Nov 18, 2004 10:53
19 yrs ago
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English term

component level performance on compute-intensive floating-point workloads

English Tech/Engineering Computers: Systems, Networks
The SPEC CPU2000 benchmark suite measures "component level performance on compute-intensive floating-point workloads" between two processors .

Can anybody help me simplifying the part between the quotes

Responses

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19 mins
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Detailed Reports

Multi processor systems containing 2 or more CPU's perform faster than single CPU systems, but not in direct correlation to the number of CPUs. Some of the processing power is consumed in allocating which CPU performs which calculation.

Intel CPUs use 'floating point' calculations to perform mathematical tasks (as opposed to interger based).

This benchmark software would therefore display seperate performance reports for each CPU (probably for the cache, RAM, and PCI bus too as these all affect CPU performance) rather than a single overall performance report for the system as a whole.

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Note added at 6 hrs 12 mins (2004-11-18 17:05:59 GMT)
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Reading the text again, it becomes clear that they are referring to benchmarking all components that could affect the performance of data transfers between the two CPU\'s. So, how about \"measures performance of all components on dual-CPU systems during heavy workloads\"?
Peer comment(s):

agree Angela Dickson (X)
264 days
agree Robert Donahue (X)
264 days
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4 KudoZ points awarded for this answer. Comment: "Graded automatically based on peer agreement."
12 mins

performance level of the component...

when subjected to levels floating point calculations that require intensive use of computing power
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5 hrs

comment

I'm not sure what you mean by 'simplify': for someone familiar with the subject, the phrase is perfectly clear (although it should read 'component-level').

If you want an explanation, TechTrans's explanation is good.

If you want to rephrase it for a layperson, you can use TechTrans's explanation as a basis. My take would be 'the performance of the individual components for computationally intensive workloads'
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