• Week1
• Week2
• Week3
• Week4
• Week5
• Week6
• Week7
• Week8
• Weeks9_and_10

Week 2

• I read more about CUDA programming.
• I read chapters 1-3 of an online book.
• I watched the slides and listened to online lectures.
• Some of the material was new, some old, it helped me become more familiar with CUDA.
• The materials can be found here.
• I had multiple meetings with Dr. Taufer and Philip.
• We had a discussion about the basics of GPU programming and CUDA.
• We discussed other portions of our project (in particular, of good methodologies for measuring performance).
• We decided to apply an N-factor analysis for the study of our performance.
• To this end, we re-engineered the code to allow for measurements of time spent in the program (i.e.: host to/from device communication, kernel execution).
• I signed up for two nvidia webinars.
• Philip and I have participated in one.
• This webinar covered the basics of using CUDA for GPGPU programming.
• We also participated in the second with Dr. Taufer.
• This webinar covered performance considerations and ways to optimize performance.
• I added a way in our makefile for the matrix multiplication code to compile at either double or single precision.
• I began working on a script to automate the n factor analysis for the matrix multiplication and its performance.
• With Dr. Taufer and others in the group, I joined Dr. Pollock and some of her students in a picnic.
• It was fun!