I am trying to find the GPU clock speed in Android.
So far no luck. Is that possible at all? I cannot find any instruction in order to get the hardware clock speed.
Android does not provide APIs for low level interaction with the GPU. Depending on the meaning of "Android" it is not entirely clear that there has to even be a GPU - the emulator would be a common example of something that does not, and basic ports to various development boards could be another.
It is possible, though sadly unlikely, that a given device vendor might choose to publicize some low-level programming information. Unfortunately, details of how to work with the GPU tend to be things that they hold quite closely and refuse to disclose - they argue it would give an advantage to their competitors - perhaps, but what it clearly does is prevent open source implementations of accelerated graphics drivers.
Even beyond the availability of information, there is the issue of access permission. The graphics hardware in Android is owned by system components such as surfaceflinger, and on secured devices not really made available for direct interaction by 3rd party application code.
Ultimately though, even if you could find a number it would not mean much. Clock speed of the internal engine does not tell you the number of clock cycles needed to complete an operation, the number of parallel operations which can be in process, what delays are encountered in moving data to/from memory and what caches are available, the efficiency of algorithms, etc. You might be better off benchmarking some performance test.
Related
Well i have read a lot of answers of similar questions (even if they are old from like 2013-2014) and i understood that it is not possible to know it exactly since android doesnt count the hardware usage as usage of the app, and some other possible problems like services etc.
At the moment I'm trying to test the perfomance of an App using a protocol to reach a goal and the perfomance of the same App using another protocol (not well known by everyone) to reach the same goal, the default android battery analyzer is good for me since both cases are like 90% the same and i know how the protocols work
My problem is that i'm not sure which one is the best to measure the mAph consumed by my App, i know that there are some external apps that shows it but i would prefer using the one of default, I believe this is something important not only for me but for other people who might have to compare different protocols.
I know that i can measure it programmatically and I've done it too, i save the percentage when the app is opened and how much has been consumed until it gets closed, but it isnt an exact measure since while the app is opened some other apps can do heavy work and add some kind of noise of what i'm measuring so i would prefer to use the android's battery analyzer.
Get a spare device. Load it completely, then run the protocol until shutdown without other interaction (no youtube or anything), note the time it lasted. Repeat with the other protocol. Imho that is a fair way to compare. Note that every device behaves differently and it may or may not be possible to transfer this result to other devices e.g. with different network chips, processors or even firmware versions.
For a more fair comparison I think you should compare how the protocols work. I.e. number of interactions, payload size etc. because the power consumption can only ever be an estimate.
I'm developing an app that it functionality very similar to Facebook Android native app: social network that most of the time the user will spend in an endless ListView displaying lot's of images, entering an image gallery, and so on.
let's say for the discussion that I'm doing all the right things and best android practices to achieve smooth scroll (recycling views as it should, using different view types when needed, loading to memory only scaled bitmaps in the needed size, caching bitmaps, using ViewHolder design pattern, not blocking th UI thread when its possible and so on...)
let's say also that every thing else in my app written in the best way and following best practices (for the discussion... :->)
my app working not bad at all in that stage, but when
turning on the hardware acceleration, as described and promised in Android Developers documentation it making my app much much more smooth and fast.
let's say that it does not affect in any nagative way on the UI as can happened, and I'm not performing any of the Unsupported Operations
according to Google's document on the subject, only reason I can see not to use this feature (besides all other reasons I already mentioned above) is that it can cause my app to use more RAM. but how much RAM? a lot more? I know that when my app consumes lot's of RAM - it becoming good candidate to be destroyed by the OS when it need to free some memory.
my question is basically -
is it "ok" under my circumstances to use this feature?
what other problems can raise from using it?
TIA
To use or not to use
It is advised to use hardware acceleration only if you have complex custom computations for scaling, rotating and translating of images, but do not use it for drawing lines or curves (and other trivial operations) (source).
If you plan on having common transitions and also given that you have already considered scaling, recycling, caching etc, than it may not make sense to burden your project anymore. Also, any efforts spent reworking your code to support hardware acceleration will not effect users on versions below 3.0, which are ~36% of the market as of May 8, 2013.
Memory
Regarding memory usage (according to this article), by including Android Hardware the application loads up the OpenGL drivers for each process, takes memory usage of roughly 2MB, and boosts it to 8MB.
Other issues
Apart from API versions, I presume it will also affect battery life. Unfortunately there aren't any benchmarks on different use cases online in order to draw a line on this one. Some argue that in given cases because of multiple gpu cores, using acceleration may save battery life. Overall, I think it would be safe that the effect won't be too dramatic (or Google would have made this a major point).
UPDATE
Hardware acceleration is enabled by default if your Target API level
is >=14
I would say yes in your situation, use hardware acceleration.
Seeing that you aren't using any resource intensive controls in your app it should not be a problem to enable Hardware acceleration. As you said your app is working quite well without hardware acceleration.
When you enable hardware acceleration Android will start using your GPU and because of the increased resources required to enable hardware acceleration, your app will consume more RAM.
A frequently asked question is Will the amount of ram increase by a really big amount?
The answer to that will all be determined by :
1. Your programming ability ie. management of the recycling list, scaling of the Images ect.
2. The Device
I wrote a app a while ago that was used to edit really high res bitmaps. I ran into the same problem. I found that on different devices the max amount of ram allocated by the OS when hardware acceleration is enabled varies by device. If your device has more ram the OS will allocate more ram to your app, so you will never find a consistent amount of ram used for your app. The bigger more expensive devices will always run your app on a larger amount of ram.
What other problems can raise by using hardware acceleration?
Hardware acceleration might cause problems for some 2D drawing operations. If you experience this you can enable Hardware Acceleration for only specific activities in your app like stated on the Hardware Acceleration post in the android Developer Docs
The easiest way to enable hardware acceleration is to turn it on globally for your entire application. If your application uses only standard views and Drawables, turning it on globally should not cause any adverse drawing effects. However, because hardware acceleration is not supported for all of the 2D drawing operations, turning it on might affect some of your applications that use custom views or drawing calls. Problems usually manifest themselves as invisible elements, exceptions, or wrongly rendered pixels. To remedy this, Android gives you the option to enable or disable hardware acceleration at the following levels:
Application,
Activity,
Window,
View
This way you can also limit the hardware acceleration in your app but by the sound of it you will need it for most of your apps functions.
Hope this helps
I want to control the aperture, shutter speed and ISO on my android phone. Is there a way in which I can access the hardware features?
I won't say it's impossible to do this, but it IS effectively impossible to do it in a way that's generalizable to all -- or even many -- Android phones. If you stray from the official path defined by the Android API, you're pretty much on your own, and this is basically an embedded hardware development project.
Let's start with the basics: you need a schematic of the camera subsystem and datasheets for everything in the image pipeline. For every phone you intend to support. In some cases, you might find a few phones with more or less identical camera subsystems (particularly when you're talking about slightly-different carrier-specific models sold in the US), and occasionally you might get lucky enough to have a lot of similarity between the phone you care about and a Nexus phone.
This is no small feat. As far as I know, not even NEXUS phones have official schematics released. Popular phones (especially Samsung and HTC) usually get teardowns published, so everyone knows the broad details (camera module, video-encoding chipset, etc), but there's still a lot of guesswork involved in figuring out how it's all wired together.
Make no mistake -- this isn't casual hacking territory. If terms like I2C, SPI, MMC, and iDCT mean nothing to you, you aren't likely to get very far. If you don't literally understand how CMOS image sensors are read serially, and how bayer arrays are used to produce RGB images, you're almost certainly in over your head.
That doesn't mean you should throw in the towel and give up... but it DOES mean that trying to hack the camera on a commercial Android phone probably isn't the best place to start. There's a lot of background knowledge you're going to need in order to pull off a project like this, and you really need to acquire that knowledge from a hardware platform that YOU control & have proper documentation for. Make no mistake... on the hierarchy of "hard" Android software projects, this ranks pretty close to the top of the list.
My suggestion (simplified and condensed a bit): buy a Raspberry Pi, and learn how to light up a LED from a GPIO pin. Then learn how to selectively light up 8 LEDs through an 74HC595 shift register. Then buy a SPI-addressed flash chip on a breakout board, and learn how to write to it. At some point, buy a video image sensor with "serial" (fyi, "serial" != "rs232") interface from somebody like Sparkfun.com & learn how to read it one frame at a time, and dump the raw RGB data to flash. Learn how to use i2c to read and write the camera's control registers. At this point, you MIGHT be ready to tackle the camera in an Android phone for single photos.
If you're determined to start with an Android phone, at least stick to "Nexus" devices for now, and don't buy the phone (if you don't already own it) until you have the schematics, datasheets, and sourcecode in your possession. Don't buy the phone thinking you'll be able to trace the schematic yourself. You won't. At least, not unless you're a grad student and have one hell of a graduate-level electronics lab (with X-Ray capabilities) at your disposal. Most of these chips and modules are micro-BGA. You aren't going to trace them with a multimeter, and every Android camera I'm aware of has most of its low-level driver logic hidden in loadable kernel modules whose source isn't available.
That said, I'd dearly love to see somebody pull a project like this off. :-)
Android has published online training which contain all the information you need:
You can find it here - Media APIs
However, there are limitations, not all hardware's support all kind of parameters.
And if I recall correctly, you can't control the shutter speed and ISO.
There are dual core and now quad core phones in market. However i really don't know what kind of apps does truly makes use of the feature. Can anyone provide some information on the apps that can really make use the power of dual -quad cores in mobile devices.
The idea of having dual,quad or more processing is not for specific apps to use it.
It just means having more processing speed available at hand, which will only be used when completely necessary.
For example, when there is a process that can be handled by one core, which is usually the case for most apps, the other cores aren't necessary. But there are high end games or more than one process that have to be run, which need lots of calculations at a given time, other cores may also be used, if there is room for improvement in the first core.
I want to transplant a 3D program written in OpenGL on windows platform to Android, but I wonder if it can run smoothly on general Android platforms, so i want to estimate how much hardware resource is sufficient for it to run smoothly. It is some kind like the hardware requirements for a software or 3d game that a company will recommend the users. I don't know how can i get a hardware requirements of my program when transplant to Android.
i used gdebugger and it gave me some information but i don't think that is enough for me. Anyone here have some idea or solution? Many thanks in advance!
If your program is simple enough, you could write up some estimates about texture fill rate, which is a pretty basic (and old) metric of rendering performance. Nearly every 3D chip comes with a theoretical fill rate, so you can get the theoretical numbers of both your desktop system and some Android phones.
The texture memory footprint is another thing that you can estimate, especially using gdebugger. Once again, these numbers are known for most chips.
This is a quick way to produce some numbers, obviously without any real life performance guarantees.
The best way would be to test it on an actual device, and get an idea of what hardware works well. You could distribute a beta app and get some feedback too.
Depends on feature set that you use. For example, if you use FBO, the device will have to support framebuffer extension. If you use MSAA, smooth line, the device will have support corresponding extensions.
After listing down your requirements, you can use glGet to check for the device suppport
http://www.opengl.org/sdk/docs/man/xhtml/glGet.xml