ParDist

(One of the Course Clusters.)

ParDist: Parallel and Distributed Computing
- Chair Olaf Landsiedel, vice: Alejandro Russo
- ParDist: Concurrent programming (@ST: Alejandro Russo, Prasad)
- ParDist: Operating Systems (@NS: Marina Papatriantafilou)
- ParDist: Distributed Systems (@NS: Olaf Landsiedel)
- ParDist: Distributed Systems II (@NS: Philippas Tsigas)
- ParDist: Parallell Functional Programming (@ST: Mary Sheeran, John Hughes)
- ParDist: Distributed Fault-tolerant Programming (@SE, Michał Pałka)
1st Meeting 2014-05-23 (Meeting Notes, thanks Patrik):
- MaPa; BSc; LP2, 90; Operating Systems; (some classical content is instead in the ConcProg course) two labs: build a small kernel (old but liked), fine-grained synchronisation (shared stacks, shared queues)
- AlRu; BSc; LP3, 150; Concurrent programming; TDA383 + DIT290
- Prasad; BSc; LP1, 80; Concurrent programming; TDA383 + DIT290
- MiPa; BSc; LP1, 50?; 3hp; Distributed Fault-tolerant Programming; DIT027
- OlLa; MSc; LP2, 70; Distributed systems; "Seattle" system, cut down version of Python; https://seattle.poly.edu/wiki
- PhTs; MSc; LP3, 45; Adv. distributed systems; more systems oriented, manage your own threads, C, pthreads, heavy lab course
- MaSh: MSc; LP4, 30; Parallel Functional Programming;
- Side issue:
  - TODO: Find out about the "quota" system for GU students?? I have not been told about this as head of division.
  - TODO: Mary says: find out where parallell algorithms should fit in the curriculum in general
  - TODO: AlRu: do some data mining on the student data to figure out the flows
  - TODO: Mary: we also need to think about "understudy" for TAs
  - TODO: replacement teacher: check that all have one