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(09-12-2015, 02:43 AM)epixoip Wrote: Ok. Well in the meantime I would advise observing memory utilization while the benchmark is running, maybe you can pinpoint which algorithm is causing you to run out of RAM. Or if there's just a memory leak in general.
I will do some investigation next week. Is there any way to run with verbose output for the benchmark, because all I see is this, within a few seconds:
c:\cudaHashcat-1.37>cudaHashcat64.exe -b
cudaHashcat v1.37 starting in benchmark-mode...
Device #1: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #2: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #3: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #4: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
ERROR: cuMemAllocHost() 2
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09-12-2015, 02:51 PM
(This post was last modified: 09-12-2015, 02:53 PM by rico.
Edit Reason: power usage
)
I guess you could benchmark one or two at a time instead of them all at once and observe memory usage:
Device #1: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #2: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #3: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #4: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
So the command below will benchmark Device #1 & #2:
cudaHashcat64.exe -b --gpu-devices 1,2
Might help narrow it down.
EDIT: good idea to monitor power usage too.
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So, it works when running the benchmark with 1, 2 or 3 devices simultaniously, but not with all 4, that's when the error occurs.
c:\cudaHashcat-1.37>cudaHashcat64.exe -b --gpu-devices 2,3,4
cudaHashcat v1.37 starting in benchmark-mode...
Device #2: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #3: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Device #4: GeForce GTX TITAN X, 12288MB, 1076Mhz, 24MCU
Hashtype: MD4
Workload: 1024 loops, 256 accel
Speed.GPU.#1.: 31125.0 MH/s
Speed.GPU.#2.: 31173.3 MH/s
Speed.GPU.#3.: 31202.6 MH/s
Speed.GPU.#*.: 93500.9 MH/s
----
Additional info:
There's no where near peak in host memory consumption when running for all 4 devices. It might be max just above 25% of the 32 GB (31,9) available.
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Just want to let you know, that I just tried a benchmark again, just for fun of it, and now it works, after I don't know how many driver updates and cudaHashcat v2.01 on the box... I don't know what fixed it exactly.