mfaktc: a CUDA program for Mersenne prefactoring - Page 231

TheMawn · 2015-03-03, 01:34

When MISFIT detects a stalled instance, would it be appropriate for it to try to determine if the worktodo.txt is empty, and if it is, automatically transfer work (possibly from worktodo.add) and automatically attempt to restart the instance?

This is assuming the control codes are correctly jiggered.

EDIT: I make this suggestion assuming the lack of any better way for MISFIT to determine if that is the reason mfaktx died.

EDIT: Again I don't know if this is the kind of functionality we want on the MISFIT level. Perhaps this is something better off being fixed at the mfaktx level (i.e. first thing when the program is run, merge worktodo.add with worktodo.txt)

swl551 · 2015-03-03, 02:17

Quote:

Originally Posted by TheMawn

When MISFIT detects a stalled instance, would it be appropriate for it to try to determine if the worktodo.txt is empty, and if it is, automatically transfer work (possibly from worktodo.add) and automatically attempt to restart the instance?

This is assuming the control codes are correctly jiggered.

EDIT: I make this suggestion assuming the lack of any better way for MISFIT to determine if that is the reason mfaktx died.

EDIT: Again I don't know if this is the kind of functionality we want on the MISFIT level. Perhaps this is something better off being fixed at the mfaktx level (i.e. first thing when the program is run, merge worktodo.add with worktodo.txt)

A primary goal of MISFIT is to never allow your installations to run out of work. It is possible to configure MISFIT and let everything run for months without human intervention (wait... install those windows patches every month!) If work is running out you have not configured MISFIT "correctly" -- use the work calculator.

As for restarting stalled instances.... The ONLY time I have had instances stall is due to overclocking and upon restart I found that the clock speed is always a paltry 420mhz. If MISFIT restarted the instance instead of alarming you could be running crippled and not know it. Also if you have lots of stalls you have something misconfigured with your card or a defective card. It is possible for MISFIT to do more than it does, but coding is a lot of work......

TheMawn · 2015-03-03, 03:26

Fair enough. To be clear, I am having no issues at all. Haven't had to muck around with the GPUs in weeks. I just saw you mention you were working with MISFIT when you encountered the issue where the empty worktodo.txt would prevent mfaktx from ever running and I was just bouncing ideas around in case you were actively trying to add some functionality to MISFIT to deal with that situation.

It's perfectly fine that you don't. In fact in my (very limited) coding experience, I find the "niche" cases to not be worth dealing with.

vsuite · 2015-04-03, 17:32

What is the advantage of mfaktc .21 over .20 please?

What is the advantage of 6.5 CUDA over 4.2?

Using a GTX 460 running 7.0 (compute capability 2.1) and a 640 running 6.0 (compute capability 3.0).

Thanks.

James Heinrich · 2015-04-03, 18:05

Quote:

Originally Posted by vsuite

What is the advantage of mfaktc .21 over .20 please?

Code:

version 0.21 (2015-02-17)
- added support for Wagstaff numbers: (2^p + 1)/3
- added support for "worktodo.add"
- enabled GPU sieving on CC 1.x GPUs
- dropped lower limit for exponents from 1,000,000 to 100,000
- rework selftest (-st and -st2), both now test ALL testcases, -st narrowed the searchspace (k_min < k_factor < k_max) to speedup the selftest.
- added random offset for selftest, this might detect bugs in sieve code which a static offset wouldn't find because we always test the same value.
- fixed a bug where mfaktc runs out of shared memory (GPU sieve), might be the cause for some reported (but never reproduced?) crashes. This occurs when you
  - have a GPU with relative small amount of shared memory
  - have a LOW value for GPUSievePrimes
  - have a BIG value for GPUSieveSize
- fixed a bug when GPUSieveProcessSize is set to 24 AND GPUSieveSize is not a multiple of 3 there was a relative small chance to ignore a factor.
- fixed a bug in SievePrimesAdjust causing SievePrimes where lowered to SievePrimesMin for very short running jobs
- added missing dependencies to Windows Makefiles
- (possible) speedups
  - funnel shift for CC 3.5 and above
  - slightly faster integer division for barrett_76,77,79 kernels
- lots of cleanups and removal of duplicate code
- print per-kernel-stats for selftest "-st" and "-st2"

Mark Rose · 2015-04-03, 18:48

Quote:

Originally Posted by James Heinrich

Code:

  - slightly faster integer division for barrett_76,77,79 kernels

That works out to about 1.5% ± 0.5% from what I've seen.

James Heinrich · 2015-04-03, 20:28

Quote:

Originally Posted by James Heinrich

- enabled GPU sieving on CC 1.x GPUs
- dropped lower limit for exponents from 1,000,000 to 100,000

The major feature addition for me was GPU sieving below 2⁶⁴, but that didn't make it to the changelog for some reason.

vsuite · 2015-04-03, 20:55

Thanks much.

My XP Core 2 Quad reports the .21 win32 app as not a valid Win32 application. [Also the 5.5, 6.0 and 6.5 CudaLucas, but not the 5.0 or 4.2 CudaLucas.] It should not be filesize.

James Heinrich · 2015-04-03, 21:04

Download again?
http://download.mersenne.ca/mfaktc/m...win.cuda65.zip

vsuite · 2015-04-03, 21:14

Thanks again.

preda · 2015-04-09, 15:08

After compiling 0.21 from source with Cuda toolkit 7.0, I consistently get this self-test failure (always the same number of tests passed/failed at the end). Any hints are appreciated, thanks.

Code:

mfaktc v0.21 (64bit built)

Compiletime options
  THREADS_PER_BLOCK         256
  SIEVE_SIZE_LIMIT          32kiB
  SIEVE_SIZE                193154bits
  SIEVE_SPLIT               250
  MORE_CLASSES              enabled

Runtime options
  SievePrimes               25000
  SievePrimesAdjust         1
  SievePrimesMin            5000
  SievePrimesMax            100000
  NumStreams                3
  CPUStreams                3
  GridSize                  3
  GPU Sieving               enabled
  GPUSievePrimes            82486
  GPUSieveSize              64Mi bits
  GPUSieveProcessSize       16Ki bits
  Checkpoints               enabled
  CheckpointDelay           30s
  WorkFileAddDelay          600s
  Stages                    enabled
  StopAfterFactor           bitlevel
  PrintMode                 full
  V5UserID                  (none)
  ComputerID                (none)
  AllowSleep                no
  TimeStampInResults        no

CUDA version info
  binary compiled for CUDA  7.0
  CUDA runtime version      7.0
  CUDA driver version       7.0

CUDA device info
  name                      GeForce GTX 980
  compute capability        5.2
  max threads per block     1024
  max shared memory per MP  98304 byte
  number of multiprocessors 16
  CUDA cores per MP         128
  CUDA cores - total        2048
  clock rate (CUDA cores)   1215MHz
  memory clock rate:        3505MHz
  memory bus width:         256 bit

Automatic parameters
  threads per grid          1048576
  GPUSievePrimes (adjusted) 82486
  GPUsieve minimum exponent 1055144

running a simple selftest...
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M49635893
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M51375383
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M47644171
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M51038681
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53076719
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M53123843
  no factor found
ERROR: selftest failed for M3321928703
  no factor found
ERROR: selftest failed for M3321928703
  no factor found
ERROR: selftest failed for M3321928703
  no factor found
ERROR: selftest failed for M3321928703
  no factor found
ERROR: selftest failed for M3321931973
  no factor found
ERROR: selftest failed for M3321931973
  no factor found
ERROR: selftest failed for M3321928619
  no factor found
ERROR: selftest failed for M3321928619
  no factor found
Selftest statistics
  number of tests           107
  successfull tests         51
  no factor found           56

selftest FAILED!
  random selftest offset was: 12734519

2015-03-03, 01:34	#2531
TheMawn May 2013 East. Always East. 6BF₁₆ Posts	When MISFIT detects a stalled instance, would it be appropriate for it to try to determine if the worktodo.txt is empty, and if it is, automatically transfer work (possibly from worktodo.add) and automatically attempt to restart the instance? This is assuming the control codes are correctly jiggered. EDIT: I make this suggestion assuming the lack of any better way for MISFIT to determine if that is the reason mfaktx died. EDIT: Again I don't know if this is the kind of functionality we want on the MISFIT level. Perhaps this is something better off being fixed at the mfaktx level (i.e. first thing when the program is run, merge worktodo.add with worktodo.txt) Last fiddled with by TheMawn on 2015-03-03 at 01:47

2015-04-03, 20:55	#2538
vsuite Jan 2010 2·3·19 Posts	Thanks much. My XP Core 2 Quad reports the .21 win32 app as not a valid Win32 application. [Also the 5.5, 6.0 and 6.5 CudaLucas, but not the 5.0 or 4.2 CudaLucas.] It should not be filesize. Last fiddled with by vsuite on 2015-04-03 at 21:13

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2015-03-03, 03:26	#2533
TheMawn May 2013 East. Always East. 11·157 Posts	Fair enough. To be clear, I am having no issues at all. Haven't had to muck around with the GPUs in weeks. I just saw you mention you were working with MISFIT when you encountered the issue where the empty worktodo.txt would prevent mfaktx from ever running and I was just bouncing ideas around in case you were actively trying to add some functionality to MISFIT to deal with that situation. It's perfectly fine that you don't. In fact in my (very limited) coding experience, I find the "niche" cases to not be worth dealing with.

2015-04-03, 17:32	#2534
vsuite Jan 2010 2·3·19 Posts	What is the advantage of mfaktc .21 over .20 please? What is the advantage of 6.5 CUDA over 4.2? Using a GTX 460 running 7.0 (compute capability 2.1) and a 640 running 6.0 (compute capability 3.0). Thanks.

2015-04-03, 21:04	#2539
James Heinrich "James Heinrich" May 2004 ex-Northern Ontario 23·149 Posts	Download again? http://download.mersenne.ca/mfaktc/m...win.cuda65.zip

2015-04-03, 21:14	#2540
vsuite Jan 2010 2×3×19 Posts	Thanks again.