Most linked-to pages

Showing below up to 162 results in range #1 to #162.

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1. Colloquium 2023 Accelerated DataFrame with Dask-cuDF on multiple GPUs‏‎ (2 links)
2. Colloquium 2023 An introduction to MPLAPACK, a multi-precision linear algebra library‏‎ (2 links)
3. Colloquium 2023 Automating scientific workflows with AiiDA‏‎ (2 links)
4. Colloquium 2023 Before and after submitting Octave/Matlab jobs on the clusters‏‎ (2 links)
5. Colloquium 2023 CUDA, ROCm, oneAPI – All for One or One for All?‏‎ (2 links)
6. Colloquium 2023 Contrastive learning‏‎ (2 links)
7. Colloquium 2023 DIY job monitoring, from cache misses to CO2 footprint‏‎ (2 links)
8. Colloquium 2023 Data Wrangling with Tidyverse‏‎ (2 links)
9. Colloquium 2023 Exploring job wait times on Alliance compute clusters: a holistic view‏‎ (2 links)
10. Colloquium 2023 Generalized End to End Python and Neuroscience Workflows on a Compute Cluster‏‎ (2 links)
11. Colloquium 2023 How Research Data Management (RDM) Intersects with ARC and Why Should I Care?‏‎ (2 links)
12. Colloquium 2023 Leveraging the power of Linux on Windows with WSL‏‎ (2 links)
13. Colloquium 2023 Modern Approaches to Profiling in Python with Scalene‏‎ (2 links)
14. Colloquium 2023 Performance: current and upcoming systems‏‎ (2 links)
15. Colloquium 2023 Running MATLAB on Alliance's Clusters‏‎ (2 links)
16. Colloquium 2023 Skorch: Training PyTorch models with scikit-learn‏‎ (2 links)
17. Colloquium 2023 Squeeze more juice out of a single GPU in deep learning‏‎ (2 links)
18. Colloquium 2023 p2rng – A C++ Parallel Random Number Generator Library for the Masses‏‎ (2 links)
19. Colloquium 2023 plotnine: R's Grammar of Graphics in Python‏‎ (2 links)
20. Colloquium 2024 Accelerating Graph Analysis on GPUs‏‎ (2 links)
21. Colloquium 2024 Accelerating data analytics with RAPIDS cuDF‏‎ (2 links)
22. Colloquium 2024 Debugging your code with DDT‏‎ (2 links)
23. Colloquium 2024 False Sharing and Contention in Parallel Codes‏‎ (2 links)
24. Colloquium 2024 Introduction to GPU programming with OpenMP‏‎ (2 links)
25. Colloquium 2024 Make: obsolete or elegant?‏‎ (2 links)
26. Colloquium 2024 MySQL Part 3: Constraints and Joins‏‎ (2 links)
27. Knowledge Base‏‎ (2 links)
28. Online Seminars‏‎ (2 links)
29. Webinar 2014 Advanced Message Passing in MPI: Using MPI Datatypes with Opaque C++ Types‏‎ (2 links)
30. Webinar 2014 An Introduction to Java Threads‏‎ (2 links)
31. Webinar 2014 Debugging at SHARCNET‏‎ (2 links)
32. Webinar 2014 Programming with VTK - a high-level visualization library‏‎ (2 links)
33. Webinar 2014 The SHARCNET Desktop‏‎ (2 links)
34. Webinar 2015 An Update on MATLAB at SHARCNET‏‎ (2 links)
35. Webinar 2015 CUDA Profiling and Tuning‏‎ (2 links)
36. Webinar 2015 Debugging and profiling of MPI programs‏‎ (2 links)
37. Webinar 2015 Deep Learning on SHARCNET: From CPU to GPU cluster‏‎ (2 links)
38. Webinar 2015 Exploring a new approach to package management‏‎ (2 links)
39. Webinar 2015 Fundamentals of working at the command line at SHARCNET‏‎ (2 links)
40. Webinar 2015 Get the most out of SharcNET‏‎ (2 links)
41. Webinar 2015 High Performance Computing with Python‏‎ (2 links)
42. Webinar 2015 Introduction to Parallel I/O‏‎ (2 links)
43. Webinar 2015 New User Seminar - Part 2‏‎ (2 links)
44. Webinar 2015 Parallel Design Patterns‏‎ (2 links)
45. Webinar 2015 Profiling function vectorization in Matlab/Octave‏‎ (2 links)
46. Webinar 2015 Programming, best practices‏‎ (2 links)
47. Webinar 2015 SHARCNet file management‏‎ (2 links)
48. Webinar 2015 Serial and parallel farming from A to Z‏‎ (2 links)
49. Webinar 2016 Automating Software Build Process using CMake‏‎ (2 links)
50. Webinar 2016 Debugging CUDA programs‏‎ (2 links)
51. Webinar 2016 Debugging OpenMP programs‏‎ (2 links)
52. Webinar 2016 Defensive Programming : Best Practices‏‎ (2 links)
53. Webinar 2016 Git and SHARCNET‏‎ (2 links)
54. Webinar 2016 How to get started with OpenFOAM at SHARCNET‏‎ (2 links)
55. Webinar 2016 Introduction to Apache Spark on SHARCNET‏‎ (2 links)
56. Webinar 2016 Introduction to Jupyter‏‎ (2 links)
57. Webinar 2016 Introduction to MPI - Part III‏‎ (2 links)
58. Webinar 2016 Introduction to OpenMP Parallel Programming‏‎ (2 links)
59. Webinar 2016 Parallel and high performance computing with R‏‎ (2 links)
60. Webinar 2016 Quick tips for getting the most out of SHARCNET‏‎ (2 links)
61. Webinar 2016 UNIX shell expansion: proper use and advanced forms‏‎ (2 links)
62. Webinar 2016 What Happened to My Job? Cluster Scheduling In Detail‏‎ (2 links)
63. Webinar 2017 Automating Software Build Process using CMake – Part II‏‎ (2 links)
64. Webinar 2017 Deep Learning on SHARCNET: Best Practices‏‎ (2 links)
65. Webinar 2017 Git and SHARCNET (part 2)‏‎ (2 links)
66. Webinar 2017 High Performance Computing with Python‏‎ (2 links)
67. Webinar 2017 Intel MPI Library Cluster Edition on Graham‏‎ (2 links)
68. Webinar 2017 Introduction to LINUX/SHELL programming in SHARCNET‏‎ (2 links)
69. Webinar 2017 Introduction to ParaView‏‎ (2 links)
70. Webinar 2017 Introduction to SHARCNET Cloud‏‎ (2 links)
71. Webinar 2017 Linear Algebra on GPU‏‎ (2 links)
72. Webinar 2017 Machine Learning using Jupyter Notebooks on Graham‏‎ (2 links)
73. Webinar 2017 Machine Learning with Spark at SHARCNET‏‎ (2 links)
74. Webinar 2017 Packaging with Nix‏‎ (2 links)
75. Webinar 2017 Partitions and scheduling, running jobs effectively on Graham and Cedar‏‎ (2 links)
76. Webinar 2017 Serial farming on Graham‏‎ (2 links)
77. Webinar 2017 Train models to recognize hand-written digits using Tensorflow‏‎ (2 links)
78. Webinar 2017 Training Neural Networks with hundreds of GPUs on Graham and Cedar‏‎ (2 links)
79. Webinar 2018 All about job wait times in the Graham queue‏‎ (2 links)
80. Webinar 2018 Code profiling on Graham‏‎ (2 links)
81. Webinar 2018 Concurrent File I/O by Multiple Processes‏‎ (2 links)
82. Webinar 2018 Debugging on Graham with DDT‏‎ (2 links)
83. Webinar 2018 Deploying a Full Stack Web Solution on the Cloud for Cluster Access‏‎ (2 links)
84. Webinar 2018 Fundamentals of working at the command line at Graham‏‎ (2 links)
85. Webinar 2018 Harnessing the Power of Heterogeneous Computing using Boost.Compute + OpenCL‏‎ (2 links)
86. Webinar 2018 Improving your Python programs with NumPy and SciPy‏‎ (2 links)
87. Webinar 2018 Intro to Intel Performance Tools‏‎ (2 links)
88. Webinar 2018 Introduction to MySQL on Graham‏‎ (2 links)
89. Webinar 2018 MySQL Part 2: Relations and Joins‏‎ (2 links)
90. Webinar 2018 Singularity‏‎ (2 links)
91. Webinar 2018 Stock Prediction Using Recurrent Neural Network‏‎ (2 links)
92. Webinar 2018 Summer School preview‏‎ (2 links)
93. Webinar 2018 The Benefits of GLOST for Many Jobs‏‎ (2 links)
94. Webinar 2018 Using MATLAB effectively on Graham and Cedar‏‎ (2 links)
95. Webinar 2018 Using Pseudorandom Number Sequences in C++‏‎ (2 links)
96. Webinar 2018 Using SSH for Good, not Evil‏‎ (2 links)
97. Webinar 2019 Dipping into C++17 Parallel Algorithms with Intel's Parallel STL‏‎ (2 links)
98. Webinar 2019 Docker‏‎ (2 links)
99. Webinar 2019 Exploring Octave package dataframe‏‎ (2 links)
100. Webinar 2019 Introduction to parallel programming with MPI and Python‏‎ (2 links)
101. Webinar 2019 Introduction to scalable computing with Dask in Python‏‎ (2 links)
102. Webinar 2019 Julia: A second perspective‏‎ (2 links)
103. Webinar 2019 Julia - A first perspective‏‎ (2 links)
104. Webinar 2019 Leveraging Compiler Optimization Reports‏‎ (2 links)
105. Webinar 2019 PRE and POST production on Graham‏‎ (2 links)
106. Webinar 2019 Pull your own data into ParaView‏‎ (2 links)
107. Webinar 2019 Using Multiple GPUs in Tensorflow‏‎ (2 links)
108. Webinar 2019 Using reduced numerical precision on Pascal, Volta and Turing GPUs‏‎ (2 links)
109. Webinar 2019 What Happened To My Job?‏‎ (2 links)
110. Webinar 2020 Bioinformatics in the terminal: Tips and tricks to make your life easier‏‎ (2 links)
111. Webinar 2020 Collaborative Groups in CUDA‏‎ (2 links)
112. Webinar 2020 Cython: A First Look‏‎ (2 links)
113. Webinar 2020 How to Use C++ Parallel Algorithms in a Distributed Memory Setup (i.e. MPI)‏‎ (2 links)
114. Webinar 2020 Introduction to Git‏‎ (2 links)
115. Webinar 2020 Introduction to HPC Programming Language Chapel: Parallel Approaches‏‎ (2 links)
116. Webinar 2020 Is my neural network too big to fit into GPU?‏‎ (2 links)
117. Webinar 2020 NixOS: The second largest and the most up-to-date Linux distribution‏‎ (2 links)
118. Webinar 2020 Options for Solving Jobs with Many Tasks‏‎ (2 links)
119. Webinar 2020 Practical Singularity‏‎ (2 links)
120. Webinar 2020 Using SSHFS to make CC storage more accessible‏‎ (2 links)
121. Webinar 2020 Visualizing job usage on the Compute Canada systems with the ViewClust Python package‏‎ (2 links)
122. Webinar 2021 Comparing CPU, GPU, memory, interconnect and filesystem performance across National systems‏‎ (2 links)
123. Webinar 2021 Computing in arbitrary precision‏‎ (2 links)
124. Webinar 2021 DIY Local Program Installation‏‎ (2 links)
125. Webinar 2021 Debugging your code with DDT‏‎ (2 links)
126. Webinar 2021 FauxConda: ways to use Conda without conda‏‎ (2 links)
127. Webinar 2021 Generating interactive visualizations with Plotly on Graham‏‎ (2 links)
128. Webinar 2021 Git Part 2 – Common Git Commands‏‎ (2 links)
129. Webinar 2021 Hybrid MPI‏‎ (2 links)
130. Webinar 2021 Learning from competition‏‎ (2 links)
131. Webinar 2021 META: running a large number of jobs conveniently‏‎ (2 links)
132. Webinar 2021 Pandas Recipes for New Python Users‏‎ (2 links)
133. Webinar 2021 Programming GPUs with Fortran‏‎ (2 links)
134. Webinar 2021 ROCm: AMD's platform for GPU computing‏‎ (2 links)
135. Webinar 2021 Running machine learning example (MNIST) on multi-cores/nodes in Graham‏‎ (2 links)
136. Webinar 2021 Scalable Memory Allocation for Parallel Algorithms‏‎ (2 links)
137. Webinar 2021 Scaling Hyperparameter Tuning with Dask-ML on Clusters‏‎ (2 links)
138. Webinar 2021 Tips for identifying when job wait times can be reduced by job submission parameter changes‏‎ (2 links)
139. Webinar 2022 10 ways to optimize your workflow‏‎ (2 links)
140. Webinar 2022 Apptainer‏‎ (2 links)
141. Webinar 2022 Conquering the Scheduler‏‎ (2 links)
142. Webinar 2022 Creating and Distributing Python Packages‏‎ (2 links)
143. Webinar 2022 Debugging with ParaView‏‎ (2 links)
144. Webinar 2022 Demystifying Web Portals‏‎ (2 links)
145. Webinar 2022 Deploying a simple Express.js Web App‏‎ (2 links)
146. Webinar 2022 From histograms to dashboards: An introduction to data visualization with Python‏‎ (2 links)
147. Webinar 2022 Gaussian16 and NBO7 on Graham and Cedar‏‎ (2 links)
148. Webinar 2022 More Options for Solving Jobs with Many Tasks‏‎ (2 links)
149. Webinar 2022 Profiling & Performance Tuning CPU Programs‏‎ (2 links)
150. Webinar 2022 Profiling GPU codes with Nsight‏‎ (2 links)
151. Webinar 2022 Realtime display with Gnuplot‏‎ (2 links)
152. Webinar 2022 Remote Development on Clusters with VSCode‏‎ (2 links)
153. Webinar 2022 Remote Development on Clusters with VSCode - Part II‏‎ (2 links)
154. Webinar 2022 Running PyTorch codes with multi-GPU/nodes on national systems‏‎ (2 links)
155. Webinar 2022 Speeding up Python code with Numba‏‎ (2 links)
156. Webinar 2022 Strategies For Managing Filesystem Quotas‏‎ (2 links)
157. Webinar 2022 Transfer Learning with Tensorflow Hub‏‎ (2 links)
158. Webinar 2022 Using Tensorboard to debug and profile neural network models‏‎ (2 links)
159. Webinar 2022 Video Editing with KDEnLive‏‎ (2 links)
160. Webinar 2022 Visualizing job properties for wait time assessment‏‎ (2 links)
161. Webinar 2022 Which GPU should I use?‏‎ (2 links)
162. Webinar 2022 Working with Jupyter on Clusters‏‎ (2 links)

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