https://github.com/quansight-labs/rbfi-benchmark
Benchmark code and results for RBFInterpolator using Pythran
https://github.com/quansight-labs/rbfi-benchmark
Last synced: 2 months ago
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Benchmark code and results for RBFInterpolator using Pythran
- Host: GitHub
- URL: https://github.com/quansight-labs/rbfi-benchmark
- Owner: Quansight-Labs
- Created: 2021-06-18T09:31:43.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-06-23T06:58:12.000Z (over 4 years ago)
- Last Synced: 2025-01-19T19:56:08.063Z (9 months ago)
- Language: Python
- Size: 55.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Yappi Profiling Summary (Without SIMD)
======================================
Repeat Frequency: 10
### Initalising RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) | Total Memory Usage (bytes) |
|-------------------------|------------------|-----------------|------------------------------|
| 1102 | 1.20806 | 0.120752 | 137592 |
| 1764 | 3.99963 | 0.399886 | 137592 |
| 2556 | 7.81915 | 0.781839 | 137592 |
| 3453 | 13.9313 | 1.39303 | 137592 |
| 4495 | 29.3855 | 2.93842 | 137592 |
| 5643 | 50.9823 | 5.09807 | 137592 |
### Evaluating RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) | Total Memory Usage (bytes) |
|-------------------------|------------------|-----------------|------------------------------|
| 1102 | 1.085 | 0.102994 | 137464 |
| 1764 | 2.49604 | 0.241569 | 137464 |
| 2556 | 5.15016 | 0.50252 | 137464 |
| 3453 | 9.48217 | 0.931425 | 137464 |
| 4495 | 15.9362 | 1.56944 | 137464 |
| 5643 | 24.9028 | 2.46105 | 137464 |
Yappi Profiling Summary (With SIMD)
===================================
Repeat Frequency: 10
### Initalising RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) | Total Memory Usage (bytes) |
|-------------------------|------------------|-----------------|------------------------------|
| 1102 | 1.76125 | 0.176073 | 137592 |
| 1764 | 4.74023 | 0.473962 | 137592 |
| 2556 | 9.40693 | 0.940613 | 137592 |
| 3453 | 18.1898 | 1.81887 | 137592 |
| 4495 | 33.8257 | 3.38243 | 137592 |
| 5643 | 55.6749 | 5.56733 | 137592 |
### Evaluating RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) | Total Memory Usage (bytes) |
|-------------------------|------------------|-----------------|------------------------------|
| 1102 | 1.11245 | 0.105558 | 137464 |
| 1764 | 2.52389 | 0.244262 | 137464 |
| 2556 | 5.61221 | 0.548289 | 137464 |
| 3453 | 9.96587 | 0.977694 | 137464 |
| 4495 | 17.2801 | 1.70248 | 137464 |
| 5643 | 24.7779 | 2.44902 | 137464 |
cProfile Profiling Summary (Without SIMD)
=========================================
Repeat Frequency: 10
### Initalising RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) |
|-------------------------|------------------|-----------------|
| 1102 | 0.483 | 0.0483 |
| 1764 | 1.442 | 0.1442 |
| 2556 | 3.649 | 0.3649 |
| 3453 | 5.913 | 0.5913 |
| 4495 | 11.765 | 1.1765 |
| 5643 | 24.243 | 2.4243 |
### Evaluating RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) |
|-------------------------|------------------|-----------------|
| 1102 | 0.528 | 0.0528 |
| 1764 | 1.227 | 0.1227 |
| 2556 | 2.575 | 0.2575 |
| 3453 | 4.658 | 0.4658 |
| 4495 | 7.857 | 0.7857 |
| 5643 | 12.961 | 1.2961 |
cProfile Profiling Summary (With SIMD)
======================================
Repeat Frequency: 10
### Initalising RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) |
|-------------------------|------------------|-----------------|
| 1102 | 0.621 | 0.0621 |
| 1764 | 1.897 | 0.1897 |
| 2556 | 3.444 | 0.3444 |
| 3453 | 7.152 | 0.7152 |
| 4495 | 16.952 | 1.6952 |
| 5643 | 26.608 | 2.6608 |
### Evaluating RBFInterpolator
| Number Of Data Points | Total Time (s) | Time/Call (s) |
|-------------------------|------------------|-----------------|
| 1102 | 0.53 | 0.053 |
| 1764 | 1.264 | 0.1264 |
| 2556 | 2.54 | 0.254 |
| 3453 | 4.906 | 0.4906 |
| 4495 | 8.332 | 0.8332 |
| 5643 | 14.482 | 1.4482 |