[Announce] NumPy 1.9.1 for MeeGo Harmattan - Page 2 - maemo.org

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rcolistete	2014-09-25 , 19:05
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#11

Second release of NumPy 1.8.2 for MeeGo Harmattan, now you can install it using Warehouse by tapping the "Install" button (no need of Terminal and 'apt-get install'). And NumPy after installation is visible in MeeGo Harmattan Application Manager.

See 1st post.

__________________
Python, C/C++, Qt and CAS developer. For Maemo/MeeGo/Sailfish :
Integral, Derivative, Limit - calculating mathematical integrals, derivatives and limits. SymPy - Computer Algebra System.
MatPlotLib - 2D & 3D plots in Python. IPython - Python interactive shell.
-- My blog about mobile & scientific computing ---
Sailfish : Sony Xperia X, Gemini, Jolla, Jolla C, Jolla Tablet, Nexus 4. Nokia N9, N900, N810.

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	irulestar	2014-09-26 , 05:35
	Posts: 217 \| Thanked: 89 times \| Joined on Dec 2013 @ Indonesia, Banyuwangi	#12

Originally Posted by rcolistete

Second release of NumPy 1.8.2 for MeeGo Harmattan, now you can install it using Warehouse by tapping the "Install" button (no need of Terminal and 'apt-get install'). And NumPy after installation is visible in MeeGo Harmattan Application Manager.

See 1st post.

i did it ...
But when i open Python Notebook. It says Not found runable browser ...
~ # HELLLPPP

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any Question? ask here and Follow first @irulestar

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rcolistete	2014-09-27 , 11:00
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#13

Originally Posted by irulestar

i did it ...
But when i open Python Notebook. It says Not found runable browser ...
~ # HELLLPPP

Answered in SymPy topic.

Please post IPython issues in IPython topic for MeeGo Harmattan.

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rcolistete	2014-09-27 , 11:21
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#14

NumPy latest version, 1.9.0 (07/09/2014), is released for MeeGo Harmattan. The version 1.9.0 of NumPy has many new features.

You can install NumPy 1.9.0 for MeeGo Harmattan using Warehouse by tapping the "Install" button (no need of Terminal and 'apt-get install'). And NumPy 1.9.0 after installation is visible in MeeGo Harmattan Application Manager. See first post updated.

I've also packaged Cython 0.19.1 (11/05/2013) to make possible compile and package NumPy 1.9.0. It is available in OpenRepos.net and in my Harmattan repository.

Last edited by rcolistete; 2014-09-27 at 12:23.

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rcolistete	2014-09-29 , 05:05
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#15

SciPy, which is a NumPy supplement, is also available for MeeGo Harmattan in version 0.14.0.

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rcolistete	2014-10-11 , 22:18
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#16

Benchmark of Python & NumPy on some mobile devices :
- XPS15 : Dell XPS 15 L502X, Core i7 2670QM 4 cores @ 2.2-3.1 GHz, 1+6 MB cache L2/L3, 8GB RAM DDR3 1,333 MHz, 1TB 5,400 RPM SATA hard drive. Ubuntu 12.04 64 bits, Python 2.7.3, NumPy 1.6.1;
- A1215B : Asus 1215B, AMD C-50 2 cores @ 1.0GHz, 1 MB cache L2, 2GB RAM DDR3 1,066 MHz, 320 GB 5,400 RPM SATA hard drive. Ubuntu 14.04 64 bits, Python 2.7.6, NumPy 1.8.2;
- A1005HA : Asus 1005HA, Atom N270 @ 1.6 GHz, 512 KB cache L2, 2GB RAM DDR2 667 MHz, 250 GB 5,400 RPM SATA hard drive. XUbuntu 14.04 32 bits, Python 2.7.6, NumPy 1.8.2;
- TF101 : Asus Transformer TF101, Tegra 2, 2 cores Cortex A9 @ 1.0 GHz, 1 GB RAM LPDDR2 600 MHz, 1MB cache L2, Android 4.0.3. Python 2.7.2, NumPy 1.3.0 from QPython;
- Nexus4 : LG Nexus 4, Qualcomm APQ8064 Snapdragon 4 cores Krait @ 1.5 GHz, 2GB RAM. Sailfish 1.0.8.19, Python 2.7.5, NumPy 1.9.0;
- Jolla : Jolla smartphone, Qualcomm Snapdragon S4 Plus MSM8930 2 cores Krait @ 1.5 GHz, 1GB RAM. Sailfish 1.0.8.19, Python 2.7.5, NumPy 1.9.0;
- N9 : Nokia N9, TI OMAP 3630 ARM Cortex A8 @ 1.0 GHz, 1GB RAM. MeeGo Harmattan, Python 2.6.6, Numpy 1.9.0;
- N900 : Nokia N900, TI OMAP 3430 ARM Cortex A8 @ 600 MHz, 256 MB RAM. Maemo 5, Python 2.5.4, NumPy 1.4.0;
- N810 : Nokia N810, TI OMAP 2420 ARM11 @ 400 MHz, 128 MB RAM. Maemo 4, Python 2.5.2. Easy Debian with Python 2.6.6, NumPy 1.4.1.

1) mu0.py (pure Python calculation of 10^3 mu0 used in SNe Ia cosmology) :
XPS15 : 0.838 s
A1215B : 4.17 s
A1005HA : 5.15 s
TF101 : 9.72 s
Nexus4 : 7.26 s
Jolla : 7.83 s
N9 : 15.4 s
N900 : 29.5 s
N810 : 164 s / 132 s (Easy Debian)

2) mu0_NumPy.py (Python/NumPy calculation of 10^3 mu0 used in SNe Ia cosmology) :
XPS15 : 0.0666 s
A1215B : 0.322 s
A1005HA : 0.515 s
TF101 : 2.23 s
Nexus4 : 0.463 s
Jolla : 0.453 s
N9 : 1.10 s
N900 : 1.93 s
N810 : 13.5 s (Easy Debian)

3) NumPy dot product of two 1000x1000 matrices :

Code:

import time
t1=time.time(); from numpy import *; t2=time.time()
print "NumPy import : %f s" % (t2-t1)
a = random.random_sample((1000,1000))
b = random.random_sample((1000,1000))
c = dot(a,b)
t3=time.time();
print "NumPy dot 1000x1000 : %f s" % (t3-t2)

XPS15 : 0.823 s
A1215B : 7.62 s
A1005HA : 9.84 s
TF101 : 138 s
Nexus4 : 47.3 s
Jolla : 45.1 s
N9 : 77.8 s
N900 : 115 s
N810 : 508 s (Easy Debian)

4) NumPy FFT of a vector (10^6 elements) :

Code:

import time
t1=time.time()
from numpy import *
t2=time.time()
print "NumPy import : %f s" % (t2-t1)
d = linspace(0, 1e3, 1e6)
t3=time.time();
print "NumPy linspace 10**6 : %f s" % (t3-t2)
fft.fft(d)
t4=time.time()
print "NumPy FFT 10**6 : %f s" % (t4-t3)

XPS15 : 0.105 s
A1215B : 0.682 s
A1005HA : 1.03 s
TF101 : 7.35 s
Nexus4 : 0.896 s
Jolla : 0.895 s
N9 : 3.98 s
N900 : 6.79 s
N810 : 51.7 s (Easy Debian)

Conclusions from the above Python & NumPy calculations :
- mu0 using NumPy is 11-14x faster than mu0 with pure Python;
- Nexus 4 and Jolla smartphones with Sailfish have almost the same calculation speed, using 1 CPU core;
- Jolla is 0.7-3.5x faster than N9;
- Jolla is 1.5-6.5x faster than N900;
- Jolla is 10-57x faster than N810;
- N9 @ 1.0 GHz is 48-91% faster than N900 @ 600 MHz, greater than 66.67% expected by clock only;
- N9 is 5-12x faster than N810;
- N900 is 3-6x faster than N810;
- Asus Transformer TF101 (an Android tablet from 2011) has Python 19% slower than Jolla and NumPy 8%-16% slower than N900;
- Asus 1005HA (a netbook released in October 2008) with Atom N270 @ 1.6 GHz CPU is -15% to 3.6x faster than Jolla, 1.1-6.9x faster than N9, 2.7-11x faster than N900, 25-51x faster than N810;
- Asus 1215B (a low-end notebook in 2012) with AMD C-50AMD C-50 CPU is 31%-5x faster than Jolla, 2.4-9x faster than N9, 5-14x faster than N900, 31-75x faster than N810;
- Dell XPS 15 L502X (a high-end notebook in 2012) with Core i7 2670QM CPU is 6-54x faster than Jolla, 16-94x faster than N9, 28-139x faster than N900, 157-616x faster than N810.

See also benchmark of Python & SciPy on some mobile devices.

Last edited by rcolistete; 2014-10-22 at 21:29. Reason: Updated/added timings for Asus 1005HA

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rcolistete	2014-11-02 , 18:39
Posts: 1,269 \| Thanked: 3,961 times \| Joined on May 2011 @ Brazil	#17

NumPy 1.9.1 (02/11/2014), a bugfix only release, is available in the same day for MeeGo Harmattan. Refresh the repositories in Warehouse to see this update.

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