Massively Parallel Computing INFO4173 (Master)



Graphics processors contain hundreds of parallel processing elements and thus enable us to explore this realm of massively parallel computing today. The high number of parallel cores poses a great challenge for software design that must expose massive parallelism to benefit from this hardware. The main purpose of the lecture is to teach practical algorithm design for such parallel hardware.

Taking Part

To take part, do the following:


Exercises during block course

Oral exam


Planned Schedule

Date Lectures Exercises
Do., 05.03.2020 08:30: Intro
13:30: Memory
Assignment 1: Kernel Calls,Memory Transfer
Assignment 2: Cross Correlation, Reverse Arrays
Fr., 06.03.2020 08:30: Control Flow
13:30: Sorting
Assignment 3: Reduction, Compaction
Assignment 4: Bucket Sort, Cell Coverage
Weekend   Assignment 4: Bucket Sort, Cell Coverage (continued)
Mo., 09.03.2020 08:30: Data Structures, Profiling
13:30: Machine Learning
Assignment 5: Matrix Multiplication, Machine Learning
Di., 10.03.2020

08:30: Searching, N-Body
13:30: Systems

Assignment 6: Particle Systems
Mi., 11.03.2020 08:30: PDEs
13:30: Numerics
Assignment 6: Particle Systems (continued)