Some CPU-based Python libraries for data analytics, like Numpy, Pandas, Scikit-Learn, etc., usually work well. As data sizes continue to grow, traditional CPU-based approaches often struggle to deliver timely insights. This workshop introduces GPU-accelerated data analytics using the RAPIDS suite in Python. RAPIDS leverages the power of NVIDIA GPUs to accelerate data processing and analytics tasks with less or no effort in code changes.
Live online classes will take place on Tues. Nov. 12 and Fri. Nov. 15 from 1 P.M. to 2 P.M. Eastern Time. Recordings of live classes will be available afterwards in this course for self-paced learning and review.
- Teacher: Jinhui Qin
Access is restricted to Digital Research Alliance of Canada (formerly Compute Canada) authenticated users only: Yes