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Table 2. Comparison of GPUs
2006
Cited by 1
Table 1: Traces used to evaluate the performance of video-scheduling schemes.
1998
"... In PAGE 11: ... These traces were captured by di erent researchers [4, 7, 10, 12] for various types of video (see references for compression details). Table1 summarizes the main characteristics... In PAGE 12: ...izes (e.g., W = 30), more gain can be achieved at the expense of more bandwidth computations at the server. The performance of the stream-scheduling schemes in terms of the overall utilization can be obtained by contrasting the third column in Table1 to the plots in Figure 7. For example, for Wizard of Oz the mean rate is about 12.... In PAGE 13: ... In the following simulations, we assume that video requests arrive at a server according to a Poisson process with rate . The server maintains the set of movies given in Table1 . Each movie has a xed length, which di er from the lengths of the other movies.... ..."
Cited by 5
Table 1: Traces used to evaluate the performance of video-scheduling schemes.
1998
"... In PAGE 11: ... These traces were captured by di erent researchers [4, 7, 10, 12] for various types of video (see references for compression details). Table1 summarizes the main characteristics... In PAGE 12: ...he set-top box since frames are transported at their playback rate. With smaller window sizes (e.g., W = 30), more gain can be achieved at the expense of more bandwidth computations at the server. The performance of the stream-scheduling schemes in terms of the overall utilization can be obtained by contrasting the third column in Table1 to the plots in Figure 7. For example, for Wizard of Oz the mean rate is about 12.... In PAGE 13: ... In the following simulations, we assume that video requests arrive at a server according to a Poisson process with rate . The server maintains the set of movies given in Table1 . Each movie has a xed length, which di er from the lengths of the other movies.... ..."
Cited by 5
TABLE 1. Cycle and instruction count effects of the trace-based scheduler.
Table 4. Ideal or{parallelism Program Tracing Scheduling Processors
Table 3. Performance Comparison between Fuzzy and FIFO Scheduling for Trace 1.
Table 4. Performance Comparison between Fuzzy and FIFO Scheduling for Trace 2.
Table 2: Growth rate of number of transistors on CPUs and GPUs.
Table 1.1: Communication busses and bandwidths between CPUs and GPUs.
2007
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