Multi Threading For Reading Multiple Files In C#
CompilerOptimThreadsTimeSpeedgnone133 sgnone813 s2.54xg-O419 sg-O483 s3xApparently Apple’s clang is better at scaling a parallel program, however this can be a combination of compiler/machine characteristics, it could also be because the MacBook Pro used for tests has 8GB of RAM versus only 6GB for the Linux machine.Read the second part of this tutorial -.If you are interested in learning more about the new C syntax I would recommend reading by M. Kleper 4th edition:or, if you are a C beginner you could read by S. Moo.A good book for learning about C11 multithreading support is by Anthony Williams. Disclaimer:All data and information provided on this site is for informational purposes only. Solarianprogrammer.com makes no representations as to accuracy, completeness, currentness, suitability, or validity of any information on this site and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis.
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- Multi Threading For Reading Multiple Files In C Using Terminal
- Multi Threading For Reading Multiple Files In C Software
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Multi Threading For Reading Multiple Files In C Using Terminal
The root of the problem is that the files are on the same drive and, unlike your dual core processor, your hard drive can only do one thing at a time.If you read two files simultaneously, the disk heads will jump from one file to the other and back again. Given that your hard drive can read each file in roughly 40 seconds, it now has the additional overhead of moving its disk head between the three separate files many times during the read.The fastest way to read multiple files from a single hard drive is to do it all in one thread and read them one after another. This way, the head only moves once per file read (at the very beginning) and not multiple times per read.To optimize this process, you'll either need to change your logic (do you really need to read the whole contents of all three files?). Or purchase a faster hard drive/put the 3 files in three different hard drives and use threading/use a raid.
Multi Threading For Reading Multiple Files In C Software
When a thread is finished with the file, it 'unlocks' the mutex, allowing the next thread to gain exclusive access to the file. If you don't know already, a 'mutex' is a simple construct that threads use for synchronised access to a common resource shared by multiple threads. I've got a job to create a library that would be able to support multithreaded and multi process read and write to a single file. On that single file we would store C# models in an array in JSON format. It would basically work as a mini file system JSON DB.
Sure, if you were reading the files multiple times to perform a match, then definitely put them in memory and use an many cores as you have to search them. However, if you are only searching them once and can stop if a match is found, then it will be much faster to try matching as you read so you can stop the read if a match is found.
Reading from HD is about 1000X slower than from ram, so if you can stop reading the file part way through if a match is found, then that is a huge time saving.–Nov 16 '09 at 6:21. If you read from disk using multiple threads, then the disk heads will bounce around from one part of the disk to another as each thread reads from a different part of the drive. That can reduce throughput significantly, as you've seen.For that reason, it's actually often a better idea to have all disk accesses go through a single thread, to help minimize disk seeks.If your task is I/O bound and if it needs to run often, you might look at a tool like 'contig' to make sure the layout of your files on disk is optimized / contiguous. Since your process is IO bound, you should let the OS do your threading for you. Look at FileStream.BeginRead for an example how to queue up your reads. Your EndRead method can spin up your next request to read your next block of data pointing to itself to handle each subsequent completed block.Also, with you creating additional threads, the OS has to manage more threads. And if a different CPU happens to get picked to handle the completed read, you've lost all of the CPU caching where your thread originated.As you've found, you can't 'speed up' an application just by adding threads.