2 # Test Data from Marina Chip #12
4 # Each test consists of setting the input voltage, loading the
5 # instruction ring with a certain number of NOPS, and then observing
6 # the number of executions which occur in a 300ms time period
7 # (longer time periods would overflow the puny counter).
9 # Format of each line is:
12 # - billions of executions per second
14 # The voltage listed is the core voltage. The I/O voltage was set
15 # to 1.8V or the core voltage, whichever was greater.
17 # The chip operated up to 2.95 volts. At 3.0 volts something went
18 # wrong and the counters started reporting only zero or one
19 # executions (the scan chain still worked). Whatever happened was
20 # permanent damage; the chip continued to malfunction when set back
23 # This file is in a format suitable for being read by gnuplot. I
24 # use the following plot commands:
27 # set title "Marina Canopy Plot, Chip #12"
28 # set output "marina12-data.pdf"
29 # set xlabel "number of instructions in ring"
30 # set ylabel "BILLIONS of instructions executed per second"
32 # set arrow 1 from 1.5,3.716 to 12,3.716 nohead linetype 4 lc rgb "#000000"
33 # set label 1 "3.7 GOP/s" at 0.3,3.7 left
35 # set arrow 2 from 1.5,7.67 to 10,7.67 nohead linetype 4 lc rgb "#000000"
36 # set label 2 "7.6 GOP/s" at 0.3,7.67 left
38 # plot "marina12-data.txt" index 3 using 2:3 title "" with lines lc rgb "#aaaaaa", \
39 # "" index 2 using 2:3 title "vdd=2.95" with linespoints lw 6 pt 8 lc rgb "#dd0000", \
40 # "" index 0 using 2:3 title "vdd=1.00" with linespoints lw 6 pt 6 lc rgb "#00dd00", \
41 # "" index 1 using 2:3 title "vdd=0.40" with linespoints lw 6 pt 10 lc rgb "#0000dd"
44 # A single blank line has been placed between each group of samples
45 # at a particular vdd setting, and the groups have been re-ordered
46 # so that the nominal-vdd group comes first, followed by min-vdd,
47 # followed by max-vdd, followed by the rest. Each of these four
48 # regions is separated by a double blank line, so you can use
49 # gnuplot's "index X" directive to pick out just one of those four
50 # collections. For example, "plot index 0:2 ..." will give you just
51 # the min, nominal, and max contours.
57 1.0 1 0.9275696019999999
60 1.0 4 3.7000090764999998
64 1.0 8 3.7130339085000004
66 1.0 10 2.8342246044999997
75 0.4 4 0.26231044849999996
76 0.4 5 0.26232253949999995
77 0.4 6 0.26215192049999997
80 0.4 9 0.26219066399999996
82 0.4 11 0.10484677849999999
89 2.95 3 5.956288443999999
90 2.95 4 7.666481924000001
92 2.95 6 7.676890172000002
95 2.95 9 7.6592752520000005
107 0.45 6 0.44830315049999997
108 0.45 7 0.44827183700000006
109 0.45 8 0.44845156899999994
110 0.45 9 0.44801774199999994
111 0.45 10 0.3513320830000001
116 0.5 1 0.17604223450000003
118 0.5 3 0.5293613389999999
120 0.5 5 0.6843052700000001
121 0.5 6 0.6840922085000001
130 0.55 1 0.24491398800000003
133 0.55 4 0.9580495074999998
134 0.55 5 0.9577526544999999
136 0.55 7 0.9580293649999998
137 0.55 8 0.9579851859999998
151 0.6 8 1.2580649234999999
152 0.6 9 1.2570296344999998
153 0.6 10 0.9718648265000001
154 0.6 11 0.4891294245000001
158 0.65 1 0.39845228250000003
159 0.65 2 0.7972006945000001
161 0.65 4 1.5752680989999999
164 0.65 7 1.5744660904999996
166 0.65 9 1.5737475865000001
168 0.65 11 0.6103875715000001
173 0.7 2 0.9574268585000001
175 0.7 4 1.8972600275000002
176 0.7 5 1.8962858070000004
177 0.7 6 1.8957134230000001
178 0.7 7 1.8968569524999999
180 0.7 9 1.8963570824999998
181 0.7 10 1.4566025639999998
189 0.75 4 2.2165935835000004
191 0.75 6 2.2184697590000004
194 0.75 9 2.2201539719999994
196 0.75 11 0.8557980559999999
202 0.8 3 1.9095712669999998
203 0.8 4 2.5326737550000002
204 0.8 5 2.5364433869999994
206 0.8 7 2.5356374175000003
208 0.8 9 2.5370267760000003
209 0.8 10 1.9420519035000001
214 0.85 1 0.7140583249999999
215 0.85 2 1.4282245550000001
216 0.85 3 2.1402886000000003
218 0.85 5 2.8483361224999997
220 0.85 7 2.8489555824999995
223 0.85 10 2.1769083125000006
224 0.85 11 1.0955441175000002
228 0.9 1 0.7880444335000001
231 0.9 4 3.1431568884999996
232 0.9 5 3.1495670430000002
233 0.9 6 3.1496790614999997
235 0.9 8 3.1496040664999994
236 0.9 9 3.1483105504999997
237 0.9 10 2.4040128844999997
243 0.95 2 1.7215638234999997
244 0.95 3 2.5762561655000003
246 0.95 5 3.4401910630000003
247 0.95 6 3.4382441680000007
249 0.95 8 3.4382759875000004
250 0.95 9 3.4386422420000002
252 0.95 11 1.3208675189999997
256 1.05 1 0.9943625014999998
257 1.05 2 1.9896902134999999
258 1.05 3 2.9800684964999995
261 1.05 6 3.9811480015000003
264 1.05 9 3.9810385234999996
266 1.05 11 1.5285551080000002
278 1.1 9 4.2305726759999995
280 1.1 11 1.6266923684999999
286 1.15 3 3.3423172389999998
290 1.15 7 4.471767203500001
291 1.15 8 4.472315813500001
292 1.15 9 4.468298805999999
294 1.15 11 1.7184876084999998
298 1.2 1 1.1732855299999998
300 1.2 3 3.5126239955000003
301 1.2 4 4.675486562000001
302 1.2 5 4.697454926000001
308 1.2 11 1.8072419675000002
321 1.25 10 3.7542836439999996
322 1.25 11 1.8908025389999998
326 1.3 1 1.2792323079999999
328 1.3 3 3.8246600820000003
330 1.3 5 5.1119330204999995
335 1.3 10 3.9118416750000002
336 1.3 11 1.9698784094999997
342 1.35 3 3.9668801279999997
343 1.35 4 5.279467509000001
347 1.35 8 5.302121722499999
350 1.35 11 2.0457364530000004
354 1.4 1 1.3768779000000002
355 1.4 2 2.754487906666667
356 1.4 3 4.117568488000002
358 1.4 5 5.501679991333334
359 1.4 6 5.497629743333334
361 1.4 8 5.498083701999999
362 1.4 9 5.501351643333334
363 1.4 10 4.217937914666667
364 1.4 11 2.1247563686666666
368 1.45 1 1.4198282366666664
370 1.45 3 4.244830366666667
371 1.45 4 5.649175764666667
372 1.45 5 5.667367980666667
373 1.45 6 5.672565584666666
374 1.45 7 5.669868090666667
375 1.45 8 5.665849582000001
376 1.45 9 5.670859206000001
377 1.45 10 4.348536538666667
378 1.45 11 2.1925594973333338
385 1.5 4 5.8654266779999995
386 1.5 5 5.897225112999999
388 1.5 7 5.890872805999999
392 1.5 11 2.2787491930000003
396 1.55 1 1.5118629049999999
399 1.55 4 6.016308220000001
402 1.55 7 6.049259684000001
403 1.55 8 6.045007459999999
404 1.55 9 6.0525797830000005
413 1.6 4 6.164713049000001
414 1.6 5 6.187652697999999
418 1.6 9 6.183858357999999
425 1.65 2 3.1669223250000003
426 1.65 3 4.742427439000001
427 1.65 4 6.2951956330000005
428 1.65 5 6.320287304000001
432 1.65 9 6.3185707120000005
439 1.7 2 3.2368555940000006
443 1.7 6 6.447421241000001
445 1.7 8 6.446670059000001
446 1.7 9 6.446677140000001
448 1.7 11 2.5063017590000003
457 1.75 6 6.571448389000001
458 1.75 7 6.5501109259999994
459 1.75 8 6.565603133000001
460 1.75 9 6.557339737999999
461 1.75 10 5.077578459000001
466 1.8 1 1.6903448750000003
470 1.8 5 6.687856226000001
471 1.8 6 6.700624400999999
472 1.8 7 6.689643340999998
473 1.8 8 6.705713063999999
476 1.8 11 2.6087888359999996
480 1.85 1 1.7141651770000004
481 1.85 2 3.4041476449999997
486 1.85 7 6.7871823189999985
487 1.85 8 6.797407328999999
488 1.85 9 6.788237628999999
494 1.9 1 1.7364913659999999
496 1.9 3 5.187187743000001
499 1.9 6 6.881029954000001
500 1.9 7 6.8863900970000005
504 1.9 11 2.6963141740000003
508 1.95 1 1.7596105729999998
511 1.95 4 6.9498024229999995
512 1.95 5 6.979419478999999
513 1.95 6 6.969010174000002
514 1.95 7 6.9831641939999995
515 1.95 8 6.970843841999999
518 1.95 11 2.7352932990000003
522 2.0 1 1.7865144800000003
523 2.0 2 3.5519671639999997
526 2.0 5 7.045628066000001
527 2.0 6 7.0611834270000005
531 2.0 10 5.491151928000001
536 2.05 1 1.8066077960000002
538 2.05 3 5.382148433999999
539 2.05 4 7.122765263000001
540 2.05 5 7.129393166999999
541 2.05 6 7.142839980000001
542 2.05 7 7.121214572000001
543 2.05 8 7.141088581999999
544 2.05 9 7.121327642999999
545 2.05 10 5.563445316000001
550 2.1 1 1.8292815259999997
552 2.1 3 5.443378967999999
553 2.1 4 7.187686159999998
565 2.15 2 3.6726810540000003
567 2.15 4 7.255904774999999
568 2.15 5 7.282791040000001
572 2.15 9 7.277608947999999
573 2.15 10 5.675980355999998
574 2.15 11 2.8743851310000004
578 2.2 1 1.8654520759999997
581 2.2 4 7.3276895060000005
583 2.2 6 7.335297259000001
588 2.2 11 2.9021211009999996
592 2.25 1 1.8839377449999997
593 2.25 2 3.7464995940000003
594 2.25 3 5.600365269999999
595 2.25 4 7.391381366999999
597 2.25 6 7.397067179999999
599 2.25 8 7.395367952000001
601 2.25 10 5.807777786999999
602 2.25 11 2.9312976060000002
606 2.3 1 1.9029211309999998
607 2.3 2 3.7729650930000007
609 2.3 4 7.442237220999999
612 2.3 7 7.441699315999999
614 2.3 9 7.445457362000001
615 2.3 10 5.865190371999999
620 2.35 1 1.9167260730000002
622 2.35 3 5.708216973000001
623 2.35 4 7.489906367000001
624 2.35 5 7.520228852999999
625 2.35 6 7.5050997719999994
626 2.35 7 7.505537121000001
627 2.35 8 7.514012233999999
638 2.4 5 7.560084063000001
641 2.4 8 7.553074962000001
643 2.4 10 5.951492932999999
648 2.45 1 1.9456243149999999
649 2.45 2 3.8717067879999996
651 2.45 4 7.595282238999999
654 2.45 7 7.602454751000001
662 2.5 1 1.9633608099999997
663 2.5 2 3.9000510649999995
665 2.5 4 7.648124782000001
666 2.5 5 7.644675980999999
667 2.5 6 7.655733290000001
668 2.5 7 7.637279986999999
670 2.5 9 7.636946024000001
672 2.5 11 3.0586970660000006
676 2.55 1 1.9763997699999998
677 2.55 2 3.9181145479999997
679 2.55 4 7.6802256369999995
681 2.55 6 7.693569871999999
682 2.55 7 7.674205988999999
684 2.55 9 7.677962379000002
685 2.55 10 6.0912642020000005
686 2.55 11 3.0841291609999995
690 2.6 1 1.9874797560000002
691 2.6 2 3.9411647610000005
692 2.6 3 5.913237184000001
693 2.6 4 7.7051489459999996
694 2.6 5 7.731801770999999
696 2.6 7 7.728834924999999
699 2.6 10 6.127434624000001
704 2.65 1 1.9968729089999997
705 2.65 2 3.974357715000001
706 2.65 3 5.934865245999999
708 2.65 5 7.722608536999999
710 2.65 7 7.7252460979999995
714 2.65 11 3.1277790679999997
719 2.7 2 3.9985203189999994
721 2.7 4 7.718579795000001
724 2.7 7 7.714273061999999
725 2.7 8 7.7077269799999995
728 2.7 11 3.1455982329999994
733 2.75 2 4.013403514999999
735 2.75 4 7.706960947000001
739 2.75 8 7.713321470000001
740 2.75 9 7.694991963999999
742 2.75 11 3.1650594040000004
748 2.8 3 5.9714274839999995
749 2.8 4 7.685912238999999
750 2.8 5 7.701540894000002
754 2.8 9 7.6967582839999995
755 2.8 10 6.209340457000001
766 2.85 7 7.689670758999999
768 2.85 9 7.6907155860000005
770 2.85 11 3.2077889240000004
774 2.9 1 2.0552002089999997
778 2.9 5 7.681321079999999
779 2.9 6 7.670826383999999
781 2.9 8 7.662900045999999
783 2.9 10 6.1875573290000005