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PAR Class 21, Thu 2022-03-31

Source

1 Grades

Homeworks up through 6 have been graded.

A course grade up to Mar 30 was calculated, weighting all homeworks the same, and uploaded to LMS.

You may convert it to a letter grade as follows:

90: A, 85: A-, 80: B+, 75: B, 70: B-, 65: C+, 60: C, 55: C-, 50: D+, 45: D, 0: F

2 Student presentations

2.1 Today

  1. Mark B and Phu T.T: GTC Cybersecurity

  2. Zach O: Advanced Technologies and Techniques for Debugging CUDA GPU Applications [S41252].

  3. Amanda M: Autonomous Vehicles

2.2 Mon 4/4

  1. Adrian-James G: IoT/5G

  2. Saaif A: Accelerating Distributed Reinforcement Learning

  3. Ryan W: Accelerated Vehicle Routing Algorithms [S41708]

  4. Cohen D: Accelerating Automobile Noise and Vibration Analysis Using GPUs

2.3 Thurs 4/7

  1. Reagan W, Ean S, Tom P, and Allan N: computer vision

3 Quantum computing, 3

continuing this, the 3rd major topic listed in the syllabus (after Multicore Intel Xeon and Nvidia GPU accelerator).

4 Looking for a term project topic?

  1. investigate some other widely used parallel tool, like Kokkos or Intel TBB, or parallel STL or the parallel primitives in C++20.

  2. try NVIDIA's ML tools.

  3. try a parallel VM on Amazon ECC and compare it to parallel.ecse.