Consolidated Schedule, Fall 2016

The schedule below is tentative and will be tweaked as we go along in the semester. There are five main components (columns): Lectures (and the notes), readings, labs, discussions and weekly assignments. The video of the lectures will be available under Canvas.

Month	Day		Week	Lecture	Reading	Discussions	Labs	Assignment
								Posted	Due
Aug	23	Tue	1	Intro, expectations/logistics (slides)	Quinn Ch 3	D00 (groups)	L00 (taking notes)
	25	Thu
	30	Tue	2	OpenMP (slides from Quinn)	Quinn Ch17	D01 (L01 report)	L01 (Measuring & Plotting)	PA1 (warmup)
Sept	1	Thu							PA1
	6	Tue	3	Sieve of Eratosthenes (slides)	Quinn Ch 5	D02 (L02 Report)	L02 (Mandelbrot revisited)
	8	Thu
	13	Tue	4	OpenMP Tasks (slides)		D03 (L03 Report)	L03 (OpenMP Tasks)	PA2 (Sieve)
	15	Thu							PA2
	20	Tue	5	Caching, Blocking & Locality (slides) Knapsack DP (slides)	3-C, Roofline Knapsack
	22	Thu
	27	Tue	6	Memory-efficient knapsack Cray Basics		D04 (L04 Report)	L04 (Running PA1 on the Cray)
	29	Thu
Oct	4	Tue	7	Midterm Review				PA3 (KPDP)
	6	Thu		Midterm (in class, no lab)
	11	Tue	8	Dependence Analysis Wavefront Parallelization (slides)					PA3
	13	Thu
	18	Tue	9	MPI Introduction (slides from Quinn)		L05 (MPI basics)		PA4 (MPI J2D)
	20	Thu							PA4
	25	Tue	10
	27	Thu		Wavefront parallelization (contd.)
Nov	1	Tue	11	Intro to GPUs & CUDA (slides )		L06 (GPUs & CUDA)		PA5 (CUDA)
	3	Thu							PA5
	8	Tue	12	Performance and Efficiency	Quinn Ch 7	L07 (Plotting and analyzing data)
	10	Thu
	15	Tue	13	Wavefront parallelization (contd.) Back Propagation Learning in CUDA		L08 (Wavefront Parallelization Exercises)		PA6 (BPL)
	17	Thu							Report
	22	Tue	14	Thanksgiving break (no classes)
	24	Thu
	29	Tue	15	Sorting Matrix Mult					PA6
Dec	1	Thu
	6	Tue	16	Review
	8	Thu
	12	Mon	Final Exam (6:20-8:20 pm)