![]() Parallel transmission is commonly used in applications where there is a need for high-speed data transfer, or where the data being transmitted is relatively large. In a parallel communication system, the bits are usually sent in a specific order, and the receiver must be able to interpret the data based on this order. This means that the data is transmitted in parallel, with each bit being sent at the same time as the others. Parallel, on the other hand, refers to a method of data transmission in which multiple bits of data are sent simultaneously on separate channels or wires. Examples of devices that use serial communication include printers, keyboards, and mice. Serial transmission is commonly used in applications where there is limited bandwidth available, or where the data being transmitted is relatively small. In a serial communication system, the bits are usually sent in a specific order, and the receiver must be able to interpret the data based on this order. This means that the data is transmitted sequentially, with each bit following the previous one. Serial refers to a method of data transmission in which bits of data are sent one after another on a single channel or wire. Now that we understand the basics of serial and parallel processing, let’s explore some of the key differences between the two. Parallel processing can also be more efficient, as tasks can be divided up among multiple processors or cores. This can be useful when dealing with large amounts of data or complex calculations. Parallel processing, on the other hand, involves multiple processes occurring at the same time. Serial processing can also be more reliable, as errors can be caught and corrected before moving on to the next step. This is often used in situations where precision is important, such as in scientific calculations or financial analysis. When we talk about serial processing, we’re referring to a single process that is completed step-by-step. However, it’s important to understand the differences between the two. So, which is the proper term to use? The answer is that both can be correct, depending on the context. This can result in faster processing times and improved efficiency. In contrast, parallel processing involves completing multiple tasks simultaneously. This means that each task must be completed before the next one can begin. Serial processing involves completing tasks in a sequential order. But what do these terms mean, and which is the right one to use? Let’s take a closer look. That means that you never have two threads running in parallel - no speedup can be expected from this.When it comes to computing, there are two primary ways that data can be processed: serial and parallel. In other words, you create a thread and then immediately wait for it to finish before you start the next thread. The other problem is that your code looks like this: for(int h = 0 h < NTHREADS h++) You should of course have seen this because the number of primes you print at the end is different for the sequential and the parallel version. The last one of your threads then does all primes and will of course not be faster than the sequential program. In other words, where every thread should do the interval [n,m), instead they do [0,m). Note how you initialize j correctly and then immediately set it to zero again. Struct arg_struct *args = (struct arg_struct *)arguments Part of the problem is that there is one thread that does all numbers: void *parallel_launcher(void *arguments) ![]() Processor: Intel Core i5 (2 physical core, 4 logical), Pthread_create(&thread_id, NULL, ¶llel_launcher, (void *)&args) Pthread_mutex_t mutex1 = PTHREAD_MUTEX_INITIALIZER Hello everyone, I have got a program (from the net) that I intend to speed up by converting it into its parallel version thru the use of pthreads surprisingly though, it runs slower than the serial version.
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