Basic Information

  • Course description, goals, integrity, knowledge base
  • Course number: 263-2300, 6 credits
  • Spring 2016, lectures: M 10:15-12:00, HG D3.2; Th 9:15-10:00 CAB G51; occasional substitute lectures: W 13:15-15:00 HG D3.2
  • Instructor: Markus Püschel
  • TAs:
    • Alen Stojanov
    • Gagandeep Singh
    • Only for project supervision: Daniele Spampinato
    • Only for project supervision: Georg Ofenbeck

Grading

  • 40% research project
  • 25% midterm
  • 35% homework
  • There is no final Exam

Research Project

# Title Supervisor/s
1 Optimal binary search trees GO
2 Short range molecular dynamics MP
3 Edmonds Karp algorithms MP
4 K-means clustering AS, GS
5 Classification using Discriminative Restrictive Boltzmann Machines DS
6 Elliptic curve cryptography AS, GS
7 Transitional Markof Chain Monte Carlo AS, GS
8 Coresets for Soft Clustering with Bregman Divergences MP
9 Restarted GMRES on Frank matrices DP
10 KAZE feature detection on ARM AS, GS
11 Viterbi for spelling correction GO

Midterm

20. April, 13:15 - 15:00, HG E5 (without solution, with solution).

Homework

Homework Deadline Solution
Homework 0 as soon as possible  
Homework 1 March 11th, 5pm Solution
Homework 2 March 18th, 5pm Solution
Homework = work on project April 4th, 5pm  
Homework 3 April 11th, 5pm Solution
Homework = work on project April 27th, 5pm  
Homework 4 May 12th, 5pm Solution

Lectures (including pdfs)

Date Content Notes Other
22.02 Course motivation, overview, organization    
25.02 Recap asymptotic analysis, cost and performance analysis    
29.02 Intel Core Microarchitecture, compute/memory bound   Intel Optimization Manual
03.02 Super scalar processors, instruction-level parallelism    
07.03 cancelled, moved to W 09.03.    
09.03 benchmarking, compiler limitations    
10.03 compiler limitations, caches    
14.03 cancelled, moved to W 16.03.    
16.03 [caches, blocking MMM]   notes
17.03 cancelled    
21.03 Roofline model notes paper
24.03 dense linear algebra software, ATLAS    
04.04 optimizing MMM, model-based ATLAS notes  
07.04 optimizations related to register renaming and virtual memory notes  
11.04 Memory bound computations, sparse MVM    
14.04 Sparse MVM continued, SIMD vectorization    
18.04 cancelled (Sechseläuten & exam W 20.4.)    
20.04 Midterm exam (HG E5)    
21.04 SIMD vector extensions   Intel Intrinsics Guide
25.04 SIMD vector extensions    
28.04 Linear transforms and algorithms notes  
02.05 Fast Fourier transform notes  
09.05 Optimizing FFT, FFTW notes  
12.05 cancelled    
19.05 Autotuning and machine learning    
23.05 Program generation for performance (Spiral)    
26.05 cancelled    
30.05 cancelled, moved to W    
01.06 project presentations    
02.06 project presentations