Gathering the available programs and representative materials.
San Diego Supercomputer Center (SDSC) webinars introduce research computing tools and practices, including running jobs, managing data, GPU computing, containers, Python and Jupyter notebooks on high-performance computing systems.
40 associated materials. Page 5 of 7.
SeedMeLab is web based data management system. It enables the hosting of data on the web/intranet with access controls and pluggable identity management. The expressive and extensi…
This webinar introduces users to Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the po…
RAPIDS is NVIDIA's new Python-based framework for accelerating end-to-end data science and machine learning pipelines on their GPUs. In this webinar, we'll provide an overview of t…
Python is rapidly becoming the programming language of choice for scientific research, and Jupyter Notebooks provide a user-friendly way of writing and running python code and of t…
In this webinar we start by describing how to obtain hardware and system information such as CPU specifications, memory quantity, cache configuration, mounted file systems and thei…
Machine learning is an interdisciplinary field focused on the study and construction of computer systems that can learn from data without being explicitly programmed. Machine learn…
