Programming Parallel Computers, Scientific Computations

Reading Instructions for Eldén's Compendium

Chapter 1: 1.1-1.3 Background material; 1.4 Message of the lecture notes
Chapter 2: 2.1 Flynn's taxonomy; 2.2 Memory organization; The rest is background material
Chapter 3: 3.1 Fortran 90: Read to understand data parallel constructs (skip the Cray vectorization examples); 3.2 Message passing; 3.3 Shared memory parallelism - OpenMP; 3.4 Data parallel programming
Chapter 4: 4.1 Blas 1-3, Blas and memory hierarchy; 4.2 Matrix-vector multiplication; 4.3 Matrix multiplication; 4.4 Performance modelling, Amdahl's law, Scalable computations
Chapter 5: 5.1 Load balancing and data distribution; 5.2 Design principles; 5.3-5.4 Gaussian elimination, reordering loops; 5.6 Message passing Gaussian elimination; 5.7 Shared memory Gaussian elimination; 5.8 Multi-core LU; 5.9 Data parallel Gaussian elimination; The rest is background material

Sidansvarig: henrik.branden@liu.se
Senast uppdaterad: 2010-08-31