cse8803pna | ![]() |
Parallel Numerical Algorithms |
What? CS/CSE 8803 PNA, Spring 2008 When? T/Th 9:35-10:55a Where?: College of Computing Building (CCB), Rm 101 |
Who?: Prof. Richard Vuduc Contact: richie /at/ cc /dot/ gatech /dot/ edu Office hours: T/Th 11a-12p |
Class mailing list: cse8803-pna-sp08 /at/ t-square /dot/ gatech /dot/ edu Class web page: CSE-8803-PNA on T-Square; Also: http://vuduc.org/teaching/cse8803-pna-sp08 |
Course materials: I will post all necessary
course materials (links to papers/readings) on
the GT T-Square
website for this course, CSE-8803-PNA. There are no required textbooks for this course. However, you may find the following references useful:
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Description: The goal of this course is to introduce you to parallelization techniques and issues for core numerical algorithms in computational science, including dense and sparse linear algebra computations, numerical solution of ordinary and partial differential equations, signal processing, numerical optimization, and particle simulations. About 2/3 of the course will be devoted to fundamental techniques; the remaining 1/3 will cover current research on topics such as novel algorithms and the interactions between algorithms and machine architectures, among others. |
Prerequisites: There are no formal prerequisites, but prior exposure to parallel programming and numerical algorithms (e.g., CS 8803 NMC by Prof. Haesun Park) would be very helpful. The course is open to graduate and advanced undergraduate students, and students in all science and engineering disciplines are encouraged to attend. |
Grading and course requirements:
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Course policies:
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Related courses at other institutions:
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Week | Day | Lec. No. | Topic | Assigned | Due |
1 | 1/8 | 1 | Overview | Survey | |
1/10 | 2 | Hardware trends | Survey | ||
2 | 1/15 | 3 | From problem to parallel algorithm | Proposal | |
1/17 | 4 | Performance models | |||
3 | 1/22 | 5 | Programming models (1) | ||
1/24 | 6 | Programming models (2) | |||
4 | 1/29 | 7 | Dense linear algebra (1) | ||
1/31 | 8 | Dense linear algebra (2) | HW 1 | ||
5 | 2/5 | 9 | Sparse linear algebra (1) | ||
2/7 | 10 | Sparse linear algebra (2) | |||
6 | 2/12 | 11 | Fast Fourier transform | ||
2/14 | 12 | Multigrid | |||
7 | 2/19 | 13 | Parallelism & accuracy tradeoffs | ||
2/21 | 14 | Single-processor performance (1) | |||
8 | 2/26 | 15 | Guest: Prof. H. Kim on GPGPU | HW 1 | |
2/28 | 16 | Single-processor performance (2) | |||
9 | 3/4 | 17 | Autotuning (1) | Checkpoint | |
3/6 | 18 | Autotuning (2) | |||
10 | 3/11 | 19 | Autotuning (2.5) | Proposal | |
3/13 | No class - Attend SIAM PP | ||||
11 | 3/18 | No class - Spring break | |||
3/20 | No class - Spring break | ||||
12 | 3/25 | 20 | N-body (1) | ||
3/27 | 21 | N-body (2) | |||
13 | 4/1 | 22 | Guest: Ryan Riegel on Dual-tree algorithms in statistics | ||
4/3 | 23 | Guest: Dr. Douglass Post of DoD HPC Modernization Program (Room TBD) | |||
14 | 4/8 | (Cancelled) | Checkpoint | ||
4/10 | 24 | N-body (3) | |||
15 | 4/15 | 25 | Multicore tuning for SpMV | ||
4/17 | 26 | Load balancing | |||
16 | 4/22 | 27 | Graph partitioning | ||
4/24 | HPC Day in Klaus Atrium | ||||
4/28 | Scheduled exam day (8-10:50a) NO EXAM but project reports due | Report |