TMS320C64x Quick start reference for programmers - interface

Is thare any quickstart guide for programmers for writing DSP-accelerated appliations for TMS320C64x?
I have a program with custom algorythm (not the fft, or usial filtering) and I want to accelerate it using multi-DSP coprocessor. So, how should I modify source to move computation from main CPU to DSPs? What limitations are there for DSP-running code?
I have some experience with CUDA. In CUDA I should mark every function as being host, device, or entry point for device (kernel). There are also functions to start kernels and to upload/download data to/from GPU. There are also some limitations, for device code, described in CUDA Reference manual. I hope, there is an similar interface and a documentation for DSP.

Please consider doing a search "TMS320C64x programmer's guide" - here is what I think is the most appropriate link
focus.ti.com/lit/ug/spru565b/spru565b.pdf
Also check this book - to help you get started (uses the previous generation)
Embedded image processing on the TMS320C6000 DSP : examples in code composer studio and MATLAB

Related

How do I implement matlab code on hardware device to make it run?

My question is quite basic to most appropriate levels on consideration. I lack the perception of how can I dump or implement my matlab code on a hardware component like processors or fpga? For eg:
Suppose I create an image processing matlab (object classification/detection) code which needs to detect real time images from drone and identify whether object is human or animal while its one air through the vision of camera, how shall I proceed to implement this matlab code onto a processor or controller and make it run while the drone is on air?
For consideration, take the matlab code is in its raw form for processing any input data and put out an output classified data. What should I do next? Do I need to convert the matlab code to any hdl or .exe format to run it across the hardware platform or is it possible to implement matlab code(.m format) directly into a device for processing and classification. Basically I am not getting how to practically use matlab code and put it into a system. Do I need to use some sort of toolbox or extension code ?
Could you please list down the steps for this process or share some link of website or youtube videos where it has been shown in detail how to harbour this mechanism.
You could use MATLAB Coder to convert your MATLAB code to an executable that can run on your hardware.
Here are a couple of articles from the official MathWorks documentation regarding Code Generation for Image Processing to get you started:
https://www.mathworks.com/help/images/code-generation-for-image-processing.html
https://www.mathworks.com/help/images/code-generation-with-cell-detection.html

OS kernel which can be modified relatively easily by a beginner

I am new to operating system concept and know little about the things that go on at the root level in an OS. I have been given a project in my university to work on a OS and modify its source code or kernel. The fact is I don't know from where to start. I need a source code of a OS which is relatively small as compared to other OSs. I don't want to go into much detail in an OS but just want to modify some things in that code. can u please tell me which OS can i work on and from where do I begin my programming? I mean whether I need to download a Virtual machine or an emulator of any sorts to test the code that I have modified?
Try xv6. It's based on Sixth Edition Unix (aka V6). You can run it qemu/bochs. Use gdb to see code from boot itself.
It's used by many university for academic purpose. Good Documentation.
Here is the MIT's 6.828 Operating System Engineering course based on xv6 since 2002. The book is split into chapters, each will help you understand the some part of operating system like file system or process management and also explains the xv6 source code side by side, so you don't have to just scan the code to understand by yourself.
The book is really small ~80 pages: xv6 book pdf. You can obtain it's sources via git(1): $ git clone git://pdos.csail.mit.edu/xv6/xv6.git
You can also do lot of simple assignment given in some university.
Cheers

Extensive comparison between SIMULINK and LabVIEW

I am trying to determine which of these two to buy for my work. I have used SIMULINK but not LabVIEW. Is there anyone who has used both and would like to provide some details? My investigation criteria are the user friendliness, availability of libraries and template functions, real-time probing facility, COTS hardware interfacing opportunity, quality of code generation, design for testability (i.e. ease of generating unit/acceptance tests), etc. However, if anyone would like to educate me with more criteria, please do so by all means!
For anyone who does not know about SIMULINK and LabVIEW - These are both Domain-Specific Languages (DSLs) intended for graphical dataflow modelling (and also code generation). These are multi-industrial tools and quite heavily used for engineering design and modelling.
IMPORTANT - I am quite interested to know if SIMULINK and LabVIEW offer real-time probing. For example, I have a model that I want to simulate. If there are variables associated to certain building blocks in that model, could I view them changing as the simulation continues? I know that it is certainly not possible with SIMULINK as it has a step-by-step debugger. I am not aware of anything similar in LabVIEW.
I really have not used LabVIEW and cannot obtain it temporarily as my work internet has got download restrictions and administrative privilege issues. This is the reason why I simply cannot use only NI website to draw conclusions. If there is any white paper available that addresses this issue, I would also love to know :)
UPDATE SINCE LAST POST
I have used MATLAB code generator and will not say that it is the best. However, I hear now that SIMULINK Embedded Coder is the best code generator and almost one of its own kind. Can anyone confirm whether or not this is good for safety critical system design i.e. generating code from safety-critical subsystem models. I know that the Mathworks is constantly trying to close the gap to achieve fully-flexible production-level C/C++ code generation.
I know that an ideal answer would be,"Depending on what you are trying to do, use a bit of both". And interestingly, I think I am heading to that direction. ATEOTD, it is a lot of money and need to be spent "nicely".
Thanks in advance.
I used labVIEW from 1995, and Simulink from 2000. Now I am involved in control system design, and simulation of robotic systems using labVIEW Real Time and automotive ECUs using MATALAB/Simulink/DSPACE .
LabVIEW is focus on measurement systems, and MATLAB/SIMULINK in dynamic simulation, so,
If you run complex simulations, and your work is create/debug complex simulation models of controllers or plants, use Simulink+RealTimeWorkShop+StateFlowChart. LabVIEW has no eficient code generators for dynamic simulation. RTW generates smaller and fastest code.
If your main work is developing systems with controllers and GUI for machines, or you want to deploy the controllers on field, use labVIEW.
If your main work is developing flexible HIL or SIL systems, with a good GUI, you can use VeriStand. Veristand can mix Simulink and LabVIEW code.
And if you have a big budget ( VERY BIG ) and you are working in automotive control prototypes, DSPACE hardware is a very good choice for fast development of automotive ECUS, or OPAL to develope electric power circuits. But only for prototype or HIL testing of controllers.
From the point of view of COTS hardware:
Mathworks donĀ“t manufacture hardware -> Matlab/Simulink support hardware from several vendors.
National Instruments produce/sell hardware->LabVIEW Real Time is focused in support NationalInstruments hardware. There are no COTS full replacement.
I have absolutely no experience with Simulink, so I'll comment only on LV, although a quick read about Simulink on Wikipedia seems to indicate that it's focused mainly on simulation and modelling, which is certainly not the case with LabVIEW.
OK, so first of all, LV is NOT a DSL. While you wouldn't want to use it for any project, it's a general purpose programming language and you should take that into account. I know that NI has a simulation toolkit for LV, which might help you if that's what you're after, but I have absolutely no experience with it. The images I saw of it seemed to indicate that it adds a special kind of diagram to LV for simulation.
Second, LV is not restricted to any kind of hardware. It's a general purpose language, so you can write code which won't use any hardware at all, code which will use or run on NI's hardware or code which will use any hardware (be it through DLL calls, .NET assemblies, RS232, TCP, GPIB or any other option you can think of). There is quite a large collection of LV drivers for various devices and the quality of the driver usually depends on who wrote it.
Third, you can certainly probe in real time in LV. You write your code, just as you would in C or Java, and when you run it, you have several debugging options:
Single stepping. This isn't actually all that common, partially because LV is parallel.
Execution highlighting. This runs the code in slow motion, while showing all the values in the various wires.
Probes, which show you the last value that each wire had, where wires fill the same function that variables do in text based languages. This updates in real time and I assume is what you want.
Retain wire values, which allows you to probe a wire even after data passed through it. This is similar to what you get in text based IDEs with variables. In LV you don't usually have it because wire values are transient, so the value is not kept around unless you explicitly ask for it.
Of course, since you're talking about code, you could also simply write the code to display the values to the screen on a graph or a numeric indicator or to log them to a file, so there should be no need for actual probing. You could also add analysis code, etc.
Fourth, you could try downloading and running LV in a fully functional evaluation mode. If I remember correctly, NI currently gives you 7 days and then 45 days if you register on their site. If you can't do that on a work computer, you could try at home. If your problem is only with downloading, you could try contacting your local NI office and asking them to send you a DVD.
Note that I don't really know anything about modelling and simulation, so I have no idea what kind of code you would actually have to write in order to do what you want. I assume that if NI has a special module for it, then it's not something that you can completely cover in regular code (at least not if you want the original notation), but I would say that if you could write the code that does what you want in C, there's no reason you shouldn't be able to write it in LV (assuming, of course, that you know how to write code in LV).
A lot of the best answer would have to depend on your ultimate design requirements. Are you developing a product? If so, in what stage of development are you? Or are you doing research?
I recently did a comparison just as you are doing. I know LV, but was wanting to move towards a more hardware-scalable option, since NI HW is very expensive in volume. That is, my company was wanting to move towards a product. What LV and NI HW give you is flexibility. You can change code very quickly compared to C. On the other hand, LV does not run on nearly as many different HW platforms as C. So I wanted to find an inexpensive platform that would work well for real-time control and data acquisition, such that if we wanted to sell a product for, say, $30k, our controller wouldn't be costing $15k of that. We ended up with Diamond Systems Linux SBC's. Interestingly, Simulink ended up using the most expensive hardware! It did have a lot of flexibility, and could generate code, as well as model plants and controllers. But then, LV can do that as well.
As Yair wrote, LV has plenty of good debugging tools. One of the more interesting tools that is not so well known is the Suspend when Called option for a SubVI. This allows you to play with the inputs and outputs of a SubVI as much as you want while execution is paused.
MATLAB and Simulink are the defacto standard for control system design and simulation. Simulink controller models can be used for offline simulation in conjunction with plant models, all the way to realtime implementation on embedded targets. It is a general simulation framework with extensive built-in libraries as well as a la carte special purpose libraries, and can be extended through creation of custom blocks (S-function blocks) in C and other languages. It includes the ability to display values in graphs, numeric displays, gages, etc. while a nonrealtime simulation is taking place. Realtime target support from The Mathworks includes x86 (xPC Target) and several embedded targets (MPC555, etc.), and there is 3rd party support for other targets. The aforementioned dSPACE provides complete prototyping controllers including support for their quite powerful hardware. xPC Target includes support for a plethora of COTS PC data acquisition cards. Realtime target support includes GUI elements such as graphs, numeric displays gages, etc.
As I understand it (I have never really used it in anger), LabView only supports NI hardware, and is more hardware-oriented. Simulink supports hardware from multiple vendors, be it for data acquisition, or real-time implementation, but it may require a bit more work for the user to interface to his or her own hardware (less plug & play than LabView). On the other hand, Simulink provides tools to support the whole model-based design process, from modelling & simulation, control design, verification & validation, code generation, hardware-in-the-loop, etc...
Disclaimer: I used to work for MathWorks.
You guys may really be interested in Control Design adn Simulation Module for LabVIEW. It does a lot of simulations and in the future may be competitive to Simulink. I'm not a control engineer but I use it sometimes for simple testing and I'm glad that I don't have to learn Simulink from the beginning to do some work since I'm familiar with LabVIEW philosophy.

MATLAB code for object detection using a webcam?

I am using an Arduino to control a car and I want to make it autonomous by using a webcam to see the object I want and make the car move to this location. I need several things:
MATLAB code
Interface between MATLAB and Arduino
How do I connect between them (software, not hardware)
I need any tutorial to learn or any instructions to make my project. I see many people have done this before, but unfortunately they did not mention how to start these kind of projects.
This question is fairly broad, so I apologize in advance for my somewhat general response.
The easiest way to interface a webcam with MATLAB is to make use of the Image Acquisition Toolbox. This link provides documentation detailing how to do this.
There is a good chance that you'll also want to make use of the Image Processing toolbox in MATLAB to be able to process the acquired images to determine where to go. See this doc. Though, after you've determined more specifically how you plan to process these images, there are probably numerous algorithms that you could find online that would not explicitly require this toolbox.
As far as interfacing with Arduino is concerned, there is a support package from the MathWorks that allows you to interface MATLAB code and Simulink models with Arduino. See this link
The only other general suggestion that I have is to consider using Simulink for this project rather than MATLAB. I feel that the model based approach of Simulink is a much better fit when designing control systems.
I hope that this helps you get things started.

Linux kernel device driver programming [closed]

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I want to learn linux kernel device driver programming. So can anyone please post good tutorials pages or links here. I am new to linux kernel environment. I have searched for it but I don't know how to start and which one to read for easy understanding basics. Thanks in advance.
Depends on your current skills. If you're really new to Linux, perhaps you should start with user space system programming with Advanced Linux Programming. You'll get good knowledge of Unix system calls and other concepts such as signals, processes/threads and so on with this free resource. This is a must (understanding the user space API) if you're developing on the kernel side since the role of a kernel is providing services to users in a secure way.
Otherwise one often cited book is Linux Device Drivers, Third Edition (LDD3). Keep in mind that this edition was written at the time of Linux 2.6.10 and some things changed since then. This article shows the differences as 2.6 evolved (until 2.6.31, that is, so not very useful). I should mention martinezjavier/ldd3, which contains example drivers of LDD3 updated for more recent kernels (thanks to 42n4 for pointing that out).
Another interesting book that's not as often cited is Essential Linux Device Drivers. You won't find a free version of this one, but it still features an interesting approach. What I like about this one is it covers lots of different device types and is up-to-date as of 2.6.24, which is a bit better than LDD.
Finally, one great book about the kernel itself (not specifically for drivers) is Understanding the Linux Kernel, 3rd Edition. This covers in-depth kernel facilities and internal mechanisms. It's up-to-date as of 2.6.11.
As for online tutorials, I found this post on Pete's Blog is a really great example. Not only does it show how to create a character device (the most easy kernel driver type, i.e. the one you should start with), it uses modern Linux kernel features in an easy to understand fashion, including:
use of udev
use of a kernel data structure (FIFO)
use of kernel synchronization (mutex)
use of Sysfs with custom attributes
module options for insmod
Plus: it's aimed at Linux 3.0, which means it's more up-to-date compared to other resources.
You might also like this post about how to create Sysfs entries manually, although the Linux device model will take care of registering your device as a Sysfs entry if you don't need additional nodes or attributes.
Edit: I should add that the best way to learn real Linux device driver programming is to look at actual drivers. There are thousands of drivers in drivers. Start reading and understanding the concept of simple ones like drivers/leds and you will see how rewarding this is.
The site with very important links:
http://elinux.org/Device_drivers
Great tutorial with real examples (ends with an usbpen formatted with our own file system - search for author further articles):
http://www.linuxforu.com/tag/linux-device-drivers-series/
http://sysplay.in/index.php?pagefile=lfy_articles
Source code of famous LDD3 book ported to newest kernels:
https://github.com/martinezjavier/ldd3/
Videos:
https://www.youtube.com/playlist?list=PL16941B715F5507C5
Maybe other cources:
http://www.skilledup.com/courses?keyword=linux+kernel&price_filter=0..0
Some examples:
http://www.staerk.de/thorsten/index.php/My_Tutorials/Writing_Linux_kernel_modules
http://www.freesoftwaremagazine.com/articles/drivers_linux
http://techblog.aasisvinayak.com/kernel-module-programming-tutorial/
http://www.linuxforu.com/2009/05/a-voyage-to-the-kernel-day-11/
Books (without mentioned in this thread LDD3):
http://www.coopj.com/ with an updated source code http://www.coopj.com/LPD/
KernelHacking:
http://kernelnewbies.org/KernelHacking
Visual map of the linux kernel: http://www.makelinux.net/kernel_map/
Linux and kernel books for beginners:
http://www.kroah.com/lkn/
http://swift.siphos.be/linux_sea/
You might be interested in the newly released Linux Driver Templates. As the name suggests, it provides templates and demonstrates frequently used Linux facilities to get started quickly.
I understand it is a delayed response !!
You can pick any book, those are really great books suggested above.
But you need to really work practically. Try to be involved into Kernel as much as possible.
Mostly you need to look into kernel source code itself.
And the most interesting document you can find in Documentation folder under Kernel tree.
best book for learning device driver programming is
"LDD"
Professional Linux Kernel Architecture is a good read also.
The best source is the linux man pages but they are somewhat critical to understand for a beginner, Directly programming device drivers is not a easy task. I recommend you to go through pointers and structures through following books
Basic C Books 1. Programming C - Byron gottfried 2. The C Programming Language - Dennis Ritchie
Intermediate Books 1. Pointers on C Kenneth Reek 2. Expert C Programming Deep Secrets - Linden
Coming to device Drivers I have uploaded the Kernel Source documentation in pdf format https://drive.google.com/folderview?id=0B7iRyndFhHldR3hjOHpOZTdKTjA&usp=sharing Youcan download from this link.
Device Drivers Basics (User mode Programming)
Linux Programming interface - Michael Kerrisk
Beginning Linux Programming Wrox Publishers
Device Drivers (Kernel Deleopment) 1. Linux Kernel Development - Robert Love 2. Linux Kernel Internals - m beck
Device Drivers (Driver Programming) 1. Linux Device Drivers - Third Edition (Free Download is available for 2.6 Kernel) 2. Essential Linux Device Drivers - Venkateswaran
For Basic Driver Knowledge Follow this site http://www.tldp.org/LDP/khg/HyperNews/get/devices/devices.html
My Experience is First of all we must gain a sound knowledge on C Programming, mainly Structures and Pointers before going through Driver Programming otherwise it will be bit cumbersome to understand driver programming.
Comming to Startup :-
User space programming
Basics of gcc generating proprocessed, assembler and object files using gcc commands analysis of object files using different object tools, Basic programming in linux, threads(locks, synchronization techniques), signals, processes(fork, exec), timers(Posix). This will help you lot in understanding kernel concepts.
Kernel Programming
Understanding the kernel source tree, different branches and their importance, using ctags and cscope to browse kernel source code, this will help you in kernel source browsing.
Driver Programming
First of all Learn different driver classes, char, block etc.,
Next learn the device protocols, transmission and reception, the product manual is the best source for going through this.
Then start writing the simple char driver for example RTC (a port mapped device), IOAPIC (A memory mapped device), then go to USB, PCI, Network, I2C, SPI etc., if you want the help you can find the skeleton code for all this in kernel source tree.