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Message boards : Generalized Fermat Prime Search : Points: 17 Low vs 17 Mega

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recoil44Project donor
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Discovered 1 mega primeFound 1 prime in the 2019 Tour de PrimesFound 1 mega prime in the 2019 Tour de Primes321 LLR Turquoise: Earned 5,000,000 credits (5,019,377)Cullen LLR Turquoise: Earned 5,000,000 credits (5,064,170)ESP LLR Turquoise: Earned 5,000,000 credits (5,001,303)Generalized Cullen/Woodall LLR Turquoise: Earned 5,000,000 credits (5,094,139)PPS LLR Turquoise: Earned 5,000,000 credits (6,021,807)PSP LLR Turquoise: Earned 5,000,000 credits (5,085,124)SoB LLR Turquoise: Earned 5,000,000 credits (5,042,051)SR5 LLR Turquoise: Earned 5,000,000 credits (5,077,248)SGS LLR Turquoise: Earned 5,000,000 credits (5,000,448)TRP LLR Turquoise: Earned 5,000,000 credits (5,003,404)Woodall LLR Turquoise: Earned 5,000,000 credits (5,035,352)321 Sieve Turquoise: Earned 5,000,000 credits (5,061,436)Generalized Cullen/Woodall Sieve (suspended) Jade: Earned 10,000,000 credits (10,012,148)PPS Sieve Double Bronze: Earned 100,000,000 credits (108,556,313)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Ruby: Earned 2,000,000 credits (2,089,865)TRP Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,297,782)AP 26/27 Emerald: Earned 50,000,000 credits (50,153,415)GFN Double Bronze: Earned 100,000,000 credits (106,065,222)PSA Emerald: Earned 50,000,000 credits (67,666,890)
Message 108949 - Posted: 14 Jul 2017 | 21:15:58 UTC

Short version:
Why is 17 Low worth more than 17 Mega?

Long version:
I have a spreadsheet where I keep track of the average time and points for each sub-project for each of my machines and use that to calculate (roughly) how long it will take till the next badge.
Going from GFN 15 to 22 you can clearly see an increase in the estimated points per day (regardless of GPU) except for the 17s, they look like they should be swapped around. Why is this?

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The "Shut up already!" badge:  This loud mouth has mansplained on the forums over 10 thousand times!  Sheesh!!!Discovered the World's First GFN-19 prime!!!Discovered 1 mega primeFound 1 prime in the 2018 Tour de PrimesFound 1 prime in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Ruby: Earned 2,000,000 credits (2,822,730)Cullen LLR Ruby: Earned 2,000,000 credits (2,005,249)ESP LLR Turquoise: Earned 5,000,000 credits (5,009,577)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,145,754)PPS LLR Jade: Earned 10,000,000 credits (12,872,444)PSP LLR Turquoise: Earned 5,000,000 credits (5,197,957)SoB LLR Sapphire: Earned 20,000,000 credits (34,291,181)SR5 LLR Jade: Earned 10,000,000 credits (10,007,110)SGS LLR Ruby: Earned 2,000,000 credits (2,276,011)TRP LLR Ruby: Earned 2,000,000 credits (2,790,862)Woodall LLR Ruby: Earned 2,000,000 credits (2,195,123)321 Sieve Jade: Earned 10,000,000 credits (10,061,196)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,170,256)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,059,304)PPS Sieve Sapphire: Earned 20,000,000 credits (22,875,008)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Amethyst: Earned 1,000,000 credits (1,035,522)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,051,121)AP 26/27 Jade: Earned 10,000,000 credits (10,114,260)GFN Emerald: Earned 50,000,000 credits (72,383,585)PSA Jade: Earned 10,000,000 credits (12,445,029)
Message 108950 - Posted: 14 Jul 2017 | 23:39:18 UTC

How far back in time are you tracking those numbers? If your data only goes back a week or two, you should be seeing the same credit rates. If you have a recent GFN17Low that is getting proportionally more credit than a GFN17Mega, please provide links to example tasks so I can investigate. "Recent", in this context, means the GFN17Low has a b value > 8,388,608.

If your data includes older GFN17 tasks (i.e., b < 8,388,608), then for GPU tasks, GFN 17 Low used to use a more efficient transform (OCL3) than does GFN 17 Mega (OCL2). Same amount of work, but it took less time. Therefore, same amount of credit, but it takes less time.

Both use the same algorithm on the CPU, however. If you were running those on you CPU, you should see almost identical credit/hour rates for both 17 Low and 17 Mega.


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321 LLR Turquoise: Earned 5,000,000 credits (7,001,858)Cullen LLR Turquoise: Earned 5,000,000 credits (7,013,155)ESP LLR Turquoise: Earned 5,000,000 credits (7,130,193)Generalized Cullen/Woodall LLR Turquoise: Earned 5,000,000 credits (7,088,612)PPS LLR Turquoise: Earned 5,000,000 credits (6,346,543)PSP LLR Turquoise: Earned 5,000,000 credits (6,961,113)SoB LLR Turquoise: Earned 5,000,000 credits (6,390,120)SR5 LLR Turquoise: Earned 5,000,000 credits (6,913,425)SGS LLR Turquoise: Earned 5,000,000 credits (6,636,105)TRP LLR Turquoise: Earned 5,000,000 credits (6,707,936)Woodall LLR Turquoise: Earned 5,000,000 credits (6,877,310)321 Sieve Ruby: Earned 2,000,000 credits (3,168,353)Generalized Cullen/Woodall Sieve (suspended) Jade: Earned 10,000,000 credits (10,037,204)PPS Sieve Jade: Earned 10,000,000 credits (10,305,147)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Ruby: Earned 2,000,000 credits (2,000,053)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,030,160)AP 26/27 Jade: Earned 10,000,000 credits (10,253,048)GFN Sapphire: Earned 20,000,000 credits (26,961,323)PSA Double Bronze: Earned 100,000,000 credits (170,758,062)
Message 108951 - Posted: 14 Jul 2017 | 23:41:14 UTC - in response to Message 108949.

Short version:
Why is 17 Low worth more than 17 Mega?

Long version:
I have a spreadsheet where I keep track of the average time and points for each sub-project for each of my machines and use that to calculate (roughly) how long it will take till the next badge.
Going from GFN 15 to 22 you can clearly see an increase in the estimated points per day (regardless of GPU) except for the 17s, they look like they should be swapped around. Why is this?

Because 17-Low uses a very fast transform that quickly finds the result, whereas 17-Mega uses a very slow one. That's why it's more rewarding.

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The "Shut up already!" badge:  This loud mouth has mansplained on the forums over 10 thousand times!  Sheesh!!!Discovered the World's First GFN-19 prime!!!Discovered 1 mega primeFound 1 prime in the 2018 Tour de PrimesFound 1 prime in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Ruby: Earned 2,000,000 credits (2,822,730)Cullen LLR Ruby: Earned 2,000,000 credits (2,005,249)ESP LLR Turquoise: Earned 5,000,000 credits (5,009,577)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,145,754)PPS LLR Jade: Earned 10,000,000 credits (12,872,444)PSP LLR Turquoise: Earned 5,000,000 credits (5,197,957)SoB LLR Sapphire: Earned 20,000,000 credits (34,291,181)SR5 LLR Jade: Earned 10,000,000 credits (10,007,110)SGS LLR Ruby: Earned 2,000,000 credits (2,276,011)TRP LLR Ruby: Earned 2,000,000 credits (2,790,862)Woodall LLR Ruby: Earned 2,000,000 credits (2,195,123)321 Sieve Jade: Earned 10,000,000 credits (10,061,196)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,170,256)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,059,304)PPS Sieve Sapphire: Earned 20,000,000 credits (22,875,008)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Amethyst: Earned 1,000,000 credits (1,035,522)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,051,121)AP 26/27 Jade: Earned 10,000,000 credits (10,114,260)GFN Emerald: Earned 50,000,000 credits (72,383,585)PSA Jade: Earned 10,000,000 credits (12,445,029)
Message 108952 - Posted: 14 Jul 2017 | 23:49:11 UTC

Also, although it may appear as if there's an intentional progression, with larger GFNs getting more credit per hour, that's not the case (except for the bonuses). They use a credit formula that would, all things being equal, give identical credit rates.

There's two reasons why it's not equal.

1) Smaller GFNs advance to higher b values much more quickly. The various transforms have upper limits, and once those limits are surpassed a less efficient transform most be used. The result is that in general the smaller GFNs are less efficient and therefore have lower credit rates. Furthermore, depending on your GPU, the really big GPUs simply can't run such small problems very efficiently regardless of transform, so the credit rate drops even more.

2) For the very largest GFNs (20, 21, and 22) we provide progressively larger bonus for running the large tasks. This bonus serves two purposes: it provides incentives for running the larger tasks, which are less popular, and it compensates for an inevitably higher error rate.
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Discovered 1 mega primeFound 1 prime in the 2019 Tour de PrimesFound 1 mega prime in the 2019 Tour de Primes321 LLR Turquoise: Earned 5,000,000 credits (5,019,377)Cullen LLR Turquoise: Earned 5,000,000 credits (5,064,170)ESP LLR Turquoise: Earned 5,000,000 credits (5,001,303)Generalized Cullen/Woodall LLR Turquoise: Earned 5,000,000 credits (5,094,139)PPS LLR Turquoise: Earned 5,000,000 credits (6,021,807)PSP LLR Turquoise: Earned 5,000,000 credits (5,085,124)SoB LLR Turquoise: Earned 5,000,000 credits (5,042,051)SR5 LLR Turquoise: Earned 5,000,000 credits (5,077,248)SGS LLR Turquoise: Earned 5,000,000 credits (5,000,448)TRP LLR Turquoise: Earned 5,000,000 credits (5,003,404)Woodall LLR Turquoise: Earned 5,000,000 credits (5,035,352)321 Sieve Turquoise: Earned 5,000,000 credits (5,061,436)Generalized Cullen/Woodall Sieve (suspended) Jade: Earned 10,000,000 credits (10,012,148)PPS Sieve Double Bronze: Earned 100,000,000 credits (108,556,313)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Ruby: Earned 2,000,000 credits (2,089,865)TRP Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,297,782)AP 26/27 Emerald: Earned 50,000,000 credits (50,153,415)GFN Double Bronze: Earned 100,000,000 credits (106,065,222)PSA Emerald: Earned 50,000,000 credits (67,666,890)
Message 108954 - Posted: 15 Jul 2017 | 11:13:02 UTC - in response to Message 108950.

How far back in time are you tracking those numbers? If your data only goes back a week or two, you should be seeing the same credit rates.

It's probably been months since the 17s were updated.

GFN 17 Low used to use a more efficient transform (OCL3) than does GFN 17 Mega (OCL2). Same amount of work, but it took less time.
Also, although it may appear as if there's an intentional progression, with larger GFNs getting more credit per hour, that's not the case (except for the bonuses). They use a credit formula that would, all things being equal, give identical credit rates.

Ah, this makes more sense now. I was equating work with time, not tasks, and with a very limited understanding of how these tasks are completed I haven't paid attention when things like transforms and b values are mentioned.
I think I need to spend some time actually learning about what is going on "under the hood".

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Discovered 1 mega primeFound 5 primes in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Sapphire: Earned 20,000,000 credits (21,687,246)Cullen LLR Jade: Earned 10,000,000 credits (14,400,781)ESP LLR Jade: Earned 10,000,000 credits (10,199,396)Generalized Cullen/Woodall LLR Jade: Earned 10,000,000 credits (10,435,297)PPS LLR Sapphire: Earned 20,000,000 credits (31,287,723)PSP LLR Jade: Earned 10,000,000 credits (14,083,985)SoB LLR Sapphire: Earned 20,000,000 credits (23,866,109)SR5 LLR Jade: Earned 10,000,000 credits (11,033,776)SGS LLR Sapphire: Earned 20,000,000 credits (21,167,630)TRP LLR Jade: Earned 10,000,000 credits (10,161,877)Woodall LLR Jade: Earned 10,000,000 credits (16,841,358)321 Sieve Sapphire: Earned 20,000,000 credits (21,092,263)Generalized Cullen/Woodall Sieve (suspended) Sapphire: Earned 20,000,000 credits (21,197,128)PPS Sieve Sapphire: Earned 20,000,000 credits (36,204,540)TRP Sieve (suspended) Silver: Earned 100,000 credits (370,638)AP 26/27 Sapphire: Earned 20,000,000 credits (29,202,589)GFN Double Bronze: Earned 100,000,000 credits (139,093,838)
Message 120815 - Posted: 29 Sep 2018 | 16:35:34 UTC - in response to Message 108950.

If your data includes older GFN17 tasks (i.e., b < 8,388,608), then for GPU tasks, GFN 17 Low used to use a more efficient transform (OCL3) than does GFN 17 Mega (OCL2). Same amount of work, but it took less time. Therefore, same amount of credit, but it takes less time.

Both use the same algorithm on the CPU, however. If you were running those on you CPU, you should see almost identical credit/hour rates for both 17 Low and 17 Mega.


Hi All,

Closest thread I could find on my question. I can't determine why the averages for GPU on the higher base number (b>=42,597,774) takes 1/6 of the average time than a lower base. Moreover, the CPU average time is ~1/5 less time, which makes sense.

Only thing I can think of is PrimeGrid crunchers use more powerful GPUs for Mega, which may skew the averages PrimeGrid compiles. If crunchers have a powerful CPU, they may opt to run Low over Mega.

Listed Averages:
Generalized Fermat Prime Search n=17 (GFN-17-Low or Genefer 131072 Low)
b131072+1 (or b217+1)

Deadline: 4 days (up to 30 days)

Recent average CPU time: 11:31:23
Recent average GPU time: 2:01:14
CPU

Generalized Fermat Prime Search n=17, b>=42,597,774 (GFN-17-Mega or Genefer 131072 Mega)
b131072+1 (or b217+1), b>=42,597,774

Deadline: 4 days (up to 30 days)

Recent average CPU time: 14:55:38
Recent average GPU time: 0:23:09


Cheers,
Brendon

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The "Shut up already!" badge:  This loud mouth has mansplained on the forums over 10 thousand times!  Sheesh!!!Discovered the World's First GFN-19 prime!!!Discovered 1 mega primeFound 1 prime in the 2018 Tour de PrimesFound 1 prime in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Ruby: Earned 2,000,000 credits (2,822,730)Cullen LLR Ruby: Earned 2,000,000 credits (2,005,249)ESP LLR Turquoise: Earned 5,000,000 credits (5,009,577)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,145,754)PPS LLR Jade: Earned 10,000,000 credits (12,872,444)PSP LLR Turquoise: Earned 5,000,000 credits (5,197,957)SoB LLR Sapphire: Earned 20,000,000 credits (34,291,181)SR5 LLR Jade: Earned 10,000,000 credits (10,007,110)SGS LLR Ruby: Earned 2,000,000 credits (2,276,011)TRP LLR Ruby: Earned 2,000,000 credits (2,790,862)Woodall LLR Ruby: Earned 2,000,000 credits (2,195,123)321 Sieve Jade: Earned 10,000,000 credits (10,061,196)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,170,256)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,059,304)PPS Sieve Sapphire: Earned 20,000,000 credits (22,875,008)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Amethyst: Earned 1,000,000 credits (1,035,522)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,051,121)AP 26/27 Jade: Earned 10,000,000 credits (10,114,260)GFN Emerald: Earned 50,000,000 credits (72,383,585)PSA Jade: Earned 10,000,000 credits (12,445,029)
Message 120818 - Posted: 29 Sep 2018 | 17:08:06 UTC - in response to Message 120815.

Closest thread I could find on my question. I can't determine why the averages for GPU on the higher base number (b>=42,597,774) takes 1/6 of the average time than a lower base. Moreover, the CPU average time is ~1/5 less time, which makes sense.

Only thing I can think of is PrimeGrid crunchers use more powerful GPUs for Mega, which may skew the averages PrimeGrid compiles. If crunchers have a powerful CPU, they may opt to run Low over Mega.


Your guess is probably correct. One of the biggest problems with average run times is that there's tremendous bias introduced because people use different hardware on different tasks. People tend to use faster computers on larger tasks, and slower computers on slower tasks.

Furthermore, sometimes there's very small data sets available from which to calculate those averages, so a small number of tasks can affect the numbers.

In both pages where averages are displayed (the task selection page and the fastest GPUs page) I've tried to make the data as reliable as possible, but there's only so much I can do to normalize all the real-world conditions that affect run times.
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Discovered 7 mega primesEliminated 4 conjecture "k"sFound 2 primes in the 2018 Tour de PrimesFound 1 prime in the 2018 Tour de Primes Mountain Stage2019 Tour de Primes largest primeFound 4 primes in the 2019 Tour de PrimesFound 1 mega prime in the 2019 Tour de PrimesFound 1 prime in the 2019 Tour de Primes Mountain StageFound 1 prime in the 2020 Tour de Primes321 LLR Emerald: Earned 50,000,000 credits (62,014,050)Cullen LLR Emerald: Earned 50,000,000 credits (50,296,190)ESP LLR Emerald: Earned 50,000,000 credits (50,853,190)Generalized Cullen/Woodall LLR Emerald: Earned 50,000,000 credits (50,309,119)PPS LLR Double Bronze: Earned 100,000,000 credits (114,485,312)PSP LLR Emerald: Earned 50,000,000 credits (50,563,867)SoB LLR Emerald: Earned 50,000,000 credits (72,645,786)SR5 LLR Double Bronze: Earned 100,000,000 credits (101,883,529)SGS LLR Emerald: Earned 50,000,000 credits (53,154,727)TPS LLR (retired) Bronze: Earned 10,000 credits (43,033)TRP LLR Emerald: Earned 50,000,000 credits (57,441,313)Woodall LLR Emerald: Earned 50,000,000 credits (50,956,094)321 Sieve Double Bronze: Earned 100,000,000 credits (107,919,314)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,142,109)Generalized Cullen/Woodall Sieve (suspended) Emerald: Earned 50,000,000 credits (50,504,945)PPS Sieve Double Gold: Earned 500,000,000 credits (513,013,757)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Sapphire: Earned 20,000,000 credits (20,288,222)TRP Sieve (suspended) Sapphire: Earned 20,000,000 credits (20,149,354)AP 26/27 Double Silver: Earned 200,000,000 credits (214,118,887)GFN Double Gold: Earned 500,000,000 credits (709,898,575)PSA Double Gold: Earned 500,000,000 credits (535,231,178)
Message 120819 - Posted: 29 Sep 2018 | 17:25:49 UTC - in response to Message 120818.

Furthermore, sometimes there's very small data sets available from which to calculate those averages, so a small number of tasks can affect the numbers.

In both pages where averages are displayed (the task selection page and the fastest GPUs page) I've tried to make the data as reliable as possible, but there's only so much I can do to normalize all the real-world conditions that affect run times.


Are those times calculated based on all-time results or only recent results are considered, like last 30 days?
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The "Shut up already!" badge:  This loud mouth has mansplained on the forums over 10 thousand times!  Sheesh!!!Discovered the World's First GFN-19 prime!!!Discovered 1 mega primeFound 1 prime in the 2018 Tour de PrimesFound 1 prime in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Ruby: Earned 2,000,000 credits (2,822,730)Cullen LLR Ruby: Earned 2,000,000 credits (2,005,249)ESP LLR Turquoise: Earned 5,000,000 credits (5,009,577)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,145,754)PPS LLR Jade: Earned 10,000,000 credits (12,872,444)PSP LLR Turquoise: Earned 5,000,000 credits (5,197,957)SoB LLR Sapphire: Earned 20,000,000 credits (34,291,181)SR5 LLR Jade: Earned 10,000,000 credits (10,007,110)SGS LLR Ruby: Earned 2,000,000 credits (2,276,011)TRP LLR Ruby: Earned 2,000,000 credits (2,790,862)Woodall LLR Ruby: Earned 2,000,000 credits (2,195,123)321 Sieve Jade: Earned 10,000,000 credits (10,061,196)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,170,256)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,059,304)PPS Sieve Sapphire: Earned 20,000,000 credits (22,875,008)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Amethyst: Earned 1,000,000 credits (1,035,522)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,051,121)AP 26/27 Jade: Earned 10,000,000 credits (10,114,260)GFN Emerald: Earned 50,000,000 credits (72,383,585)PSA Jade: Earned 10,000,000 credits (12,445,029)
Message 120820 - Posted: 29 Sep 2018 | 17:35:06 UTC - in response to Message 120819.

Furthermore, sometimes there's very small data sets available from which to calculate those averages, so a small number of tasks can affect the numbers.

In both pages where averages are displayed (the task selection page and the fastest GPUs page) I've tried to make the data as reliable as possible, but there's only so much I can do to normalize all the real-world conditions that affect run times.


Are those times calculated based on all-time results or only recent results are considered, like last 30 days?


Recent results only.

We don't save long term timing data.
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Discovered 1 mega primeFound 5 primes in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Sapphire: Earned 20,000,000 credits (21,687,246)Cullen LLR Jade: Earned 10,000,000 credits (14,400,781)ESP LLR Jade: Earned 10,000,000 credits (10,199,396)Generalized Cullen/Woodall LLR Jade: Earned 10,000,000 credits (10,435,297)PPS LLR Sapphire: Earned 20,000,000 credits (31,287,723)PSP LLR Jade: Earned 10,000,000 credits (14,083,985)SoB LLR Sapphire: Earned 20,000,000 credits (23,866,109)SR5 LLR Jade: Earned 10,000,000 credits (11,033,776)SGS LLR Sapphire: Earned 20,000,000 credits (21,167,630)TRP LLR Jade: Earned 10,000,000 credits (10,161,877)Woodall LLR Jade: Earned 10,000,000 credits (16,841,358)321 Sieve Sapphire: Earned 20,000,000 credits (21,092,263)Generalized Cullen/Woodall Sieve (suspended) Sapphire: Earned 20,000,000 credits (21,197,128)PPS Sieve Sapphire: Earned 20,000,000 credits (36,204,540)TRP Sieve (suspended) Silver: Earned 100,000 credits (370,638)AP 26/27 Sapphire: Earned 20,000,000 credits (29,202,589)GFN Double Bronze: Earned 100,000,000 credits (139,093,838)
Message 120822 - Posted: 29 Sep 2018 | 18:38:39 UTC - in response to Message 120818.

In both pages where averages are displayed (the task selection page and the fastest GPUs page) I've tried to make the data as reliable as possible, but there's only so much I can do to normalize all the real-world conditions that affect run times.


Totally understand. While ranges of hardware and their averages can be listed (including whether the user multithreads or not), the webpage would appear noisy per project. Too many hardware options exist for a clean breakdown. Less is more.

In the least, it's a benchmark to try beating. :)

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321 LLR Jade: Earned 10,000,000 credits (12,924,181)Cullen LLR Turquoise: Earned 5,000,000 credits (5,039,267)ESP LLR Turquoise: Earned 5,000,000 credits (5,240,818)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,387,851)PPS LLR Ruby: Earned 2,000,000 credits (3,367,767)PSP LLR Turquoise: Earned 5,000,000 credits (6,084,153)SoB LLR Jade: Earned 10,000,000 credits (18,573,190)SR5 LLR Ruby: Earned 2,000,000 credits (3,147,812)SGS LLR Ruby: Earned 2,000,000 credits (2,921,526)TRP LLR Turquoise: Earned 5,000,000 credits (5,140,321)Woodall LLR Turquoise: Earned 5,000,000 credits (5,099,498)321 Sieve Ruby: Earned 2,000,000 credits (2,554,808)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (2,647,915)Generalized Cullen/Woodall Sieve (suspended) Jade: Earned 10,000,000 credits (11,373,349)PPS Sieve Double Bronze: Earned 100,000,000 credits (133,876,125)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Ruby: Earned 2,000,000 credits (4,080,038)TRP Sieve (suspended) Turquoise: Earned 5,000,000 credits (7,803,337)AP 26/27 Emerald: Earned 50,000,000 credits (86,305,921)GFN Double Silver: Earned 200,000,000 credits (203,508,743)PSA Double Amethyst: Earned 1,000,000,000 credits (1,859,603,638)
Message 120823 - Posted: 29 Sep 2018 | 19:15:10 UTC - in response to Message 120818.

Closest thread I could find on my question. I can't determine why the averages for GPU on the higher base number (b>=42,597,774) takes 1/6 of the average time than a lower base. Moreover, the CPU average time is ~1/5 less time, which makes sense.

Only thing I can think of is PrimeGrid crunchers use more powerful GPUs for Mega, which may skew the averages PrimeGrid compiles. If crunchers have a powerful CPU, they may opt to run Low over Mega.


Your guess is probably correct. One of the biggest problems with average run times is that there's tremendous bias introduced because people use different hardware on different tasks. People tend to use faster computers on larger tasks, and slower computers on slower tasks.

Furthermore, sometimes there's very small data sets available from which to calculate those averages, so a small number of tasks can affect the numbers.

In both pages where averages are displayed (the task selection page and the fastest GPUs page) I've tried to make the data as reliable as possible, but there's only so much I can do to normalize all the real-world conditions that affect run times.


Is it possible on the task selection page to show what GPU did most of the recent tasks, and an average based only on that GPU? If a user has a different GPU, he can easily estimate if his tasks will be faster or slower than that average.

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The "Shut up already!" badge:  This loud mouth has mansplained on the forums over 10 thousand times!  Sheesh!!!Discovered the World's First GFN-19 prime!!!Discovered 1 mega primeFound 1 prime in the 2018 Tour de PrimesFound 1 prime in the 2019 Tour de PrimesFound 1 prime in the 2020 Tour de Primes321 LLR Ruby: Earned 2,000,000 credits (2,822,730)Cullen LLR Ruby: Earned 2,000,000 credits (2,005,249)ESP LLR Turquoise: Earned 5,000,000 credits (5,009,577)Generalized Cullen/Woodall LLR Ruby: Earned 2,000,000 credits (2,145,754)PPS LLR Jade: Earned 10,000,000 credits (12,872,444)PSP LLR Turquoise: Earned 5,000,000 credits (5,197,957)SoB LLR Sapphire: Earned 20,000,000 credits (34,291,181)SR5 LLR Jade: Earned 10,000,000 credits (10,007,110)SGS LLR Ruby: Earned 2,000,000 credits (2,276,011)TRP LLR Ruby: Earned 2,000,000 credits (2,790,862)Woodall LLR Ruby: Earned 2,000,000 credits (2,195,123)321 Sieve Jade: Earned 10,000,000 credits (10,061,196)Cullen/Woodall Sieve (suspended) Ruby: Earned 2,000,000 credits (4,170,256)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (5,059,304)PPS Sieve Sapphire: Earned 20,000,000 credits (22,875,008)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Amethyst: Earned 1,000,000 credits (1,035,522)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,051,121)AP 26/27 Jade: Earned 10,000,000 credits (10,114,260)GFN Emerald: Earned 50,000,000 credits (72,383,585)PSA Jade: Earned 10,000,000 credits (12,445,029)
Message 120824 - Posted: 29 Sep 2018 | 20:17:10 UTC - in response to Message 120823.
Last modified: 29 Sep 2018 | 20:20:04 UTC

Is it possible on the task selection page to show what GPU did most of the recent tasks, and an average based only on that GPU? If a user has a different GPU, he can easily estimate if his tasks will be faster or slower than that average.


No.

What you're REALLY asking is "Can it show me how long my computer would take?" and that's impossible to answer because there's so many contributing factors on both your computer and on everyone else's computers about which the server has no information.

The only way to answer that question is to actually try running a task.
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Message boards : Generalized Fermat Prime Search : Points: 17 Low vs 17 Mega

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