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First, we execute the program with the standard branch predictor on the processor, which yields an execution time of 2.25 seconds. Next, we execute the program with our modified (and hopefully improved) branch predictor on the same processor, which produces an execution time of 1.50 seconds. In both cases the execution workload is the same.
Improving part A by a factor of 2 will increase overall program speed by a factor of 1.60, which makes it 37.5% faster than the original computation. However, improving part B by a factor of 5, which presumably requires more effort, will achieve an overall speedup factor of 1.25 only, which makes it 20% faster.
On the review aggregator website Rotten Tomatoes, a film has a rating of 100% if each professional review recorded by the website is assessed as positive rather than negative. The percentage is based on the film's reviews aggregated by the website and assessed as positive or negative, and when all aggregated reviews are positive, the film has a ...
The red crosses denote the most power efficient computer, while the blue ones denote the computer ranked#500. FLOPS per watt is a common measure. Like the FLOPS ( Floating Point Operations Per Second) metric it is based on, the metric is usually applied to scientific computing and simulations involving many floating point calculations.
On April 14, 2003, Intel officially launched the new Pentium 4 HT processor. This processor used an 800 MT/s FSB (200 MHz physical clock), was clocked at 3 GHz, and had Hyper-Threading technology. [23] This was meant to help the Pentium 4 better compete with AMD's Opteron line of processors. Meanwhile, with the launch of the Athlon XP 3200+ in ...
As of 2010 the fastest PC processor reached 109 gigaFLOPS (Intel Core i7 980 XE) [51] in double precision calculations. GPUs are considerably more powerful. For example, Nvidia Tesla C2050 GPU computing processors perform around 515 gigaFLOPS [ 52 ] in double precision calculations, and the AMD FireStream 9270 peaks at 240 gigaFLOPS.