(強いAI)技術的特異点/(世界加速) 23at FUTURE
(強いAI)技術的特異点/(世界加速) 23 - 暇つぶし2ch484:YAMAGUTIseisei
18/08/06 02:29:34.41 FnAR0u04o BE:132176669-2BP(3)
Metric Parallel Incremental Units

Area, 32 entries 288 78 LUTs
Area, total, 32 entries 340 150 LUTs
Period 5.0 4.3 ns
Period, pipelined 2.9 2.5 ns
Area, total * period 1700 645 LUT*ns

Broadcast flash iterative
Event bank conflicts? never sometimes

Area, 4 events/cycle 288 156 LUTs
Area, 64 entries 576 130 LUTs

TABLE II:
Comparing parallel and incremental schedulers.


However the parallel scheduler retains some brute force advantages.
It can process a broadcast event in a single cycle, whereas the incremental scheduler must iteratively drain a broadcast queue at a rate of 1-2 instructions per cycle.
This may cause issue stalls in some workloads.
The incremental scheduler is also subject to even/odd target bank conflicts which may delay an instruction wake up.
Real workload studies are needed to measure whether these effects overshadow its substantial area*period advantage.
Finally consider future scale up to wider issue and larger instruction windows.
The parallel scheduler does not grow when subdivided into more banks to process twice as many events per cycle, whereas the incremental scheduler core area doubles.
To grow the instruction window to 64 entries, the parallel scheduler require twice as much area, whereas the incremental scheduler area grows more modestly.


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