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Table 5. Average time under different machines.
2005
"... In PAGE 6: ....0003 to 0.0004 seconds for the smallest machine with respect to compute power and memory. Table5 presents the average time when executing the two techniques under different machines and figure 4 further illustrates the performance with respect to scalability. Table 5.... ..."
Cited by 2
Table 1. Different machines models. ARF PRF
"... In PAGE 1: ... 2. DESIGN SPACE We classify existing microprocessors based on operand delivery as shown in Table1 . Microprocessors can be divided into ARF and PRF style machine depending on where the speculative results are stored, and into PL or no PL based on when the operands read occur.... In PAGE 1: ... Microprocessors can be divided into ARF and PRF style machine depending on where the speculative results are stored, and into PL or no PL based on when the operands read occur. Those two organizations are orthogonal and can be mixed and matched into four different combinations as shown in Table1 . How- ever, existing ARF-style machines always use PL while PRF-style machines do not.... In PAGE 2: ...four quadrants in Table1 . Figure 1 shows the data movement dia- grams for each model.... ..."
Table 3 compares four different machine learning
TABLE VII SIMULATION TIMES FOR THE DIFFERENT MACHINE RELIABILITIES
Table 3: Run times on different machines (stand-alone)
TABLE II PERFORMANCE OF THE DIFFERENT MACHINE WITH 200 200 PER PROCESS
2007
TABLE II AVERAGE TIMES FOR THE ALGORITHMS MEASURED IN PROCESSOR CYCLES ON DIFFERENT MACHINES.
Table 15 APD for different configurations of machines
in machines and
"... In PAGE 18: ...he tests (1.00), and the number of iterations is set to 15,000. Because of the different configurations we can not compare the results directly. Still, in Table15 we can observe that the metaheuristic produces interesting results for these new instances. The use of this methodology seems to be very suitable for the UPMSP environment.... ..."
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