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Author Topic: Question Xeon E5 2683v3 mining  (Read 190 times)
iUNeIV (OP)
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November 11, 2020, 01:06:14 AM
Last edit: November 11, 2020, 02:09:09 AM by iUNeIV
 #1

Hi,

I have one CPU E5-2683-V3.
I would like to know why when I mine with the CPU with 5 threads I have 500H/s vs 20 threadsI have the same hashrate.

How do I get more hashrate

ALGO: yescryptR16
OS: Win10

JayDDee
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November 11, 2020, 04:39:12 AM
 #2

Try 14 threads.

philipma1957
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November 11, 2020, 05:11:51 AM
 #3

basically try

3
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see results for each.

your cpu has 35 m cache most of these algorithms are cache limited.

what does 500 hash earn for that algorithm?

how much power are you pulling with 5 threads

what are your core temps.

with 5 cores
with 20,cores

▄▄███████▄▄
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▄██████████████████▄
▄████▀▀▀▀███▀▀▀▀█████▄
▄█████████████▄█▀████▄
███████████▄███████████
██████████▄█▀███████████
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nsummy
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November 11, 2020, 06:52:05 AM
 #4

The developer has a thread here that he is active in, he might be able to shed more light on this:  https://bitcointalk.org/index.php?topic=5226770.0
iUNeIV (OP)
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November 13, 2020, 12:35:53 AM
 #5

Hi,

I wonder if it's better to do a turbo unlock of the cpu?
As I saw that with 2683v3 it can be increased to 3.1GH/s?
As the first Core is at 3 GH/s and the others at 2 GH/s?

If I understood correctly, with a lot of cache memory to mine, isn't that good?

Code:
1 threads @ 135H/s
5 threads @ 488H/s = 97.6H/s * 5
7 threads @ 630H/s = 90H/s * 7
10 threads @ 591H/s = 59.1H/s * 10
20 threads @ 500H/s = 25H/s * 20

Not sure if best to use AMD Threadripper 1950X CPU with better frequency?


Test : XMRig 6.3.5 Nicehash : 2.2Kh/s only with even threads.


My Setup:
OS: Windows 10
Motherboard : MACHINIST X99
CPU : E5 2683v3
RAM :  16GB (2 x 8GB) PC4 -17000P (DDR4-2133MHz)
PSU : Rosewill 600w Gold
JayDDee
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November 13, 2020, 02:44:00 AM
 #6

Like most CPU mineable coins memory/cache is usually the bottleneck.
Unlocking boost won't help, you can't use all the compute power you already have.
Just find the number of threads that gives the best performance. Each algo is different.

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