Answer:
The purpose of this act was to reduce workplace hazards and implement more safety and health programs for both employers and their employees.
Answer:
He can use following computer program to make the class room more interesting and effective:-
- 1. <u>Reference software</u> : This software help students to access the atlases and dictionaries.Teacher can include this software in research projects .
- 2. <u>Educational Games</u>: This types of software is very effective for younger children because it motivates them to learn.This software companies have combined gaming and education into one .
- 3. <u>Graphical software</u> : Student can use this software to create and changes images available on the internet itselfs .
Answer:
Worst case time of Heapsort is better than worst case time of Quicksort.
Explanation:
Worstcase of Heapsort is nlog(n). Worstcase time of Quicksort is (n^2). Heapsort is comparison based sorting algorithm. Heapsort divides input into sorting. It is a selection sort in which we send maximum inputs for maximum elements at end. Quicksort is divide and conquer algorithm. It is considered as efficient sourcing algorithm.
The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>
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<h3>What is Parallel Computing?</h3>
Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.
<h3>Types of parallel computing</h3>
There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:
- Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
- Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
- Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
- Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.
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