Assignment 4 Speed Contest Leaderboard
All tests were run on a Mac Pro 12-core desktop computer running OS X 10.10.1 and gcc version 4.9.2, MATLAB R2014b, Python 2.7.8 (Anaconda 2.1.0) and R version 3.1.1
Once everyone hands in their code I will make the code available on this webpage.
You may resubmit your code any time up to the deadline (e.g. if you think of a new way of speeding it up after handing it in).
You're also free to submit code in multiple languages if you want to compete in more than one competition.
| name | language | speed (sec) | parallel | notes |
|---|---|---|---|---|
| Gribble | C | 0.498 | Y | 1 |
| Gribble | C | 4.150 | N | 1 |
| Gribble | C | 7.920 | N | |
| Dekraker | MATLAB | 8.753 | Y | 1,2 |
| Gu | MATLAB | 42.449 | Y | 1 |
| Dekraker | MATLAB | 43.005 | Y | 1 |
| Nguyen & Vo | MATLAB | 52.446 | Y | 1 |
| Ritz | MATLAB | 66.176 | Y | 1 |
| Abeyasinghe | MATLAB | 82.674 | Y | 1 |
| Sternin | MATLAB | 106.869 | Y | 1 |
| Lyons & Sergeeva | MATLAB | 110.293 | Y | 1 |
| Viczko | MATLAB | 122.403 | Y | |
| Gribble | MATLAB | 124.953 | Y | |
| Blumenthal | MATLAB | 1137.043 | N | 1 |
| Domingo & Tran | MATLAB | 1143.310 | N | |
| Lyons & Sergeeva | MATLAB | 1150.420 | N | |
| Gribble | MATLAB | 1151.175 | N | |
| Gribble | Python | 2526.500 | N | 1 |
| Coros & Alazary | Python | 6106.359 | N | 1 |
| Gribble | R | 95568.750 | Y | 1,3 |
| Nichols | R | 3330647.000 | N | 4 |
Notes
- Made platemethod function code more efficient
- Used MATLAB compiler to generate compiled versions of the platemethod function and a function for doing the bootstrap
- Timed on 24 neurons and 100 bootstrap iterations and extrapolated the time required for 100 neurons using 10,000 iterations
- Timed on 100 neurons and 10 bootstrap iterations and extrapolated the time required for 100 neurons using 10,000 iterations
last updated Dec 20 2014
