Easiest way to understand threads is they are lanes on a highway. where data ques up,
well the main difference is that in a parallel system there is multiple computing units (cpu) working in one node(they share memory ,attached devices , storage...) to accomplish a computing goal in a clustered there is multiple nodes each has its own resources running its own copy of os (usually connected via lan) to accomplish a computing goal
affective computing!
"Distributed" or "grid" computing in general is a special type of parallel computing, it is advanced in the means of using distributed computing.
No, NPT threads are not compatible with NPSM threads. A pipe with NPT threads tapers slightly, while an NPSM-threaded pipe does not taper.
Cloud computing is better then normal grid computing as its cheaper to buy, use and maintain. Cloud computing can offer web hosting also which grid computing can not.
There are two main kinds of threads implementations: User-space threads and Kernel-supported threads. Mikaela
Cloud computing or grid computing depends on the task at hand. If you want to focus on a single enormous task, then go with grid computing. Cloud computing is more for multitasking.
There are two distinct models of thread controls, and they are user-level threads and kernel-level threads. The thread function library to implement user-level threads usually runs on top of the system in user mode. Thus, these threads within a process are invisible to the operating system. User-level threads have extremely low overhead, and can achieve high performance in computation. However, using the blocking system calls like read(), the entire process would block. Also, the scheduling control by the thread runtime system may cause some threads to gain exclusive access to the CPU and prevent other threads from obtaining the CPU. Finally, access to multiple processors is not guaranteed since the operating system is not aware of existence of these types of threads. On the other hand, kernel-level threads will guarantee multiple processor access but the computing performance is lower than user-level threads due to load on the system. The synchronization and sharing resources among threads are still less expensive than multiple-process model, but more expensive than user-level threads. Thus, user-level thread is better than kernel level thread.
Plumbing pipe threads are squared and conduit pipe threads are tapered.
Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind.
The basic computing with the computer.
Business computing is done at work; personal computing is done at home.