Instructional Tools
- Canvas
- Turnitin
- Gradescope
- iClickers
- LockDown Browser
- Piazza
- AWS Educate
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DSMLP & Datahub
- CloudLabs
- Other Tools
UC San Diego's Data Science/Machine Learning Platform (DSMLP) provides undergraduate and graduate students with access to research-class CPU/GPU resources for coursework, formal independent study, and student projects. Built and operated by IT Services (ITS), with additional financial contributions from Cognitive Science and Jacobs School of Engineering, DSMLP leverages Qualcomm Institute's current research into cost-effective machine-learning cyberinfrastructure using Kubernetes and Docker container technologies.
DSMLP's Jupyter notebooks offer straightforward interactive access to popular languages and GPU-enabled frameworks such as Python, R, Pandas, PyTorch, TensorFlow, Keras, NLTK, and AllenNLP.
Student workspaces, course files, and common training corpora (e.g. CIFAR, ImageNet) are housed in High-speed cluster-local storage houses. Complex workflows are supported through terminal/SSH logins, background batch jobs, and a full Linux/Ubuntu CUDA development suite. Users may install additional library packages (e.g. conda/pip, CRAN) as needed, or can opt to replace the default environment entirely by launching their own custom Docker containers.
Instructors and instructional support staff may request personal DSMLP access in order to support their students' use of the platform, or to explore and evaluate the environment for course development purposes.
To request an account, please email request to datahub@ucsd.edu. To request computing support for your undergraduate and graduate-level courses, submit an Instructional Technology Request (CINFO) via cinfo.ucsd.edu.
Please note that DSMLP is limited to student-focused activities. Research IT Services can help identify comparable GPU compute environments for your non-student research needs.
Students may obtain access to DSMLP through the following routes:
Due to funding restrictions, DSMLP resources are not currently available to self-supported professional degree programs' coursework or capstone projects.
In support of UC San Diego's instructional mission, DSMLP resources are made available for many independent-study and student research activities, including:
Please use the DSMLP Independent Study Access Request Form to outline the scope of your project and describe its computational needs. If you are requesting resources as part of a team, only one member need submit a form.
Due to state funding restrictions, DSMLP cannot be used for self-supported professional degree programs' coursework or capstone projects.
*Please see the next section, "Special considerations for Doctoral research", for additional information regarding use of DSMLP for dissertation research.
ETS is happy to support dissertation-related independent study via our instructional computing resources.
However, instructional systems such as DSMLP may not be optimal environments for the complex collaborative research many Doctoral students pursue. Before we provision an account, we'll ask you and your advisor to acknowledge the following limitations: