EE548 High Performance Computing

Lecture

Wednesday 13h00-15h00 (s5109)

Resources

C tutorial (https://www.learn-c.org)
CUDA toolkit documentation (https://docs.nvidia.com/cuda/index.html)
Introduction to CUDA (Easy Introduction to CUDA C and C++)
CUDA unified memory (An Even Easier Introduction to CUDA)
MPI-2 Documentation (DeinoMPI)
MATLAB Parallel Computing Toolbox (Documentation API)

HPC server

The HPC server is accessible through SSH. Use the following instructions to connect using Visual Studio Code.

Schedule

Week	Date	Day	Lectures	Readings	Laboratory
1	5-9 Jan	Wed	CUDA basics	Chap 1 & 2	https://www.learn-c.org Lab 0 (start code) (due 14 Jan)
2	12-16 Jan	Wed	Multidimensional grids and data	Chap 3 & 4 (2D arrays in C)	Lab 1 (start code) (due 28 Jan)
3	19-23 Jan	Wed	Memory architecture and data locality Performance considerations	Chap 5 & 6
4	26-30 Jan	Wed	Convolution Stencil	Chap 7 & 8	Lab 2 (start code) (due 11 Feb)
5	2-6 Feb	Wed	Parallel histogram Reduction	Chap 9 & 10
6	9-13 Feb	Wed	Prefix sum (scan) Merge	Chap 11 & 12	Lab 3 (start code) (due 25 Feb)
7	16-20 Feb	Wed	Radix Sort	Chap 13
8	23-27 Feb	Wed	Intro to Thrust library	Thrust chapter	Lab 4 (start code) (due 11 Mar)
9	2-6 Mar	Wed	OpenMP	Barlas Read 8.1 to 8.4
10	9-13 Mar	Wed	Programming a heterogeneous computing cluster	Chap 20	Lab 5 (start code) (due 18 Mar)
11	16-20 Mar	Wed	Project proposal
12	23-27 Mar	Wed	Project progress review
13	30 Mar – 3 Apr	Wed	Project progress review
14	6-10 Apr	Wed	Project presentation		Project presentation Paper critique (both due 8 Apr)
15	13-17 Apr		Term is over