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Task Parallelism is a form of parallelization of computer code. It is meant to distribute computing across multiple processors in parallel computing environments. It contrasts to Data Parallelism as another form of parallelism. Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster. ...
Processor can mean: A central processing unit of a computer. ...
Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster. ...
Data Parallelism is a form of parallelization of computer code. ...
Description
In a multiprocessor system executing a single set of instructions (SIMD), task parallelism is achieved when each processor performs a different task on same or different data. For instance, if we are running code on a 2-processor system (CPUs "a" & "b") in a parallel environment and we wish to do tasks "A" and "B" , it is possible to tell CPU "a" to do task "A" and CPU "b" to do task 'B" simultaneously, thereby reducing the runtime of the execution. The tasks can be assigned using conditional statements as described below. Most programs fall somewhere on the continuum between Task parallelism and Data parallelism.-1...
CPU can stand for: in computing: Central processing unit in journalism: Commonwealth Press Union in law enforcement: Crime prevention unit in software: Critical patch update, a type of software patch distributed by Oracle Corporation in Macleans College is often known as Ash Lim. ...
Look up parallel in Wiktionary, the free dictionary. ...
In computer science, run time (with a space, though often its spelled without one) describes the operation of a computer program, the duration of its execution, from beginning to termination (compare compile time). ...
In computer science, conditional statements are a vital part of a programming language. ...
Data Parallelism is a form of parallelization of computer code. ...
Example The pseudocode below illustrates task parallelism: Pseudocode (derived from pseudo and code) is a compact and informal high-level description of a computer programming algorithm that uses the structural conventions of programming languages, but omits detailed subroutines, variable declarations or language-specific syntax. ...
program: ... if CPU="a" then do task "A" else if CPU="b" then do task "B" end if ... end program The goal of the program is to do some net total task ("A+B"). If we write the code as above and launch it on a 2-processor system, then the runtime environment will execute it as follows. - In a SIMD system, both CPUs will execute the code.
- In a parallel environment, both will have access to the same data.
- The "if" clause differentiates between the CPU's. CPU "a" will read true on the "if" and CPU "b" will read true on the "else if", thus having their own task.
- Now, both CPU's execute separate code blocks simultaneously, performing different tasks simultaneously.
Code executed by CPU "a":-1...
CPU can stand for: in computing: Central processing unit in journalism: Commonwealth Press Union in law enforcement: Crime prevention unit in software: Critical patch update, a type of software patch distributed by Oracle Corporation in Macleans College is often known as Ash Lim. ...
program: ... do task "A" ... end program Code executed by CPU "b": program: ... do task "B" ... end program This concept can now be generalized to any number of processors.
References - Quinn Michael J, Parallel Programming in C with MPI and OpenMP McGraw-Hill Inc. 2004. ISBN 0-07-058201-7
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