http://gpugrid.net/result.php?resultid=32622323

http://gpugrid.net/results.php?userid=140146&offset=0&show_names=1&state=0&appid=
"e1s8_I3-ADRIA_KIXcMyb_HIP_bandit-0-2-RND3309_0 27072179 580867 14 Jun 2021 | 11:41:28 UTC 15 Jun 2021 | 20:49:28 UTC Error while computing"

Is not true. The 'Error' was NOT 'while computing'
My GPU is just fine, thank you.
LLP, PhD, 6-sigma healthcare

no need to be pedantic. the same verbiage is used no matter what kind of error it is or when it happens.

if you look at your result, you'll see the reason for the error:

<error_code>-131 (file size too big)</error_code>

Surely there is a distinction between accuracy and being "pedantic."
As I've noted elsewhere, I actually prefer to use my 1660 Ti for GpuGrid for several reasons: they publish results, their research is much more useful than some others, e.g., Collatz.
However, it is insulting to volunteers who donate their (expensive) equipment time, their KWs, etc., to waste hours and hours of same. The last WU I ran DID run successfully, and for 32.9 hours.
I will come back to GpuGrid being my preferred project as soon as they fix their problem. However 1) I am not going to waste my GPU (nor my time and effort to try to find work-arounds) 2) the true problems are more likely to be solved, and expeditiously, if the problem is correctly identified.
Ciao,
LLP, PhD Prof Engr, 6-sigma (ISO)
____________
LLP, PhD, Prof. Engr.
I think => I THINK I am.
My thinking is not the source of my being, nor does it prove my existence to you.
The Living Word of God
World Youth Day

Oh, and by the way... GPUGrid WUs are simulation runs, so the length (and size?) of WUs can be fairly well set a priori.
For many, many weeks now the WUs had been set to run on 1660 Ti (not the fastest or priciest, but a good GPU) at some 26-28 hours... quite a long run given the (obvious) risks in WU errors (and consistently just missing the 24hr mark).

Surely there is a distinction between accuracy and being "pedantic."
As I've noted elsewhere, I actually prefer to use my 1660 Ti for GpuGrid for several reasons: they publish results, their research is much more useful than some others, e.g., Collatz.
However, it is insulting to volunteers who donate their (expensive) equipment time, their KWs, etc., to waste hours and hours of same. The last WU I ran DID run successfully, and for 32.9 hours.
I will come back to GpuGrid being my preferred project as soon as they fix their problem. However 1) I am not going to waste my GPU (nor my time and effort to try to find work-arounds) 2) the true problems are more likely to be solved, and expeditiously, if the problem is correctly identified.
Ciao,
LLP, PhD Prof Engr, 6-sigma (ISO)