What is difference between MSP430 and MSP430X? - embedded

Any comparison table available?

The basic change for the 430X architecture was to introduce a 20 bit address range to allow addressing outside the 64K available on the original 430 devices. There are a new set of instructions that operate on the 20 bit address in parallel with the old style 16 bit instructions. e.g.
CALL ; takes a 16 bit address
CALLA ; takes a 20 bit address
PUSH ; Push the bottom 16 bits of a register onto the stack
PUSHA ; Push the full 20 bit register
The existing code compiled for a 430 based processor will run within the bottom 64K address space of the 430X processor. In the development tools (IAR and probably Rowley) you can specify a memory model so that the longer function calls and other 430X specific instructions are not generated if you ensure that your code does not cross the 64K boundary.

Wikipedia's usually good for this sort of thing. It looks like it's to increase the address space to 1MB on the X from 64K on the regular.
http://en.wikipedia.org/wiki/MSP430#MSP430X_20-bit_extension

The MSP430X extension has only 20 bit address space. So the CALLA takes only a 20 bit address.

Related

Accessing a combination of ports by adding both their offsets to a base address. How would this work?

Context: I am following an embedded systems course https://www.edx.org/course/embedded-systems-shape-the-world-microcontroller-i
In the lecture on bit specific addressing they present the following example on a "peanut butter and jelly port".
Given you a port PB which has a base address of 0x40005000 and you wanted to access both port 4 and port 6 from PB which would be PB6 and PB4 respectively. One could add the offset of port 4(0x40) and port 6(0x100) to the base address(0x40005000) and define that as their new address 0x40005140.
Here is where I am confused. If I wanted to define the address for PB6 it would be base(0x40005000) + offset(0x100) = 0x40005100 and the address for PB4 would be base(0x40005000) + offset(0x40) = 0x40005040. So how is it that to access both of them I could use base(0x40005000) + offset(0x40) + offset(0x100) = 0x40005140? Is this is not an entirely different location in memory for them individually?
Also why is bit 0 represented as 0x004. In binary that would be 0000 0100. I suppose it would represent bit 0 if you disregard the first two binary bits but why are we disregarding them?
Lecture notes on bit specific addressing:
Your interpretation of how memory-mapped registers are addressed is quite reasonable for any normal peripheral on an ARM based microcontroller.
However, if you read the GPIODATA register definition on page 662 of the TM4C123GH6PM datasheet then you will see that this "register" behaves very differently.
They map a huge block of the address space (1024 bytes) to a single 32-bit register. This means that bits[9:2] of the the address bus are not needed, and are in fact overloaded with data. They contain the mask of the bits to be updated. This is what the "offset" calculation you have copied is trying to describe.
Personally I think this hardware interface could be a very clever way to let you set only some of the outputs within a bank using a single atomic write, but it makes this a very bad choice of device to use for teaching, because this isn't the way things normally work.

How 16 bit array needs 5 bit address (Xilinx Vivado HLS)?

I am novice in Xilinx HLS. I am following tutorial ug871-vivado-high-level-synthesis-tutorial.pdf(page 77).
The code is
#define N 32
void array_io (dout_t d_o[N], din_t d_i[N])
{
//..do something
}
After synthesis, I got report like
I am confused that how the width of the address port has been automatically sized match to the number of addresses that must be accessed (5-bit for 32 addresses)?
Please help.
From the UG871, it seems that the size of the array is from 0 to 16 samples, hence you need 32 addresses to access all values (see Figure 69). I guess that the number N is somewhere limited to be less than 32 (or be exactly 16). This means that Vivado knows this limitation, and generates only as many address bits as are needed. Most synthesis tools check the constraints on size and optimize unnecessary code away.
When you synthetise a function you create, also, some registers to store the variables. It means that the address that you put as input is the one of the data that you are concurrently writing in d_o or d_in.
In your case, where N=32, you have 32 different variables (in both input and output). To adress 32 different variables you need 32 different combination of bit (to point to a specific one, without ambiguity). With 5 bit you have 2^5=32 different combination of addresses: the minimum number of bit to address all your data.
For instance if you have 32
The address number of bit is INDIPENDENT from the size of data (i.e. they can be int, float, char, short, double, arbitrary precision and so on)

Writing .hex file to Internal FlashROM of 8051 microcontroller using SPI bus

I am doing a firmware upgrade using SPI bus on EEPROM as well as Internal ROM of 8051, basically writing a .hex file on both these memory devices.I am able to see .hex file written there.I am able to see slave and master are communicating properly, but not able to write anything on my memory devices.
If you have suggestions and if you have faced similar problems, please let me know where is the actual problem.
Any inputs would be welcomed.
Regards,
Ravi
I think more information will likely be required. In any case, here a few pitfalls I could see:
Hex Files are not necessarily memory images. The 8051s I've worked with usually use Intel Hex which is an ASCII format that describes the memory. The format is well documented here.
If you're having trouble writing to the EEPROM, you may not be writing the proper instructions. Typically, SPI EEPROM will be Byte addressed, but still has paging internally. You should start your writes on a Page boundary and write the whole page, then issue another write command, etc. By convention if you overrun a page, or start in the middle of a page it will loop around. So if your page is 8 bytes long, and you start writing 0-7 starting at index 4, you'll get:
Page Start: Index 0 = 4
Index 1 = 5
Index 2 = 6
Index 3 = 7
Index 4 = 0
Index 5 = 1
Index 6 = 2
Index 7 = 3
Most EEPROMs have locking mechanisms to prevent accidental writes once they are finalized. If the lock has been set, you will need to write an unlocking method (this will be detailed in the data sheet if it has it)
To further help you, please reference part numbers and better yet Data Sheets if you can.

Assembly code for optimized bitshifting of a vector

i'm trying to write a routine that will logically bitshift by n positions to the right all elements of a vector in the most efficient way possible for the following vector types: BYTE->BYTE, WORD->WORD, DWORD->DWORD and WORD->BYTE (assuming that only 8 bits are present in the result). I would like to have three routines for each type depending on the type of processor (SSE2 supported, only MMX suppported, only standard instruction se supported). Therefore i need 12 functions in total.
I have already found by myself how to backup and restore the registers that i need, how to make a loop, how to copy data into regular registers or MMX registers and how to shift by 1 position logically.
Because i'm not familiar with assembly language that's about it.
Which registers should i use for each instruction set?
How will the availability of the large vector (an image) in L1 cache be optimized?
How do i find the next element of the vector (a pointer kind of thing), i know i can make a mov by address and i assume i have to increment the address by 1, 2 or 4 depending on my type of data?
Although i have all the ideas, writing the code is a bit difficult at this point.
Thank you.
Arnaud.
Edit:
Here is what i'm trying to do for MMX for a shift by 1 on a DWORD:
__asm("push mm"); // backup register
__asm("push cx"); // backup register
__asm("mov %cx, length"); // initialize loop
__asm("loopstart_shift1:"); // start label
__asm("movd %xmm0, r/m32"); // get 32 bits data
__asm("psrlq %xmm0, 1"); // right shift 32 bits data logically (stuffs 0 on the left) by 1
__asm("mov r/m32,%xmm0"); // set 32 bits data
__asm("dec %cx"); // decrement index
__asm("cmp %cx,0");
__asm("jnz loopstart_shift1");
__asm("pop cx"); // restore register
__asm("pop mm"); // restore register
__asm("emms"); // leave MMX state
I strongly suggest you pause and take a look at using intrinsics with C or C++ instead of trying to write raw asm - that way the C/C++ compiler will take care of all the register allocation, instruction scheduling and general housekeeping tasks and you can just focus on the important parts, e.g. instead of using psrlq see _m_psrlq in mmintrin.h. (Better yet, look at using 128 bit SSE intrinsics.)
Sounds like you'd benefit from either using or looking into BitMagic's source. its entirely intrinsics based too, which makes its far more portable (though from the looks of it your using GCC, so it might have to get an MSVC to GCC intrinics mapping).

What are the most hardcore optimisations you've seen?

I'm not talking about algorithmic stuff (eg use quicksort instead of bubblesort), and I'm not talking about simple things like loop unrolling.
I'm talking about the hardcore stuff. Like Tiny Teensy ELF, The Story of Mel; practically everything in the demoscene, and so on.
I once wrote a brute force RC5 key search that processed two keys at a time, the first key used the integer pipeline, the second key used the SSE pipelines and the two were interleaved at the instruction level. This was then coupled with a supervisor program that ran an instance of the code on each core in the system. In total, the code ran about 25 times faster than a naive C version.
In one (here unnamed) video game engine I worked with, they had rewritten the model-export tool (the thing that turns a Maya mesh into something the game loads) so that instead of just emitting data, it would actually emit the exact stream of microinstructions that would be necessary to render that particular model. It used a genetic algorithm to find the one that would run in the minimum number of cycles. That is to say, the data format for a given model was actually a perfectly-optimized subroutine for rendering just that model. So, drawing a mesh to the screen meant loading it into memory and branching into it.
(This wasn't for a PC, but for a console that had a vector unit separate and parallel to the CPU.)
In the early days of DOS when we used floppy discs for all data transport there were viruses as well. One common way for viruses to infect different computers was to copy a virus bootloader into the bootsector of an inserted floppydisc. When the user inserted the floppydisc into another computer and rebooted without remembering to remove the floppy, the virus was run and infected the harddrive bootsector, thus permanently infecting the host PC. A particulary annoying virus I was infected by was called "Form", to battle this I wrote a custom floppy bootsector that had the following features:
Validate the bootsector of the host harddrive and make sure it was not infected.
Validate the floppy bootsector and
make sure that it was not infected.
Code to remove the virus from the
harddrive if it was infected.
Code to duplicate the antivirus
bootsector to another floppy if a
special key was pressed.
Code to boot the harddrive if all was
well, and no infections was found.
This was done in the program space of a bootsector, about 440 bytes :)
The biggest problem for my mates was the very cryptic messages displayed because I needed all the space for code. It was like "FFVD RM?", which meant "FindForm Virus Detected, Remove?"
I was quite happy with that piece of code. The optimization was program size, not speed. Two quite different optimizations in assembly.
My favorite is the floating point inverse square root via integer operations. This is a cool little hack on how floating point values are stored and can execute faster (even doing a 1/result is faster than the stock-standard square root function) or produce more accurate results than the standard methods.
In c/c++ the code is: (sourced from Wikipedia)
float InvSqrt (float x)
{
float xhalf = 0.5f*x;
int i = *(int*)&x;
i = 0x5f3759df - (i>>1); // Now this is what you call a real magic number
x = *(float*)&i;
x = x*(1.5f - xhalf*x*x);
return x;
}
A Very Biological Optimisation
Quick background: Triplets of DNA nucleotides (A, C, G and T) encode amino acids, which are joined into proteins, which are what make up most of most living things.
Ordinarily, each different protein requires a separate sequence of DNA triplets (its "gene") to encode its amino acids -- so e.g. 3 proteins of lengths 30, 40, and 50 would require 90 + 120 + 150 = 360 nucleotides in total. However, in viruses, space is at a premium -- so some viruses overlap the DNA sequences for different genes, using the fact that there are 6 possible "reading frames" to use for DNA-to-protein translation (namely starting from a position that is divisible by 3; from a position that divides 3 with remainder 1; or from a position that divides 3 with remainder 2; and the same again, but reading the sequence in reverse.)
For comparison: Try writing an x86 assembly language program where the 300-byte function doFoo() begins at offset 0x1000... and another 200-byte function doBar() starts at offset 0x1001! (I propose a name for this competition: Are you smarter than Hepatitis B?)
That's hardcore space optimisation!
UPDATE: Links to further info:
Reading Frames on Wikipedia suggests Hepatitis B and "Barley Yellow Dwarf" virus (a plant virus) both overlap reading frames.
Hepatitis B genome info on Wikipedia. Seems that different reading-frame subunits produce different variations of a surface protein.
Or you could google for "overlapping reading frames"
Seems this can even happen in mammals! Extensively overlapping reading frames in a second mammalian gene is a 2001 scientific paper by Marilyn Kozak that talks about a "second" gene in rat with "extensive overlapping reading frames". (This is quite surprising as mammals have a genome structure that provides ample room for separate genes for separate proteins.) Haven't read beyond the abstract myself.
I wrote a tile-based game engine for the Apple IIgs in 65816 assembly language a few years ago. This was a fairly slow machine and programming "on the metal" is a virtual requirement for coaxing out acceptable performance.
In order to quickly update the graphics screen one has to map the stack to the screen in order to use some special instructions that allow one to update 4 screen pixels in only 5 machine cycles. This is nothing particularly fantastic and is described in detail in IIgs Tech Note #70. The hard-core bit was how I had to organize the code to make it flexible enough to be a general-purpose library while still maintaining maximum speed.
I decomposed the graphics screen into scan lines and created a 246 byte code buffer to insert the specialized 65816 opcodes. The 246 bytes are needed because each scan line of the graphics screen is 80 words wide and 1 additional word is required on each end for smooth scrolling. The Push Effective Address (PEA) instruction takes up 3 bytes, so 3 * (80 + 1 + 1) = 246 bytes.
The graphics screen is rendered by jumping to an address within the 246 byte code buffer that corresponds to the right edge of the screen and patching in a BRanch Always (BRA) instruction into the code at the word immediately following the left-most word. The BRA instruction takes a signed 8-bit offset as its argument, so it just barely has the range to jump out of the code buffer.
Even this isn't too terribly difficult, but the real hard-core optimization comes in here. My graphics engine actually supported two independent background layers and animated tiles by using different 3-byte code sequences depending on the mode:
Background 1 uses a Push Effective Address (PEA) instruction
Background 2 uses a Load Indirect Indexed (LDA ($00),y) instruction followed by a push (PHA)
Animated tiles use a Load Direct Page Indexed (LDA $00,x) instruction followed by a push (PHA)
The critical restriction is that both of the 65816 registers (X and Y) are used to reference data and cannot be modified. Further the direct page register (D) is set based on the origin of the second background and cannot be changed; the data bank register is set to the data bank that holds pixel data for the second background and cannot be changed; the stack pointer (S) is mapped to graphics screen, so there is no possibility of jumping to a subroutine and returning.
Given these restrictions, I had the need to quickly handle cases where a word that is about to be pushed onto the stack is mixed, i.e. half comes from Background 1 and half from Background 2. My solution was to trade memory for speed. Because all of the normal registers were in use, I only had the Program Counter (PC) register to work with. My solution was the following:
Define a code fragment to do the blend in the same 64K program bank as the code buffer
Create a copy of this code for each of the 82 words
There is a 1-1 correspondence, so the return from the code fragment can be a hard-coded address
Done! We have a hard-coded subroutine that does not affect the CPU registers.
Here is the actual code fragments
code_buff: PEA $0000 ; rightmost word (16-bits = 4 pixels)
PEA $0000 ; background 1
PEA $0000 ; background 1
PEA $0000 ; background 1
LDA (72),y ; background 2
PHA
LDA (70),y ; background 2
PHA
JMP word_68 ; mix the data
word_68_rtn: PEA $0000 ; more background 1
...
PEA $0000
BRA *+40 ; patched exit code
...
word_68: LDA (68),y ; load data for background 2
AND #$00FF ; mask
ORA #$AB00 ; blend with data from background 1
PHA
JMP word_68_rtn ; jump back
word_66: LDA (66),y
...
The end result was a near-optimal blitter that has minimal overhead and cranks out more than 15 frames per second at 320x200 on a 2.5 MHz CPU with a 1 MB/s memory bus.
Michael Abrash's "Zen of Assembly Language" had some nifty stuff, though I admit I don't recall specifics off the top of my head.
Actually it seems like everything Abrash wrote had some nifty optimization stuff in it.
The Stalin Scheme compiler is pretty crazy in that aspect.
I once saw a switch statement with a lot of empty cases, a comment at the head of the switch said something along the lines of:
Added case statements that are never hit because the compiler only turns the switch into a jump-table if there are more than N cases
I forget what N was. This was in the source code for Windows that was leaked in 2004.
I've gone to the Intel (or AMD) architecture references to see what instructions there are. movsx - move with sign extension is awesome for moving little signed values into big spaces, for example, in one instruction.
Likewise, if you know you only use 16-bit values, but you can access all of EAX, EBX, ECX, EDX , etc- then you have 8 very fast locations for values - just rotate the registers by 16 bits to access the other values.
The EFF DES cracker, which used custom-built hardware to generate candidate keys (the hardware they made could prove a key isn't the solution, but could not prove a key was the solution) which were then tested with a more conventional code.
The FSG 2.0 packer made by a Polish team, specifically made for packing executables made with assembly. If packing assembly isn't impressive enough (what's supposed to be almost as low as possible) the loader it comes with is 158 bytes and fully functional. If you try packing any assembly made .exe with something like UPX, it will throw a NotCompressableException at you ;)