ANdroidA few Benchmarks

Alberto Mancini - Francesca Tosi 15 Aprile 2014

HTM

L5 D

ev

alberto@jooink.com

http://github.com/jooink

http://www.jooink.com

http://jooink.blogspot.com

It ju

st w

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t rea

dy

Si riferiva a FB su mobile che era web based e stava facendo la prima intervista “After the company’s continuous stock price drop” (ndr)

http://mashable.com/2012/09/11/mark-zuckerberg-post-ipo-interview/

fast

book

http://www.sencha.com/blog/the-making-of-fastbook-an-html5-love-story

fastbook, Sencha’s fb demo client

"... is really promising, but it is running in the “browser”. When you make an “installable” app, you can only use WebView, which is a second-class and slower browser."

It's a technology demo that shows what developers can do with HTML5 if they take the right approach, and use the right frameworks and tools

(*)W

ebA

pps ● cached

● offline capable ● mobile-webapp-capable● Homescreen-installed● hosted app● packaged app

https://developers.google.com/chrome/apps/

https://developer.mozilla.org/en-US/Apps/Build/installable_apps

secondo alcuni sono una liberazione dai marketplace (i.e. Google Play & AppStore)

secondo alcuni tra l’altro alcune tecnologie vengono ritardate dai produttori per non perdere il potere che viene dai marketplace

GW

T/M

GW

T Java to Javascript compilerEmulated JREWidgets

Deferred BindingMultiple BrowsersCompiled Resources...

xché

una codebase e tante 'incarnazioni' dell'applicazione.

Mar

ker B

ased

AR

http://code.google.com/p/gwt-webgl/http://code.google.com/p/gwt-nyartoolkit/

http://picshare.jooink.com

c.a. 25 fps

GW

T-B

oofc

vGWT-Boofcv sample at:http://goo.gl/3IJQgs

GW

T-B

oofc

vGWT-Boofcv sample at:http://goo.gl/3IJQgs

stra

tegy

● native ?● hybrid ?● browser-based ?

Nat

ive,

ND

K capire quanto possiamo guadagnare in termini di performance basandoci su differenti tecnologie

Applicazione Android NDKche usa librerie native

Applicazione Android Javaper Dalvik

Ben

chm

arks

il medesimo algoritmo implementato con tecnologie diverse eseguito sul medesimo dispositivo

Ben

chm

ark In entrambe le applicazioni precedenti una

operazione semplice ma computazionalmente costosa è fare la conversione in grayscale delle immagini

Rul

es RGB jbyte[1024*1024*3]

Average on 1000 runs

grayjbyte[1024*1024]

1

0.299*R+0.587*G+0.114*B → Y2

3

Test

dev

ice Galaxy Tab3

Intel Atom CPU Z25602 core - 1.60 GHz Android 4.4.2Architettura i686

Com

petit

ors Benchmarks on:

Java <byte> NDK <jbyte>IPP <Ipp8u>

Com

petit

ors Benchmarks on:

Java <byte> NDK <jbyte>IPP <Ipp8u>

Intel Integrated Performance Primitives

Com

petit

ors Benchmarks on:

Java <byte> NDK <jbyte>IPP <Ipp8u>Chrome <Uint8Array>Firefox <Uint8Array>Aurora <Uint8Array>

Cod

ice

(Jav

a) Java:void compute(byte[] in, byte[] out) { for(int i=0, j=0; i< out.length; i++, j+=3) out[i] =

(byte)(0.299 * in[j] + 0.587 * in[j+1] + 0.114 * in[j+2]); }

Using FP arithmetics !!

We cannot (at least without asm.js) coherce numbers to integers in js so we chosen not to optimize here.

Det

ails

(ND

K) https://developer.android.com/tools/sdk/ndk/index.html

La documentazione non e’ il punto di forza dell’NDK

https://github.com/jooink/ndk-cpuid

● start the (intel) avd ● enter in the jni folder & execute 'ndk-build'● from the CPUIDApp root dir execute 'ant debug'● adb install -r bin/CPUIdApp-debug.apk

Cod

ice

(C, j

ni) void JNICALL … jbyteArray in, jbyteArray out) {

jsize len_out = (*env)->GetArrayLength(env, out); ... jbyte *body_out = (*env)->GetByteArrayElements(env, out, 0); for(i=0, j=0; i< len_out; i++, j+=3) body_out[i] = (jbyte)(0.299 * body_in[j] + … );

(*env)->ReleaseByteArrayElements(env, in, body_in, 0); ... }

Det

ails

(IPP

) Bundled in BeaconMountain beh … la ‘preview’

http://software.intel.com/en-us/intel-ipp

… ed avete la IPP per android x86 !!!

Scaricate la versione per linux ( la evaluation, or 199$ :( )

Installatela ( vi serve una macchina linux )

Copiate le librerie (*.a) e gli include (*.h) (32bit statici non-threaded)

Cod

ice

(IPP)

… jni ...

IppiSize srcRoi = { 1024, 1024 }; Ipp8u* pSrc = body_in; Ipp8u* pDst = body_out; ippiRGBToGray_8u_C3C1R(pSrc ,1024, pDst, 1024, srcRoi);

… jni ...

Res

ults

nat

ive

Res

ults

nat

ive

minmaxavg

Cod

ice

(js) var len_out = outb.length;

var i,j;for(i=0, j=0; i< len_out; i++, j+=3)

outb[i] = (0.299 * inb[j] + 0.587 * inb[j+1] + 0.114 *inb[j+2]);

var buffer_in = new ArrayBuffer(size*3);var buffer_out = new ArrayBuffer(size);

var inb = new Uint8Array(buffer_in);var out = new Uint8Array(buffer_out);

Res

ults

jsminmaxavg

Gra

zie Francesca Tosi

francesca@jooink.com

Alberto Mancini alberto@jooink.com

Github: github.com/jooink/

www.jooink.comjooink.blogspot.com

Det

ails

(HA

XM) Bundled in BeaconMountain

http://software.intel.com/en-us/android/articles/intel-hardware-accelerated-execution-manager

cambia la vita con le immagini x86

Attenzione pianta OSX, maverickinstallare lo hotfix