The use of volatile is poorly understood by many programmers. This is not surprising, as most C texts dismiss it in a sentence or two. Have you experienced any of the following in your C/C++ embedded code? * Code that works fine-until you turn optimization on * Code that works fine-as long as interrupts are disabled * Flaky hardware drivers * Tasks that work fine in isolation-yet crash when another task is enabled If you answered yes to any of the above, it's likely that you didn't use the C keyword volatile. You aren't alone. The use of volatile is poorly understood by many programmers. This is not surprising, as most C texts dismiss it in a sentence or two. volatile is a qualifier that is applied to a variable when it is declared. It tells the compiler that the value of the variable may change at any time-without any action being taken by the code the compiler finds nearby. The implications of this are quite serious. However, before we examine them, let's take a look at the syntax. Syntax To declare a variable volatile, include the keyword volatilebefore or after the data type in the variable definition. For instance both of these declarations will declare foo to be a volatile integer: volatile int foo;
int volatile foo; Now, it turns out that pointers to volatile variables are very common. Both of these declarations declare foo to be a pointer to a volatile integer: volatile int * foo;
int volatile * foo; Volatile pointers to non-volatile variables are very rare (I think I've used them once), but I'd better go ahead and give you the syntax: int * volatile foo;And just for completeness, if you really must have a volatile pointer to a volatile variable, then: int volatile * volatile foo; Finally, if you apply volatile to a struct or union, the entire contents of the struct/union are volatile. If you don't want this behavior, you can apply the volatile qualifier to the individual members of the struct/union. Use A variable should be declared volatile whenever its value could change unexpectedly. In practice, only three types of variables could change: * Memory-mapped peripheral registers * Global variables modified by an interrupt service routine * Global variables within a multi-threaded application Peripheral registers Embedded systems contain real hardware, usually with sophisticated peripherals. These peripherals contain registers whose values may change asynchronously to the program flow. As a very simple example, consider an 8-bit status register at address 0x1234. It is required that you poll the status register until it becomes non-zero. The nave and incorrect implementation is as follows: UINT1 * ptr = (UINT1 *) 0x1234; // Wait for register to become non-zero.
while (*ptr == 0);
// Do something else. This will almost certainly fail as soon as you turn the optimizer on, since the compiler will generate assembly language that looks something like this: mov ptr, #0x1234 mov a, @ptr loop bz loop The rationale of the optimizer is quite simple: having already read the variable's value into the accumulator (on the second line), there is no need to reread it, since the value will always be the same. Thus, in the third line, we end up with an infinite loop. To force the compiler to do what we want, we modify the declaration to: UINT1 volatile * ptr =
(UINT1 volatile *) 0x1234; The assembly language now looks like this: mov ptr, #0x1234
loop mov a, @ptr
bz loop The desired behavior is achieved. Subtler problems tend to arise with registers that have special properties. For instance, a lot of peripherals contain registers that are cleared simply by reading them. Extra (or fewer) reads than you are intending can cause quite unexpected results in these cases. Interrupt service routines Interrupt service routines often set variables that are tested in main line code. For example, a serial port interrupt may test each received character to see if it is an ETX character (presumably signifying the end of a message). If the character is an ETX, the ISR might set a global flag. An incorrect implementation of this might be: int etx_rcvd = FALSE; void main()
{
...
while (!ext_rcvd)
{
// Wait
}
...
} interrupt void rx_isr(void)
{
...
if (ETX == rx_char)
{
etx_rcvd = TRUE;
}
...
} With optimization turned off, this code might work. However, any half decent optimizer will "break" the code. The problem is that the compiler has no idea that etx_rcvd can be changed within an ISR. As far as the compiler is concerned, the expression !ext_rcvd is always true, and, therefore, you can never exit the while loop. Consequently, all the code after the while loop may simply be removed by the optimizer. If you are lucky, your compiler will warn you about this. If you are unlucky (or you haven't yet learned to take compiler warnings seriously), your code will fail miserably. Naturally, the blame will be placed on a "lousy optimizer." The solution is to declare the variable etx_rcvd to be volatile. Then all of your problems (well, some of them anyway) will disappear. Multi-threaded applications Despite the presence of queues, pipes, and other scheduler-aware communications mechanisms in real-time operating systems, it is still fairly common for two tasks to exchange information via a shared memory location (that is, a global). When you add a pre-emptive scheduler to your code, your compiler still has no idea what a context switch is or when one might occur. Thus, another task modifying a shared global is conceptually identical to the problem of interrupt service routines discussed previously. So all shared global variables should be declared volatile. For example: int cntr; void task1(void)
{
cntr = 0;
while (cntr == 0)
{
sleep(1);
}
...
} void task2(void)
{
...
cntr++;
sleep(10);
...
} This code will likely fail once the compiler's optimizer is enabled. Declaring cntr to be volatile is the proper way to solve the problem. Final thoughts Some compilers allow you to implicitly declare all variables as volatile. Resist this temptation, since it is essentially a substitute for thought. It also leads to potentially less efficient code. Also, resist the temptation to blame the optimizer or turn it off. Modern optimizers are so good that I cannot remember the last time I came across an optimization bug. In contrast, I come across failures to use volatile with depressing frequency. If you are given a piece of flaky code to "fix," perform a grep for volatile. If grep comes up empty, the examples given here are probably good places to start looking for problems. ~Ambekar
Here is an example code snippet showing the use of a volatile pointer:
volatile int *ptr;
int value = 10;
ptr = &value;
*ptr = 20;
In this code, the volatile
keyword is used to indicate that the value pointed to by ptr
may change unexpectedly (e.g., due to hardware interrupts). This ensures that the compiler does not optimize away reads and writes to *ptr
, even if they appear unnecessary based on the program's logic.
The non-coding sections of a gene are known as introns. The coding sections of a gene are known as exons.
introns
The highest percentage of non-coding DNA is found in eukaryotes, not in bacteria or prokaryotes. In eukaryotic organisms, non-coding DNA makes up a larger portion of the genome compared to coding DNA. This non-coding DNA includes regions such as introns, repetitive sequences, and regulatory elements.
Genes that get transcribed is called structural gene. It is also known as the amino acid coding region.Our genome is made up of alternating introns and exons.Introns are the non-coding region the the genome whereas exons are the coding sequences.
Genes that are transcribed but not translated include non-coding RNA genes, such as microRNAs and long non-coding RNAs. These RNAs can have regulatory functions in the cell without being translated into proteins. Another example is ribosomal RNA (rRNA), which is transcribed but not translated as it forms part of the ribosome structure.
Read Only Memory (ROM) is non-volatile. Basically, the computer manufacturer write coding onto the ROM chip that will start up the computer, but which the user is not expected to interfere with.The volatile memory is the Random-access memory (RAM), which is wiped clean on shut down unless the data is first saved to the hard drive, etc.
For coding
void swap (int &pa, int &pb) { *pa ^= *pb; *pb ^= *pa; *pa ^= *pb; }
Several programming languages use a pointer value of Nil to indicate that the pointer does not point to anything.While the internal coding for Nil is usually not relevant to the programmer, it is typically the number 0 (but any value that would not be a valid memory address for storing such data structures at could be used).
Coding in the medical field is assigning a specific code for each procedure to ensure that patients are charged accordingly. Coding in a business sense is assigning a specific code for each operation of the business to allocate costs and income. For example, sales might use an "S" for coding.
I suppose you are a medical coder and for approved coding certificate programs you should visit some of the best internet sites for example: www.aapc.com or www.codingcertification.org.
Coding schemes make it possible for humans to interact with computers by using diffeerent codes. For example, the Binary System, ASCII, and the Unicode.
hierarchial classification faceted classification serial coding sequential coding block coding interpretative coding mnemonic coding check digits
Programs run with a step by step coding line. For example, when you open your program, a piece of coding will see if you have registered or not. If you have, it will go to step 2, if not, it will either disable some futures, close program or always ask to register. There are only 2 ways to bypass it: 1. Register it 2. Delete the line coding within the program coding.
PHP data coding is softwares that allows or has frameworks which can make PHP input to it's own script language. So you may code programs for example with PHP, just that it has to be extended PHP because of new functions and features. It may also be application coding for the web.
It's misrepresntaton of patient services and it's wrong cause it's like stealing
There are many. See: http://en.wikipedia.org/wiki/Lossless_data_compression#Lossless_compression_methods