Answer:
Ans. Ready to download, please see the file attached to this document
Explanation:
Note. Consider changing the cell in yellow, does not make sense, it could be 10100 instead of 1010
Hi, to design this sheet, I also used the and(...) function of MS excel, in which you declate that in order to select a certain answer, 2 or more conditions must be true, in our case, if a purchase is up to 1000, the price would be $1010 (consider changing this value, maybe to 10100), if the purchase is more than 1000 and less than 5000, the price is $9,509.50, and if is more than 5000 units, the price would be $5,5005.50.
Please check the formula for further clarifications.
Best of luck.
Hubs are very simple devices that connect network components, sending a packet of data to all other connected devices.
Hubs are relatively basic network connectors that send a packet of data to every other connected device. Compared to a hub, a switch is more intelligent and has the ability to filter and forward data to a specific location. Within various networks, switches are utilized. Nodes of the network are any computers or printers connected to it. A network workstation is a personal computer that is linked to a network (note that this is different form the usage of the term workstation as a high-end microcomputer). Nodes of the network are any computers or printers connected to it. A network workstation is a personal computer that is linked to a network.
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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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