium 2025 Reduction of errors, or the pursuit of correctness|Reduction of errors, or the pursuit of correctness]] || 2025/2/26 || 20 ||
|-
|James ||[[Colloquium 2025 Preview of the "Job Scheduling and Monitoring" self-paced course|Preview of the "Job Scheduling and Monitoring" self-paced course]] || 2025/3/12 || 4 ||
|-
|Tyler ||[[Colloquium 2025 Revisiting Cython: Is it still effective?|Revisiting Cython: Is it still effective?]] || 2025/3/26 || 14 ||
|-
|Collin ||[[Colloquium 2025 Too Big to Train: Large model training in PyTorch with Fully Sharded Data Parallel|Too Big to Train: Large model training in PyTorch with Fully Sharded Data Parallel]] || 2025/4/9 || 23 ||
|-
|Jemmy ||[[Colloquium 2025 Parallel Programming: MPI I/O Advanced Features|Parallel Programming: MPI I/O Advanced Features]] || 2025/4/23 || 10 ||
|-
|Weiguang ||[[Colloquium 2025 Checkpoints: why, when and how|Checkpoints: why, when and how]] || 2025/5/7 || 14 ||
|-
|Mark ||CANCELED || 2025/5/21 ||  ||
|-
|Paul ||[[Webinar 2025 Practical Multidimensional Arrays and Linear Algebra in C++|Practical Multidimensional Arrays and Linear Algebra in C++]] || 2025/7/2 || 10 ||
|-
|-
|Baolai || || 2024/5/22 || ||
|Ed ||[[Webinar 2025 Effortless Parallelism: Leveraging Julia Threads for High-Performance Scientific Computing|Effortless Parallelism: Leveraging Julia Threads for High-Performance Scientific Computing]] || 2025/7/16 || 18 ||
|-
|Sergey ||[[Webinar 2025 Migrating to the upgraded national systems|Migrating to the upgraded national systems]] || 2025/7/30 || 143 ||
|-
|Nast ||[[Webinar 2025 Interactive Interfaces for Machine Learning Using Gradio|Interactive Interfaces for Machine Learning Using Gradio]]  || 2025/8/13 || 21 ||
|-
|Tyson ||[[Webinar 2025 The Nibi's web interface|The Nibi's web interface]] || 2025/8/27 || 49 ||
|-
|Pawel ||[[Webinar 2025 Installing your software packages with Spack|Installing your software packages with Spack]] || 2025/9/10 || 24 ||
|-
|Jinhui ||[[Webinar 2025 Running JupyterLab on Nibi|Running JupyterLab on Nibi]] || 2025/9/24 || 34 ||
|-
|Baolai ||[[Webinar 2025 Running Linux on Windows and taking it with you anywhere|Running Linux on Windows and taking it with you anywhere]] || 2025/10/8 || 17 ||
|}
|}


== Round 13 (Starting October 2025) ==
Entries with the asterisk next to the name are delivered as a CO colloquium. The entries without the asterisk will be delivered as a GIS, shifted by one hour (1-2pm).
{| border="1" style="background:#fbfffa; text-align: left;"
|- style="background:#9aff88;border-bottom: 3px solid grey;" align="left";
! Presenter !! Topic(s) !! Date !! Att
|-
|James ||[[Webinar 2025 What exactly is a Resource Allocation Competition (RAC) Compute Award?|What exactly is a Resource Allocation Competition (RAC) Compute Award?]] || 2025/10/22 || 10 ||
|-
|Doug ||[[Webinar 2025 Running Engineering Related Packages Interactively on Nibi|Running Engineering Related Packages Interactively on Nibi]] || 2025/11/5 || 9 ||
|-
|Armin ||[[Webinar 2025 High-Performance Data Science with Modern C++: Ranx|High-Performance Data Science with Modern C++: Ranx]] || 2025/11/19 || 2 ||
|-
|Tyler ||[[Webinar 2025 Serial Farms: Package options and when to switch to farming|Serial Farms: Package options and when to switch to farming]] || 2025/12/3 || 7 ||
|-
|Weiguang* ||[[Webinar 2025 Illuminating the Black Box: Understanding AI Models with Integrated Gradients|Illuminating the Black Box: Understanding AI Models with Integrated Gradients]] || 2025/12/17 ||  ||
|-
|Paul || || 2026/1/14 ||  ||
|-
|Collin* || || 2026/1/28 ||  ||
|-
|Jemmy || || 2026/2/11 ||  ||
|-
|Ed* || || 2026/2/25 ||  ||
|-
|Mark || || 2026/3/11 ||  ||
|-
|Jinhui || || 2026/3/25* ||  ||
|-
|Sergey || || 2026/4/8 ||  ||
|-
|Tyson || || 2026/4/22* ||  ||
|-
|Baolai || || 2026/5/6 ||  ||
|-
|Pawel || || 2026/7/15 ||  ||
|-
|Nast || || 2026/7/29 ||  ||
|-
|Doug || || 2026/8/12 ||  ||
|-
|James || || 2026/8/26 ||  ||
|-
|Tyler || || 2026/9/9 ||  ||
|-
|Armin || || 2026/9/23 ||  ||
|-
|Paul || || 2026/10/7 ||  ||
|-
|Weiguang || || 2026/10/21 ||  ||
|-
|Ed || || 2026/11/4 ||  ||
|-
|Collin || || 2026/11/18 ||  ||
|-
|Mark || || 2026/12/2 ||  ||
|-
|Jemmy || || 2026/12/16 ||  ||
|-
|Baolai || || 2027/1/13 ||  ||
|-
|Sergey || || 2027/1/27 ||  ||
|-
|Jinhui || || 2027/2/10 ||  ||
|-
|Tyson || || 2027/2/24 ||  ||
|-
|Pawel || || 2027/3/10 ||  ||
|-
|Nast || || 2027/3/24 ||  ||
|}




[[Category:Reporting]]
[[Category:Reporting]]

Latest revision as of 12:28, 3 December 2025

This is a page organizing/archiving general interest seminars (became a part of Compute Ontario Colloquia weekly series starting January 2023).

Round 1 (Starting May 2011)

Presenter Topic(s) Dates Att
Sergey Serial farming and Monte Carlo for SHARCNET 2011/05/18 15
David Automating Tasks with bash 2011/06/08 8
HughM Debugging at SHARCNET 2011/06/29 11
Isaac Introduction to Linux 2011/07/20 9
Pawel Linear Algebra on GPU 2011/09/21 6
Jemmy MATLAB Parallel Computing Toolbox on SHARCNET 2011/10/12 7
Alex Visualizing Data with Paraview 2011/11/02 9
Baolai Managing your files effectively at SHARCNET with SVN 2011/11/23 6
Tyson Introduction to Valgrind 2012/03/14 0
Nick Optimizing Tools for Development and Execution of Programs 2012/04/04 14

Round 2 (Starting Sept. 2012)

Note: henceforth, there is expected to be a General Interest Seminar every month, on the third Wednesday at noon. Please be responsible about this and plan for your month.

Month Presenter Topic(s) Date Att
SEP Pawel Why Would I Use GPUs? 2012/09/26 12
OCT Tyson Introduction to Valgrind 2012/10/17 5
NOV HughM New User Seminar - Part 2 2012/11/21 15
DEC
JAN Isaac Shell scripting 2013/01/23 18
FEB Jemmy SHARCNET Software Support Updates 2013/02/27 7
MAY Sergey Quick-n-dirty ways to run your serial code faster, in parallel 2013/05/01 15
JUNE David Parallel programming patterns 2013/06/
JUL Alex 2013/07/
AUG Baolai 2013/08/
SEP Nick 2013/09/

Round 3 (Starting Sept. 2013)

Month Presenter Topic(s) Date Att
NOV Isaac Introduction to Linux 2013/11/20 32
DEC Pawel Why Would I Use GPUs? 2013/12/18 22
JAN Alex Using parallel I/O in SHARCNET 2014/01/15 10
FEB Sergey Profiling MPI codes with Allinea's MAP 2014/02/19 10
MAR Baolai Managing your files effectively at SHARCNET with SVN 2014/03/19 8
APR Tyson My code doesn't crash -- why should I still use Valgrind? 2014/04/16 17
MAY Jemmy Running MATLAB in SHARCNET 2014/05/21 34
JUNE Hugh Debugging at SHARCNET 2014/06/18 20
JUL James Transitioning from Matlab to Octave 2014/07/16 ?
AUG 2014/08/20


Round 4 (Starting Sept. 2014)

Note: with the new (biweekly) schedule, full time HPTC will have to give 2 seminars per year. Please make at least one of these two seminars a new one (the other one can be an old recycled one).

Presenter Topic(s) Date Att Reg
Paul Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types 2014/09/17 7 6
Ed An Introduction to Java Threads 2014/10/01 9 8
Isaac CUDA Basics and how to 2014/10/15 20 31
Fei Is the Intel Xeon Phi right for me? 2014/10/29 11 15
Pawel Linear Algebra on GPU 2014/11/12 11 8
Tyson The SHARCNET Desktop 2014/11/26 17 8
Weiguan Programming with VTK - a high-level visualization library 2014/12/10 18 14
James SHARCNet file management 2015/01/07 15 9
Hugh New User Seminar - Part 2 2015/01/21 10 17
Fei Deep Learning on SHARCNET: From CPU to GPU cluster 2015/02/04 40 22
Sergey Serial and parallel farming from A to Z 2015/02/18 30 23
Paul The Relevance of OpenCL to HPC 2015/03/04 15+20 live 12
Ed Programming, best practices 2015/03/18 23 17
Baolai A brief look at numerical libraries: The tools you can use 2015/04/01 8 12
Jemmy An Update on MATLAB at SHARCNET 2015/04/15 7 13
Pawel High Performance Computing with Python 2015/04/29 39 29
Tyson Exploring a new approach to package management 2015/05/14 6 3
[[]] 2015/05/27 canceled
Mark Get the most out of SharcNET 2015/06/10 25 23
Armin Programming with Wt - A C++ library for developing stateful and highly interactive web applications 2015/06/24 7 5
Jemmy Hybrid MPI and OpenMP Parallel Programming 2015/07/08 17 13
Sergey Debugging and profiling of MPI programs [[]] 2015/07/22 15 9
Baolai Parallel programming without MPI - Using coarrays in Fortran 2015/08/05 10 6
Isaac Introduction to Parallel I/O 2015/08/19 18 16

Round 5 (Starting Sept. 2015)

Note: with the new (biweekly) schedule, full time HPTC will have to give 2 seminars per year. Please make at least one of these two seminars a new one (the other one can be an old recycled one).

Presenter Topic(s) Date Att Reg
Weiguang Scientific Visualization with ParaView 2015/9/16 23 15
James Profiling function vectorization in Matlab/Octave 2015/9/30 11 4
Fei CUDA Profiling and Tuning 2015/10/14 18 12
Hugh Fundamentals of working at the command line at SHARCNET 2015/10/28 35 16
Paul Introduction to MPI - Part I 2015/11/11 20 25
Pawel Introduction to MPI - Part II 2015/11/25 10 17
Ed Parallel Design Patterns 2015/12/9 10 15
Armin Automating Software Build Process using CMake 2016/1/6 16 12
Jemmy Introduction to OpenMP Parallel Programming 2016/1/20 5 5
Tyson UNIX shell expansion: proper use and advanced forms 2016/2/3 17 6
Baolai Parallel and high performance computing with R 2016/2/17 24 21
Weiguang Raphaël - a vector graphics library for web development 2016/3/2 6 5
Sergey Debugging OpenMP programs 2016/3/16 1 3
Isaac How to get started with OpenFOAM at SHARCNET 2016/3/30 14 7
James Quick tips for getting the most out of SHARCNET 2016/4/13 17 13
Fei Deep Learning on SHARCNET: Tools you can use 2016/4/27 38 23
Tyson Git and SHARCNET 2016/5/11 14 10
Doug Canceled 2016/5/25
Jose Introduction to Apache Spark on SHARCNET 2016/6/8 15 9
Hugh Canceled 2016/6/22
Ed Canceled 2016/7/6
Jemmy Hybrid MPI and OpenMP Parallel Programming 2016/7/20 7 10
Pawel Introduction to MPI - Part III 2016/8/3 0 2
Paul Introduction to Jupyter 2016/8/17 14 6
Armin Automating Software Build Process using CMake 2016/9/14 6 8
Baolai Introduction to The Unix Shell - Automating Your Work 2016/9/28 23 17
Mark What Happened to My Job? Cluster Scheduling In Detail 2016/10/12 17 11
Isaac Introduction To Python: simple practise of data analysis 2016/10/26 24 30
Sergey Debugging CUDA programs 2016/11/9 3 1
Doug Canceled 2016/11/23 0 0
Ed Defensive Programming : Best Practices 2016/12/7 8 15

Round 6 (Starting January 2017)

Presenter Topic(s) Date Att Reg
Weiguang Introduction to ParaView 2017/1/4 12 13
James Navigating the research computing resource renewals coming in 2017 2017/1/18 11 10
Fei Deep Learning on SHARCNET: Best Practices 2017/2/1 23 24
Tyson Git and SHARCNET (part 2) 2017/2/15 5 13
Jose Machine Learning with Spark at SHARCNET 2017/3/1 12 28
Pawel High Performance Computing with Python 2017/3/15 27 37
Paul CANCELED (speaker not ready) 2017/3/29
Baolai Modern Fortran: Concurrency and Parallelism 2017/4/12 18 22
Armin Automating Software Build Process using CMake – Part II 2017/4/26 2 1
Jemmy OpenMP 4.x: New features and Protocols 2017/5/10 9 3
Isaac How to compile/run OpenFOAM in SHARCNET 2017/5/24 10 7
Ed CANCELED (one attendee) 2017/6/7 1 2
Sergey What's new and exciting about Graham's GPUs 2017/6/21 27 17
Weiguang Train models to recognize hand-written digits using Tensorflow 2017/7/5 24 23
James How jobs are scheduled to run on Graham and Cedar 2017/7/19 55 34
Doug Intel MPI Library Cluster Edition on Graham 2017/8/2 6 2
Tyson Packaging with Nix 2017/8/16 6 4
Kamil Partitions and scheduling, running jobs effectively on Graham and Cedar 2017/9/13 34 24
Fei Training Neural Networks with hundreds of GPUs on Graham and Cedar 2017/9/20 46 36
Mohamed Introduction to SHARCNET Cloud 2017/9/27 19 6
Pawel Linear Algebra on GPU 2017/10/11 20 16
Jose Machine Learning using Jupyter Notebooks on Graham 2017/10/25 36 34
Isaac Introduction to LINUX/SHELL programming in SHARCNET 2017/11/8 31 33
Sergey Serial farming on Graham 2017/11/22 22 17
Baolai Introduction to Eclipse for debugging - Part I 2017/12/6 10 4
Doug Intro to Intel Performance Tools 2018/1/17 8 8
Ed Deploying a Full Stack Web Solution on the Cloud for Cluster Access 2018/1/31 22 12
Paul Singularity 2018/2/14 13 9
Armin Visual Studio Code - Your Next Coding Companion for Advanced Research Computing 2018/2/28 14 12
Mark Using SSH for Good, not Evil 2018/3/14 17 16

Round 7 (Starting March 2018)

Presenter Topic(s) Date Att Reg
Jemmy Using Computational Chemistry software effectively on Graham 2018/3/28 14 4
Pawel Improving your Python programs with NumPy and SciPy 2018/4/11 24 22
James All about job wait times in the Graham queue 2018/4/25 31 22
Tyson Summer School preview 2018/5/9 18 14
Weiguang CANCELED 2018/5/23 0
Jose CANCELED 2018/6/6 0
Isaac Fundamentals of working at the command line at Graham 2018/6/20 30 28
Sergey Debugging on Graham with DDT 2018/7/4 6 7
Paul Mixed Source C, C++, and Fortran Programs 2018/7/18 18 9
Ed Introduction to MySQL on Graham 2018/8/1 15 14
Armin Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL 2018/8/15 7 5
Baolai Concurrent File I/O by Multiple Processes 2018/9/12 13 7
Doug The Benefits of GLOST for Many Jobs 2018/9/26 9 9
James Understand (and potentially reduce) job wait times by examining scheduler configuration, load in the queue and account usage 2018/10/10 23 18
Weiguang Stock Prediction Using Recurrent Neural Network 2018/10/24 33 29
Jemmy Using MATLAB effectively on Graham and Cedar 2018/11/7 33 -
Ed MySQL Part 2: Relations and Joins 2018/11/21 5 -
Paul Using Pseudorandom Number Sequences in C++ 2018/12/5 7 -
Sergey Code profiling on Graham 2018/12/19 26 -
Tyson The Monad Understanding Hurdle 2019/1/16 9 -
Isaac Best practices for newbies on Graham 2019/1/30 35 -
Mark What Happened To My Job? 2019/2/13 15
Armin Dipping into C++17 Parallel Algorithms with Intel's Parallel STL 2019/2/27 14
Doug Exploring the Use of Application Software on Grahams Visualization Machine 2019/3/13 35
Pawel Introduction to parallel programming with MPI and Python 2019/3/27 25 -
Baolai Exploring Octave package dataframe 2019/4/10 2

Round 8 (Starting April 2019)

Presenter Topic(s) Date Att
James PRE and POST production on Graham 2019/4/24 12
Weiguang Pull your own data into ParaView 2019/5/8 31
Jemmy The New Development of OpenMP 2019/5/22 22
Ed Julia - A first perspective 2019/6/5 45
Paul Using C++'s Parallel Algorithms 2019/6/19 14
Sergey CANCELED 2019/7/3 0
Tyson The Monad Understanding Hurdle (Part 2) 2019/7/17 0
Isaac Fundamentals of working at the command line at Graham 2019/7/31 54
Armin Is It Possible to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)? 2019/8/14 8
Doug CANCELED 2019/9/11 0
Pawel Using reduced numerical precision on Pascal, Volta and Turing GPUs 2019/9/25 6
Jinhui Introduction to scalable computing with Dask in Python 2019/10/9 40
Doug Leveraging Compiler Optimization Reports 2019/10/23 5
Weiguang Using Multiple GPUs in Tensorflow 2019/11/6 18
Baolai Julia: A second perspective 2019/11/20 5
Ed Docker 2019/12/4 27
Jemmy Introduction to HPC Programming Language Chapel: Base Language Overview 2019/12/18 10
Tyson The Monad Understanding Hurdle (Part 3) 2020/1/15 2
Paul Singularity 3.5 2020/1/29 27
Sergey New User Seminar, Part II 2020/2/12 23
Isaac How to Run AI programs in Graham 2020/2/26 44
Baolai Julia: A third perspective - parallel computing explained 2020/3/11 18
Jinhui Introduction to scalable computing with Dask in Python (Continued) 2020/3/25 15
Mark Using SSHFS to make CC storage more accessible 2020/4/8 21
Pawel Collaborative Groups in CUDA 2020/4/22 2
Doug CANCELED 2020/5/6
Armin CANCELED 2020/5/20

Round 9 (Starting July 2020)

Presenter Topic(s) Date Att
Tyler Cython: A First Look 2020/7/8 60
James Visualizing job usage on the Compute Canada systems with the ViewClust Python package 2020/7/15 33
Armin How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI) 2020/7/29 15
Sergio Bioinformatics in the terminal: Tips and tricks to make your life easier 2020/8/12 47
Doug Options for Solving Jobs with Many Tasks 2020/9/9 13 30
Weiguang Is my neural network too big to fit into GPU? 2020/9/23 59 93
Jemmy Introduction to HPC Programming Language Chapel: Parallel Approaches 2020/10/7 7
Ed Introduction to Git 2020/10/21 50
Baolai Julia: Parallel computing revisited 2020/11/4 8
Tyson NixOS: The second largest and the most up-to-date Linux distribution 2020/11/18 18
Paul Practical Singularity 2020/12/2 28
Jinhui Offload Analytics Workload in Python to GPUs with RAPIDS 2020/12/16 46
Pawel Programming GPUs with Fortran 2021/1/13 25
Baolai Computing in arbitrary precision 2021/1/27 13
Isaac Using multiple GPUs for Machine Learning 2021/2/10 63
James Generating interactive visualizations with Plotly on Graham 2021/2/24 47
Armin Scalable Memory Allocation for Parallel Algorithms 2021/3/17 7
Sergio FauxConda: ways to use Conda without conda 2021/3/24 27
Jemmy An Update to ADF/AMS software on Graham 2021/4/7 14
Sergey Debugging your code with DDT 2021/4/21 15
Tyler Pandas Recipes for New Python Users 2021/5/5 53
Doug DIY Local Program Installation 2021/5/19 15
Baolai CANCELED 2021/6/2
Weiguang Learning from competition 2021/6/16 103
Tyson CANCELED 2021/6/30
Paul Hybrid MPI 2021/7/14 41
Mark Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems 2021/7/28 22
Ed Git Part 2 – Common Git Commands 2021/8/11 41
Baolai Introduction to Eclipse Part 2 - Developing and debugging MPI code 2021/9/8 16
Pawel ROCm: AMD's platform for GPU computing 2021/9/22 20
Sergey META: running a large number of jobs conveniently 2021/10/6 74
Jinhui Scaling Hyperparameter Tuning with Dask-ML on Clusters 2021/10/20 51
Isaac Running machine learning example (MNIST) on multi-cores/nodes in Graham 2021/11/3 96
Tyson The Layered Grammar of Graphics (gglot2/plotnine) 2021/11/17 59
Baolai Introduction to Eclipse Part 3 - Debugging MPI code 2021/12/1 9

Round 10 (Starting December 2021)

Presenter Topic(s) Date Att
James Tips for identifying when job wait times can be reduced by job submission parameter changes 2021/12/15 68
Armin Remote Development on Clusters with VSCode 2022/1/12 62
Sergio From histograms to dashboards: An introduction to data visualization with Python 2022/1/26 116
Tyler Conquering the Scheduler 2022/2/9 49
Jemmy Gaussian16 and NBO7 on Graham and Cedar 2022/2/23 50
Doug More Options for Solving Jobs with Many Tasks 2022/3/9 4
Weiguang Using Tensorboard to debug and profile neural network models 2022/3/23 35
Paul Apptainer 2022/4/6 39
Mark 10 ways to optimize your workflow 2022/4/20 39
Ed Demystifying Web Portals 2022/5/4 29
Sergey Profiling GPU codes with Nsight 2022/5/18 23
Pawel Speeding up Python code with Numba 2022/6/1 58
Baolai Realtime display with Gnuplot 2022/6/15 24
Isaac Running PyTorch codes with multi-GPU/nodes on national systems 2022/6/29 54
Jinhui Working with Jupyter on Clusters 2022/7/13 56
James Visualizing job properties for wait time assessment 2022/7/27 31
Tyson Debugging with ParaView 2022/8/10 20
Armin Remote Development on Clusters with VSCode - Part II 2022/9/7 16
Tyler Creating and Distributing Python Packages 2022/9/21 45
Weiguang Transfer Learning with Tensorflow Hub 2022/10/5 26
Doug Strategies For Managing Filesystem Quotas 2022/10/19 24
Paul Profiling & Performance Tuning CPU Programs 2022/11/2 19
Sergey Video Editing with KDEnLive 2022/11/16 21
Ed Deploying a simple Express.js Web App 2022/11/30 12
Pawel Which GPU should I use? 2022/12/14 24
Mark Performance: current and upcoming systems 2023/1/11 31
Jeff Moon How Research Data Management (RDM) Intersects with ARC and Why Should I Care? 2023/1/25 49
Baolai An introduction to MPLAPACK, a multi-precision linear algebra library 2023/2/8 15
Jinhui Accelerated DataFrame with Dask-cuDF on multiple GPUs 2023/2/22 16
Tyson plotnine: R's Grammar of Graphics in Python 2023/3/8 29

Round 11 (Starting March 2023)

Presenter Topic(s) Date Att
James Before and after submitting Octave/Matlab jobs on the clusters 2023/3/22 10
Jemmy Running MATLAB on Alliance's Clusters 2023/4/5 27
Armin CUDA, ROCm, oneAPI – All for One or One for All? 2023/4/19 33
Tyler Modern Approaches to Profiling in Python with Scalene 2023/5/3 29
Weiguang Contrastive learning 2023/5/17 63
Paul CANCELED 2023/5/31
Doug CANCELED 2023/6/14
Sergey CANCELED 2023/6/28
Ed Leveraging the power of Linux on Windows with WSL 2023/7/12 40
Mark DIY job monitoring, from cache misses to CO2 footprint 2023/7/26 16
Pawel Automating scientific workflows with AiiDA 2023/8/9 33
Baolai CANCELED 2023/8/23
Paul CANCELED 2023/9/6
Tyson Data Wrangling with Tidyverse 2023/9/20 27
James Exploring job wait times on Alliance compute clusters: a holistic view 2023/10/4 27
Armin p2rng – A C++ Parallel Random Number Generator Library for the Masses 2023/10/18 7
Tyler Generalized End to End Python and Neuroscience Workflows on a Compute Cluster 2023/11/1 17
Weiguang Squeeze more juice out of a single GPU in deep learning 2023/11/15 54
Collin Skorch: Training PyTorch models with scikit-learn 2023/11/29 34
Doug CANCELED 2023/12/13
Paul False Sharing and Contention in Parallel Codes 2024/1/17 17
Jemmy Introduction to GPU programming with OpenMP 2024/1/31 30
Ed MySQL Part 3: Constraints and Joins 2024/2/14 11
Sergey Debugging your code with DDT 2024/2/28 20
Mark Make: obsolete or elegant? 2024/3/13 16
Jinhui Accelerating Graph Analysis on GPUs 2024/3/27 25
Nastaran Accelerating data analytics with RAPIDS cuDF 2024/4/10 17
Tyson Data Wrangling with Tidyverse (part 2) 2024/4/24 4
Pawel Compute Ontario Summer School 2024 2024/5/8 25

Round 12 (Starting July 2024)

Presenter Topic(s) Date Att
James Exploring Compute Usage from User Facing Portals on the National Clusters 2024/7/17 13
Armin The Emergence of WebAssembly (Wasm) in Scientific Computing 2024/8/7 12
Tyler Diagnosing Wasted Resources from User Facing Portals on the National Clusters 2024/8/14 21
Weiguang Using machine learning to predict rare events 2024/8/28 51
Collin Debugging and Optimization of PyTorch Models 2024/9/11 42
Paul Multidimensional Arrays in C++ 2024/9/25 13
Mark Introspection for Jobs: in-job monitoring of performance 2024/10/9 18
Jemmy Parallel Programming: MPI I/O Basics 2024/10/23 12
Ed Git Part 3: Managing Workflows 2024/11/6 10
Sergey Survival guide for the upcoming GPU upgrades (more total power, but fewer GPUs) 2024/11/20 30
Tyson Data Wrangling with Tidyverse (part 3) 2024/12/4 6
Nast Unlocking the Power of Comet: Streamlining Machine Learning Experimentation 2024/12/18 9
Jinhui Canceled 2025/1/15
Pawel Converting Python code with NumPy to run on the GPU 2025/1/29 30
Armin High-Performance Data Science with Modern C++: Xeus-Cling and G3P 2025/2/12 9
Baolai Reduction of errors, or the pursuit of correctness 2025/2/26 20
James Preview of the "Job Scheduling and Monitoring" self-paced course 2025/3/12 4
Tyler Revisiting Cython: Is it still effective? 2025/3/26 14
Collin Too Big to Train: Large model training in PyTorch with Fully Sharded Data Parallel 2025/4/9 23
Jemmy Parallel Programming: MPI I/O Advanced Features 2025/4/23 10
Weiguang Checkpoints: why, when and how 2025/5/7 14
Mark CANCELED 2025/5/21
Paul Practical Multidimensional Arrays and Linear Algebra in C++ 2025/7/2 10
Ed Effortless Parallelism: Leveraging Julia Threads for High-Performance Scientific Computing 2025/7/16 18
Sergey Migrating to the upgraded national systems 2025/7/30 143
Nast Interactive Interfaces for Machine Learning Using Gradio 2025/8/13 21
Tyson The Nibi's web interface 2025/8/27 49
Pawel Installing your software packages with Spack 2025/9/10 24
Jinhui Running JupyterLab on Nibi 2025/9/24 34
Baolai Running Linux on Windows and taking it with you anywhere 2025/10/8 17

Round 13 (Starting October 2025)

Entries with the asterisk next to the name are delivered as a CO colloquium. The entries without the asterisk will be delivered as a GIS, shifted by one hour (1-2pm).

Presenter Topic(s) Date Att
James What exactly is a Resource Allocation Competition (RAC) Compute Award? 2025/10/22 10
Doug Running Engineering Related Packages Interactively on Nibi 2025/11/5 9
Armin High-Performance Data Science with Modern C++: Ranx 2025/11/19 2
Tyler Serial Farms: Package options and when to switch to farming 2025/12/3 7
Weiguang* Illuminating the Black Box: Understanding AI Models with Integrated Gradients 2025/12/17
Paul 2026/1/14
Collin* 2026/1/28
Jemmy 2026/2/11
Ed* 2026/2/25
Mark 2026/3/11
Jinhui 2026/3/25*
Sergey 2026/4/8
Tyson 2026/4/22*
Baolai 2026/5/6
Pawel 2026/7/15
Nast 2026/7/29
Doug 2026/8/12
James 2026/8/26
Tyler 2026/9/9
Armin 2026/9/23
Paul 2026/10/7
Weiguang 2026/10/21
Ed 2026/11/4
Collin 2026/11/18
Mark 2026/12/2
Jemmy 2026/12/16
Baolai 2027/1/13
Sergey 2027/1/27
Jinhui 2027/2/10
Tyson 2027/2/24
Pawel 2027/3/10
Nast 2027/3/24
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