PerfAndPubTools consists of a set of MATLAB/Octave functions for analyzing software performance benchmark results and producing associated publication quality materials, mainly oriented towards LaTeX outputs. If you use this software please cite the following reference:
- Fachada N, Lopes VV, Martins RC, Rosa AC., (2016). PerfAndPubTools – Tools for Software Performance Analysis and Publishing of Results. Journal of Open Research Software. 4(1), p.e18. http://doi.org/10.5334/jors.115
The PerfAndPubTools User Guide describes the basic concepts and explains how to use the package by presenting two different use cases exemplifying the provided functionality.
Here's a list of papers authored with the help of PerfAndPubTools. If you want your paper listed here, fork this repository, edit this file and open a pull request. Alternatively, open an issue.
-
Fernandes CM, Fachada N, Merelo J, Rosa AC. (2019) Steady state particle swarm. PeerJ Computer Science 5:e202 https://doi.org/10.7717/peerj-cs.202
-
Fachada N, Lopes VV, Martins RC, Rosa AC. (2017) Parallelization strategies for spatial agent-based models. International Journal of Parallel Programming. 45(3):449–481. http://dx.doi.org/10.1007/s10766-015-0399-9 (arXiv preprint)
-
Fachada N, Lopes VV, Martins RC, Rosa AC. (2017) cf4ocl: A C framework for OpenCL, Science of Computer Programming, 143:9–19, http://www.sciencedirect.com/science/article/pii/S0167642317300540 (arXiv preprint)
-
Fachada N, Rosa AC. (2017) Assessing the feasibility of OpenCL CPU implementations for agent-based simulations, Proceedings of the 5th International Workshop on OpenCL (IWOCL 2017), Article No. 4, http://doi.acm.org/10.1145/3078155.3078174
-----------------------------------------------
| vs Bubble |
-----------------------------------------------------------------
| Imp. | Set. | t(s) | std | std% | x Bubble |
-----------------------------------------------------------------
| Bubble | 1e5 | 36 | 0.887 | 2.46 | 1 |
| | 2e5 | 145 | 2.92 | 2.02 | 1 |
| | 3e5 | 325 | 6.19 | 1.90 | 1 |
| | 4e5 | 578 | 6.38 | 1.10 | 1 |
-----------------------------------------------------------------
| Select | 1e5 | 9.53 | 0.069 | 0.72 | 3.78 |
| | 2e5 | 38 | 0.283 | 0.74 | 3.81 |
| | 3e5 | 88.5 | 3.7 | 4.18 | 3.67 |
| | 4e5 | 154 | 3.06 | 1.99 | 3.76 |
-----------------------------------------------------------------
| Merge | 1e5 | 0.02 | 3.66e-18 | 0.00 | 1.8e+03 |
| | 2e5 | 0.041 | 0.00316 | 7.71 | 3.53e+03 |
| | 3e5 | 0.06 | 1.46e-17 | 0.00 | 5.42e+03 |
| | 4e5 | 0.085 | 0.0127 | 14.93 | 6.8e+03 |
-----------------------------------------------------------------
| Quick | 1e5 | 0.01 | 1.83e-18 | 0.00 | 3.6e+03 |
| | 2e5 | 0.02 | 3.66e-18 | 0.00 | 7.24e+03 |
| | 3e5 | 0.03 | 7.31e-18 | 0.00 | 1.08e+04 |
| | 4e5 | 0.051 | 0.00316 | 6.20 | 1.13e+04 |
-----------------------------------------------------------------
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent