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 UC info |
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 Sumários SIGARRA |
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 NOTAS DO TESTE #1 / GRADES OF TEST #1 |
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NOTAS DO TESTE #2 / GRADES OF TEST #2 |
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NOTAS DO EXAME - ÉPOCA NORMAL PART #1 / GRADES OF EXAM PART #1 |
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NOTAS DO EXAME - ÉPOCA NORMAL PART #2 / GRADES OF EXAM PART #2 |
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Grading overview |
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Grading of assignments |
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Questions of Test #2 (enunciado) |
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Questions of Test #1 (enunciado) |
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 Handling Google Cloud Platform credentials when using services |
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| BOOKS |
Cloud Computing, Theory and Practice |
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Cloud Computing for Science and Engineering |
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Distributed and Cloud Computing: From Parallel Processing to the Internet of Things |
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The elements of statistical learning github notebooks |
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| THEORETICAL CLASSES |
14/2: Introduction |
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21/2: Parallelism: intro and shared memory model |
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28/2: Parallelism: message passing, loop restructuring and python multiprocessing pool |
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06/3: Parallel and distributed platforms |
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Virtualization |
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MapReduce |
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MapReduce tutorial |
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MapReduce scheduling algorithms in Hadoop: a systematic study |
Most recent survey about the many types of scheduling algorithms studied in the context of MapReduce computations. (Exclusion criteria are not very good, but this is less important than the contents)
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Apache Spark |
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Apache beam revisited |
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Dask & cia |
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Example of Modin+Dask code speedup |
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Graph Neural Networks |
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An alternative to GNNs |
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Programming for GPUs |
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Opportunities for parallelization |
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| Feb 15th: Practical Class #1 |
Apache Beam practice |
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| Feb 22nd: Practical Class #2 |
Python multiprocessing |
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Discussion about the Pool family of functions |
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| Feb 29th: Practical Class #3 |
 Google Cloud Coupon Setup |
After redeeming your coupon and checking for your credits (look for "credits" in the menu on the left), start exploring the platform. Install the Google Cloud toolkit. Try the platform.
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First steps with GCP |
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| Mar 7th: Practical Class #4 |
Handling VM instances, buckets and using gsutil and gcloud |
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Back to streaming: google cloud pubsub and Apache Beam |
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| Mar 21st: Practical Class #6 |
Dask |
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| April 11th: Practical class #8 |
Learning and working with Bigquery |
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Tutorial on bigquery by Prof. Eduardo Marques |
Tutorial on biqgquery by Prof. Eduardo Marques.
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| April 18th: Practical class #9 |
Modin |
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Joblib |
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| May 2nd: Practical class #10 |
Introduction to GNN with pytorch geometric |
This
notebook is part of the colab materials that use pytorch-geometric to
teach how to handle data represented as graphs. The main website with
all tutorials can be found here. Choose a simple graph from this site, and try to implement your own graph learning task.
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| May 16th: Practical class #11 |
Programming GPUs |
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| May 23rd: Practical class #12 |
RAPIDS AI cuDF |
Accelerating dataframe operations using cuDF.
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