Gastón C Hillar's C# 2008 and 2005 threaded programming beginner's guide : PDF
By Gastón C Hillar
A pragmatic advisor to constructing responsive multi-threaded and multi-process functions in C#. even if you're a newbie to operating with threads or an outdated hand that's searching for a reference, this booklet can be in your table. This ebook might help you to construct scalable, excessive functionality software program utilizing parallel programming suggestions. scholars studying introductory threaded programming in C# also will achieve advantages from this ebook.
Read Online or Download C# 2008 and 2005 threaded programming beginner's guide : exploit the power of multiple processors for faster, more responsive software. - Description based on print version record. - "Learn by doing: less theory, more results"--Cover. - Includes index PDF
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Extra info for C# 2008 and 2005 threaded programming beginner's guide : exploit the power of multiple processors for faster, more responsive software. - Description based on print version record. - "Learn by doing: less theory, more results"--Cover. - Includes index
Although this algorithm could bring the best response time in some applications, it transforms an 'n' way symmetrical multiprocessing system in an asymmetric multiprocessing one, using one core to manage the task distribution process instead of leaving it to the algorithms applied by the operating system. You will be there an entire day watching the robots. In a week's time, there will be no more robots in your kitchen! Every algorithm has its advantages and trade-offs. Have a go hero – Thinking about load balancing Take some processes and routines with poor performance results and redesign them to achieve better results with 2, 4, 8, and 16 execution cores.
We must not forget that we still have the same algorithm that is not optimized for taking advantage of multiple cores. There is no silver bullet! Changing the process priority did not automatically optimize it for multiprocessing. [ 43 ] Processes and Threads Run many instances of the application concurrently and change their respective priorities. The application with the highest priority will take less time to run as compared to the others. Linear code problems in multiprocessing systems When the new microprocessors including multiple execution cores in one physical package arrived, the main marketing focus given by the microprocessor manufacturers was to let the users run many concurrent tasks, without the need to wait for new releases of the applications optimized for parallelism.
We need them in order to begin coding lots of practical samples. Avoiding bottlenecks Many bottlenecks can arise in systems with multiple processors, besides the von Neumann's one (that is reduced, but still alive). The problems appear when the system runs out of processing capacity. The following list enumerates the components in which the bottlenecks may appear with some possible solutions: Shared memory's bus Some possible solutions for a bottleneck here can be: Increase each processor's cache memory Increase each processor's cache memory levels (levels 1, 2, 3, and 4 in some cases) [ 21 ] Taking Advantage of Multiprocessing and Multiple Cores Replace the processors with others having more cache memory and/or more levels Replace the processors with others having a memory controller integrated in the physical microprocessor Use a motherboard providing dedicated buses to shared memory Inter-processor bus To avoid a bottleneck in the inter-processor bus, we can replace the motherboard and the processors with another set offering a bus with a wider bandwidth between them.