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Published 20 hours ago • verified publisher icon firoorg

cpuminer 0.1.1 works but crashes on Xeon 2680 (segfault)

Open agentpatience opened this issue 5 years ago • 11 comments

Dual Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz Manufacturer: Supermicro Product Name: X10DRL-i

Hello DJM,

Ok, I got your cpuminer + mtp support built but after roughly 45 minutes I get:

281 [2019-03-12 17:28:37] mtp block 144094, diff 0.000 282 [2019-03-12 17:28:37] CPU #26: 2.74 kH/s 283 [2019-03-12 17:28:37] CPU #47: 2.84 kH/s 284 [2019-03-12 17:28:37] CPU #37: 2.77 kH/s 285 [2019-03-12 17:28:37] CPU #12: 2.68 kH/s 286 [2019-03-12 17:28:37] CPU #6: 2.68 kH/s 287 [2019-03-12 17:28:37] CPU #46: 2.84 kH/s 288 [2019-03-12 17:28:37] CPU #49: 2.84 kH/s 289 [2019-03-12 17:28:37] CPU #7: 2.68 kH/s 290 [2019-03-12 17:28:37] CPU #50: 2.84 kH/s 291 [2019-03-12 17:28:37] CPU #5: 2.68 kH/s 292 [2019-03-12 17:28:37] CPU #36: 2.78 kH/s 293 [2019-03-12 17:28:37] CPU #48: 2.84 kH/s 294 [2019-03-12 17:28:37] CPU #44: 2.84 kH/s 295 [2019-03-12 17:28:37] CPU #3: 2.68 kH/s 296 [2019-03-12 17:28:37] CPU #42: 2.84 kH/s 297 [2019-03-12 17:28:37] CPU #8: 2.68 kH/s 298 [2019-03-12 17:28:37] CPU #20: 2.74 kH/s 299 [2019-03-12 17:28:37] CPU #53: 2.84 kH/s 300 [2019-03-12 17:28:37] CPU #27: 2.73 kH/s 301 [2019-03-12 17:28:37] CPU #19: 2.74 kH/s 302 [2019-03-12 17:28:37] CPU #1: 2.68 kH/s 303 [2019-03-12 17:28:37] CPU #0: 2.68 kH/s 304 [2019-03-12 17:28:37] CPU #45: 2.84 kH/s 305 [2019-03-12 17:28:37] CPU #43: 2.84 kH/s 306 [2019-03-12 17:28:37] CPU #40: 2.77 kH/s 307 [2019-03-12 17:28:37] CPU #52: 2.84 kH/s 308 [2019-03-12 17:28:37] CPU #55: 2.84 kH/s 309 [2019-03-12 17:28:37] CPU #15: 2.74 kH/s 310 [2019-03-12 17:28:37] CPU #2: 2.68 kH/s 311 [2019-03-12 17:28:37] CPU #17: 2.74 kH/s 312 [2019-03-12 17:28:37] CPU #23: 2.74 kH/s 313 [2019-03-12 17:28:37] CPU #39: 2.77 kH/s 314 [2019-03-12 17:28:37] CPU #18: 2.74 kH/s 315 [2019-03-12 17:28:37] CPU #29: 2.78 kH/s 316 [2019-03-12 17:28:37] CPU #33: 2.78 kH/s 317 [2019-03-12 17:28:37] CPU #24: 2.74 kH/s 318 [2019-03-12 17:28:37] CPU #54: 2.84 kH/s 319 [2019-03-12 17:28:37] CPU #4: 2.68 kH/s 320 [2019-03-12 17:28:37] CPU #38: 2.77 kH/s 321 [2019-03-12 17:28:37] CPU #51: 2.84 kH/s 322 [2019-03-12 17:28:37] CPU #34: 2.78 kH/s 323 [2019-03-12 17:28:37] CPU #35: 2.78 kH/s 324 [2019-03-12 17:28:37] CPU #16: 2.74 kH/s 325 [2019-03-12 17:28:37] CPU #30: 2.78 kH/s 326 [2019-03-12 17:28:37] CPU #14: 2.74 kH/s 327 [2019-03-12 17:28:37] CPU #11: 2.68 kH/s 328 [2019-03-12 17:28:37] CPU #9: 2.68 kH/s 329 [2019-03-12 17:28:37] CPU #21: 2.74 kH/s 330 [2019-03-12 17:28:37] CPU #32: 2.78 kH/s 331 [2019-03-12 17:28:37] CPU #25: 2.74 kH/s 332 [2019-03-12 17:28:37] CPU #31: 2.78 kH/s 333 [2019-03-12 17:28:37] CPU #13: 2.68 kH/s 334 [2019-03-12 17:28:37] CPU #22: 2.74 kH/s 335 [2019-03-12 17:28:37] CPU #10: 2.68 kH/s 336 [2019-03-12 17:28:37] CPU #28: 2.78 kH/s 337 [2019-03-12 17:28:37] CPU #41: 2.78 kH/s 338 Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory 339 Step 2 : Compute the root Φ of the Merkle hash tree 340 end Step 2 : Compute the root Φ of the Merkle hash tree 341 Segmentation fault (core dumped)

How can I fix it?

agentpatience avatar Mar 12 '19 17:03 agentpatience

I pulled off git but cpuminer once it running says: ** cpuminer-multi 0.1.0 by djm34 ** not 0.1.1.

agentpatience avatar Mar 12 '19 18:03 agentpatience

Ok, I run it again and around 45 minutes it stops working(seg fault, core dump). Here is the full output:

./cpuminer -a mtp -o stratum+tcp://xzc.2miners.com:8080 -u a1jdNZbAdNKCh33VdJtCvdjnXc4VbSXmfC.2980 -p x ** cpuminer-multi 0.1.0 by djm34 ** BTC donation address: 1NENYmxwZGHsKFmyjTc5WferTn5VTFb7Ze (djm34) ZCoin donation address: aChWVb8CpgajadpLmiwDZvZaKizQgHxfh5 (djm34)

[2019-03-12 18:04:19] Starting Stratum on stratum+tcp://xzc.2miners.com:8080 [2019-03-12 18:04:20] 56 miner threads started, using 'mtp' algorithm. [2019-03-12 18:04:24] Stratum difficulty set to 1 (0.00000) Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:04:41] xzc.2miners.com:8080 mtp block 144102 [2019-03-12 18:04:41] CPU #49: 0.84 kH/s [2019-03-12 18:04:41] CPU #16: 0.81 kH/s [2019-03-12 18:04:41] CPU #3: 0.85 kH/s [2019-03-12 18:04:41] CPU #42: 0.84 kH/s [2019-03-12 18:04:41] CPU #29: 0.88 kH/s [2019-03-12 18:04:41] CPU #5: 0.85 kH/s [2019-03-12 18:04:41] CPU #0: 0.84 kH/s [2019-03-12 18:04:41] CPU #51: 0.84 kH/s [2019-03-12 18:04:41] CPU #34: 0.88 kH/s [2019-03-12 18:04:41] CPU #23: 0.81 kH/s [2019-03-12 18:04:41] CPU #39: 0.88 kH/s [2019-03-12 18:04:41] CPU #7: 0.85 kH/s [2019-03-12 18:04:41] CPU #26: 0.81 kH/s [2019-03-12 18:04:41] CPU #46: 0.84 kH/s [2019-03-12 18:04:41] CPU #41: 0.88 kH/s [2019-03-12 18:04:41] CPU #21: 0.81 kH/s [2019-03-12 18:04:41] CPU #24: 0.81 kH/s [2019-03-12 18:04:41] CPU #18: 0.81 kH/s [2019-03-12 18:04:41] CPU #33: 0.88 kH/s [2019-03-12 18:04:41] CPU #9: 0.85 kH/s [2019-03-12 18:04:41] CPU #20: 0.81 kH/s [2019-03-12 18:04:41] CPU #12: 0.85 kH/s [2019-03-12 18:04:41] CPU #11: 0.85 kH/s [2019-03-12 18:04:41] CPU #1: 0.84 kH/s [2019-03-12 18:04:41] CPU #8: 0.85 kH/s [2019-03-12 18:04:41] CPU #25: 0.81 kH/s [2019-03-12 18:04:41] CPU #32: 0.88 kH/s [2019-03-12 18:04:41] CPU #48: 0.84 kH/s [2019-03-12 18:04:41] CPU #30: 0.88 kH/s [2019-03-12 18:04:41] CPU #44: 0.84 kH/s [2019-03-12 18:04:41] CPU #55: 0.84 kH/s [2019-03-12 18:04:41] CPU #36: 0.88 kH/s [2019-03-12 18:04:41] CPU #54: 0.84 kH/s [2019-03-12 18:04:41] CPU #35: 0.88 kH/s [2019-03-12 18:04:41] CPU #2: 0.85 kH/s [2019-03-12 18:04:41] CPU #50: 0.84 kH/s [2019-03-12 18:04:41] CPU #28: 0.88 kH/s [2019-03-12 18:04:41] CPU #37: 0.88 kH/s [2019-03-12 18:04:41] CPU #38: 0.88 kH/s [2019-03-12 18:04:41] CPU #10: 0.85 kH/s [2019-03-12 18:04:41] CPU #4: 0.85 kH/s [2019-03-12 18:04:41] CPU #13: 0.85 kH/s [2019-03-12 18:04:41] CPU #6: 0.85 kH/s [2019-03-12 18:04:41] CPU #14: 0.81 kH/s [2019-03-12 18:04:41] CPU #19: 0.81 kH/s [2019-03-12 18:04:41] CPU #43: 0.84 kH/s [2019-03-12 18:04:41] CPU #53: 0.84 kH/s [2019-03-12 18:04:41] CPU #27: 0.81 kH/s [2019-03-12 18:04:41] CPU #31: 0.88 kH/s [2019-03-12 18:04:41] CPU #52: 0.84 kH/s [2019-03-12 18:04:41] CPU #15: 0.81 kH/s [2019-03-12 18:04:41] CPU #45: 0.84 kH/s [2019-03-12 18:04:41] CPU #17: 0.81 kH/s [2019-03-12 18:04:41] CPU #40: 0.88 kH/s [2019-03-12 18:04:41] CPU #47: 0.84 kH/s [2019-03-12 18:04:41] CPU #22: 0.81 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:05:29] xzc.2miners.com:8080 mtp block 144103 [2019-03-12 18:05:29] CPU #22: 2.34 kH/s [2019-03-12 18:05:29] CPU #25: 2.34 kH/s [2019-03-12 18:05:29] CPU #47: 2.43 kH/s [2019-03-12 18:05:29] CPU #20: 2.34 kH/s [2019-03-12 18:05:29] CPU #39: 2.37 kH/s [2019-03-12 18:05:29] CPU #52: 2.42 kH/s [2019-03-12 18:05:29] CPU #41: 2.38 kH/s [2019-03-12 18:05:29] CPU #31: 2.38 kH/s [2019-03-12 18:05:29] CPU #21: 2.34 kH/s [2019-03-12 18:05:29] CPU #53: 2.42 kH/s [2019-03-12 18:05:29] CPU #0: 2.29 kH/s [2019-03-12 18:05:29] CPU #14: 2.33 kH/s [2019-03-12 18:05:29] CPU #2: 2.29 kH/s [2019-03-12 18:05:29] CPU #36: 2.38 kH/s [2019-03-12 18:05:29] CPU #13: 2.29 kH/s [2019-03-12 18:05:29] CPU #30: 2.38 kH/s [2019-03-12 18:05:29] CPU #49: 2.42 kH/s [2019-03-12 18:05:29] CPU #8: 2.30 kH/s [2019-03-12 18:05:29] CPU #29: 2.38 kH/s [2019-03-12 18:05:29] CPU #11: 2.29 kH/s [2019-03-12 18:05:29] CPU #17: 2.34 kH/s [2019-03-12 18:05:29] CPU #43: 2.43 kH/s [2019-03-12 18:05:29] CPU #40: 2.37 kH/s [2019-03-12 18:05:29] CPU #7: 2.30 kH/s [2019-03-12 18:05:29] CPU #6: 2.30 kH/s [2019-03-12 18:05:29] CPU #37: 2.37 kH/s [2019-03-12 18:05:29] CPU #9: 2.29 kH/s [2019-03-12 18:05:29] CPU #5: 2.30 kH/s [2019-03-12 18:05:29] CPU #24: 2.34 kH/s [2019-03-12 18:05:29] CPU #28: 2.38 kH/s [2019-03-12 18:05:29] CPU #51: 2.42 kH/s [2019-03-12 18:05:29] CPU #4: 2.30 kH/s [2019-03-12 18:05:29] CPU #35: 2.38 kH/s [2019-03-12 18:05:29] CPU #16: 2.34 kH/s [2019-03-12 18:05:29] CPU #33: 2.38 kH/s [2019-03-12 18:05:29] CPU #15: 2.33 kH/s [2019-03-12 18:05:29] CPU #32: 2.38 kH/s [2019-03-12 18:05:29] CPU #44: 2.42 kH/s [2019-03-12 18:05:29] CPU #42: 2.42 kH/s [2019-03-12 18:05:29] CPU #18: 2.34 kH/s [2019-03-12 18:05:29] CPU #55: 2.42 kH/s [2019-03-12 18:05:29] CPU #23: 2.34 kH/s [2019-03-12 18:05:29] CPU #50: 2.43 kH/s [2019-03-12 18:05:29] CPU #3: 2.29 kH/s [2019-03-12 18:05:29] CPU #45: 2.42 kH/s [2019-03-12 18:05:29] CPU #1: 2.30 kH/s [2019-03-12 18:05:29] CPU #54: 2.42 kH/s [2019-03-12 18:05:29] CPU #26: 2.34 kH/s [2019-03-12 18:05:29] CPU #48: 2.43 kH/s [2019-03-12 18:05:29] CPU #46: 2.42 kH/s [2019-03-12 18:05:29] CPU #10: 2.29 kH/s [2019-03-12 18:05:29] CPU #12: 2.29 kH/s [2019-03-12 18:05:29] CPU #38: 2.37 kH/s [2019-03-12 18:05:29] CPU #34: 2.38 kH/s [2019-03-12 18:05:29] CPU #27: 2.34 kH/s [2019-03-12 18:05:29] CPU #19: 2.34 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:11:08] xzc.2miners.com:8080 mtp block 144104 [2019-03-12 18:11:08] CPU #42: 3.26 kH/s [2019-03-12 18:11:08] CPU #18: 3.14 kH/s [2019-03-12 18:11:08] CPU #51: 3.26 kH/s [2019-03-12 18:11:08] CPU #27: 3.14 kH/s [2019-03-12 18:11:08] CPU #25: 3.14 kH/s [2019-03-12 18:11:08] CPU #44: 3.25 kH/s [2019-03-12 18:11:08] CPU #23: 3.14 kH/s [2019-03-12 18:11:08] CPU #19: 3.14 kH/s [2019-03-12 18:11:08] CPU #28: 3.23 kH/s [2019-03-12 18:11:08] CPU #7: 3.11 kH/s [2019-03-12 18:11:08] CPU #43: 3.26 kH/s [2019-03-12 18:11:08] CPU #55: 3.26 kH/s [2019-03-12 18:11:08] CPU #9: 3.11 kH/s [2019-03-12 18:11:08] CPU #10: 3.11 kH/s [2019-03-12 18:11:08] CPU #49: 3.26 kH/s [2019-03-12 18:11:08] CPU #3: 3.11 kH/s [2019-03-12 18:11:08] CPU #52: 3.26 kH/s [2019-03-12 18:11:08] CPU #35: 3.23 kH/s [2019-03-12 18:11:08] CPU #11: 3.11 kH/s [2019-03-12 18:11:08] CPU #30: 3.23 kH/s [2019-03-12 18:11:08] CPU #26: 3.14 kH/s [2019-03-12 18:11:08] CPU #29: 3.23 kH/s [2019-03-12 18:11:08] CPU #22: 3.14 kH/s [2019-03-12 18:11:08] CPU #16: 3.14 kH/s [2019-03-12 18:11:08] CPU #54: 3.26 kH/s [2019-03-12 18:11:08] CPU #50: 3.26 kH/s [2019-03-12 18:11:08] CPU #13: 3.11 kH/s [2019-03-12 18:11:08] CPU #6: 3.12 kH/s [2019-03-12 18:11:08] CPU #40: 3.23 kH/s [2019-03-12 18:11:08] CPU #8: 3.12 kH/s [2019-03-12 18:11:08] CPU #34: 3.23 kH/s [2019-03-12 18:11:08] CPU #5: 3.12 kH/s [2019-03-12 18:11:08] CPU #24: 3.14 kH/s [2019-03-12 18:11:08] CPU #36: 3.23 kH/s [2019-03-12 18:11:08] CPU #53: 3.26 kH/s [2019-03-12 18:11:08] CPU #14: 3.14 kH/s [2019-03-12 18:11:08] CPU #12: 3.11 kH/s [2019-03-12 18:11:08] CPU #33: 3.23 kH/s [2019-03-12 18:11:08] CPU #45: 3.26 kH/s [2019-03-12 18:11:08] CPU #47: 3.26 kH/s [2019-03-12 18:11:08] CPU #4: 3.11 kH/s [2019-03-12 18:11:08] CPU #0: 3.11 kH/s [2019-03-12 18:11:08] CPU #38: 3.22 kH/s [2019-03-12 18:11:08] CPU #17: 3.14 kH/s [2019-03-12 18:11:08] CPU #37: 3.22 kH/s [2019-03-12 18:11:08] CPU #48: 3.26 kH/s [2019-03-12 18:11:08] CPU #20: 3.14 kH/s [2019-03-12 18:11:08] CPU #15: 3.14 kH/s [2019-03-12 18:11:08] CPU #41: 3.23 kH/s [2019-03-12 18:11:08] CPU #21: 3.14 kH/s [2019-03-12 18:11:08] CPU #31: 3.23 kH/s [2019-03-12 18:11:08] CPU #1: 3.11 kH/s [2019-03-12 18:11:08] CPU #39: 3.23 kH/s [2019-03-12 18:11:08] CPU #46: 3.26 kH/s [2019-03-12 18:11:08] CPU #32: 3.23 kH/s [2019-03-12 18:11:08] CPU #2: 3.11 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:12:19] xzc.2miners.com:8080 mtp block 144105 [2019-03-12 18:12:19] CPU #55: 2.77 kH/s [2019-03-12 18:12:19] CPU #46: 2.77 kH/s [2019-03-12 18:12:19] CPU #41: 2.71 kH/s [2019-03-12 18:12:19] CPU #42: 2.77 kH/s [2019-03-12 18:12:19] CPU #7: 2.62 kH/s [2019-03-12 18:12:19] CPU #32: 2.71 kH/s [2019-03-12 18:12:19] CPU #39: 2.70 kH/s [2019-03-12 18:12:19] CPU #25: 2.67 kH/s [2019-03-12 18:12:19] CPU #37: 2.70 kH/s [2019-03-12 18:12:19] CPU #48: 2.77 kH/s [2019-03-12 18:12:19] CPU #33: 2.71 kH/s [2019-03-12 18:12:19] CPU #18: 2.67 kH/s [2019-03-12 18:12:19] CPU #44: 2.77 kH/s [2019-03-12 18:12:19] CPU #1: 2.62 kH/s [2019-03-12 18:12:19] CPU #3: 2.62 kH/s [2019-03-12 18:12:19] CPU #9: 2.61 kH/s [2019-03-12 18:12:19] CPU #49: 2.77 kH/s [2019-03-12 18:12:19] CPU #38: 2.70 kH/s [2019-03-12 18:12:19] CPU #8: 2.62 kH/s [2019-03-12 18:12:19] CPU #2: 2.62 kH/s [2019-03-12 18:12:19] CPU #6: 2.62 kH/s [2019-03-12 18:12:19] CPU #31: 2.71 kH/s [2019-03-12 18:12:19] CPU #15: 2.67 kH/s [2019-03-12 18:12:19] CPU #34: 2.71 kH/s [2019-03-12 18:12:19] CPU #36: 2.71 kH/s [2019-03-12 18:12:19] CPU #52: 2.77 kH/s [2019-03-12 18:12:19] CPU #19: 2.67 kH/s [2019-03-12 18:12:19] CPU #53: 2.77 kH/s [2019-03-12 18:12:19] CPU #43: 2.77 kH/s [2019-03-12 18:12:19] CPU #12: 2.61 kH/s [2019-03-12 18:12:19] CPU #22: 2.67 kH/s [2019-03-12 18:12:19] CPU #47: 2.77 kH/s [2019-03-12 18:12:19] CPU #17: 2.67 kH/s [2019-03-12 18:12:19] CPU #0: 2.61 kH/s [2019-03-12 18:12:19] CPU #26: 2.67 kH/s [2019-03-12 18:12:19] CPU #14: 2.67 kH/s [2019-03-12 18:12:19] CPU #4: 2.62 kH/s [2019-03-12 18:12:19] CPU #16: 2.67 kH/s [2019-03-12 18:12:19] CPU #11: 2.61 kH/s [2019-03-12 18:12:19] CPU #50: 2.77 kH/s [2019-03-12 18:12:19] CPU #29: 2.71 kH/s [2019-03-12 18:12:19] CPU #54: 2.77 kH/s [2019-03-12 18:12:19] CPU #51: 2.77 kH/s [2019-03-12 18:12:19] CPU #24: 2.67 kH/s [2019-03-12 18:12:19] CPU #20: 2.67 kH/s [2019-03-12 18:12:19] CPU #28: 2.71 kH/s [2019-03-12 18:12:19] CPU #10: 2.61 kH/s [2019-03-12 18:12:19] CPU #13: 2.61 kH/s [2019-03-12 18:12:19] CPU #35: 2.71 kH/s [2019-03-12 18:12:19] CPU #23: 2.67 kH/s [2019-03-12 18:12:19] CPU #40: 2.71 kH/s [2019-03-12 18:12:19] CPU #5: 2.62 kH/s [2019-03-12 18:12:19] CPU #30: 2.71 kH/s [2019-03-12 18:12:19] CPU #45: 2.77 kH/s [2019-03-12 18:12:19] CPU #21: 2.67 kH/s [2019-03-12 18:12:19] CPU #27: 2.67 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:15:04] xzc.2miners.com:8080 mtp block 144106 [2019-03-12 18:15:04] CPU #26: 3.03 kH/s [2019-03-12 18:15:04] CPU #43: 3.14 kH/s [2019-03-12 18:15:04] CPU #32: 3.07 kH/s [2019-03-12 18:15:04] CPU #35: 3.07 kH/s [2019-03-12 18:15:04] CPU #30: 3.07 kH/s [2019-03-12 18:15:04] CPU #15: 3.03 kH/s [2019-03-12 18:15:04] CPU #37: 3.06 kH/s [2019-03-12 18:15:04] CPU #20: 3.03 kH/s [2019-03-12 18:15:04] CPU #6: 2.97 kH/s [2019-03-12 18:15:04] CPU #48: 3.15 kH/s [2019-03-12 18:15:04] CPU #3: 2.97 kH/s [2019-03-12 18:15:04] CPU #24: 3.03 kH/s [2019-03-12 18:15:04] CPU #55: 3.14 kH/s [2019-03-12 18:15:04] CPU #19: 3.03 kH/s [2019-03-12 18:15:04] CPU #47: 3.15 kH/s [2019-03-12 18:15:04] CPU #11: 2.96 kH/s [2019-03-12 18:15:04] CPU #27: 3.03 kH/s [2019-03-12 18:15:04] CPU #21: 3.03 kH/s [2019-03-12 18:15:04] CPU #50: 3.15 kH/s [2019-03-12 18:15:04] CPU #38: 3.06 kH/s [2019-03-12 18:15:04] CPU #7: 2.97 kH/s [2019-03-12 18:15:04] CPU #42: 3.15 kH/s [2019-03-12 18:15:04] CPU #10: 2.95 kH/s [2019-03-12 18:15:04] CPU #46: 3.14 kH/s [2019-03-12 18:15:04] CPU #45: 3.14 kH/s [2019-03-12 18:15:04] CPU #52: 3.15 kH/s [2019-03-12 18:15:04] CPU #18: 3.03 kH/s [2019-03-12 18:15:04] CPU #12: 2.96 kH/s [2019-03-12 18:15:04] CPU #49: 3.15 kH/s [2019-03-12 18:15:04] CPU #28: 3.07 kH/s [2019-03-12 18:15:04] CPU #22: 3.03 kH/s [2019-03-12 18:15:04] CPU #17: 3.03 kH/s [2019-03-12 18:15:04] CPU #29: 3.07 kH/s [2019-03-12 18:15:04] CPU #4: 2.97 kH/s [2019-03-12 18:15:04] CPU #54: 3.14 kH/s [2019-03-12 18:15:04] CPU #8: 2.97 kH/s [2019-03-12 18:15:04] CPU #34: 3.07 kH/s [2019-03-12 18:15:04] CPU #2: 2.97 kH/s [2019-03-12 18:15:04] CPU #16: 3.03 kH/s [2019-03-12 18:15:04] CPU #5: 2.97 kH/s [2019-03-12 18:15:04] CPU #14: 3.03 kH/s [2019-03-12 18:15:04] CPU #0: 2.96 kH/s [2019-03-12 18:15:04] CPU #13: 2.96 kH/s [2019-03-12 18:15:04] CPU #9: 2.96 kH/s [2019-03-12 18:15:04] CPU #33: 3.07 kH/s [2019-03-12 18:15:04] CPU #25: 3.03 kH/s [2019-03-12 18:15:04] CPU #41: 3.07 kH/s [2019-03-12 18:15:04] CPU #44: 3.14 kH/s [2019-03-12 18:15:04] CPU #23: 3.03 kH/s [2019-03-12 18:15:04] CPU #40: 3.07 kH/s [2019-03-12 18:15:04] CPU #51: 3.15 kH/s [2019-03-12 18:15:04] CPU #53: 3.15 kH/s [2019-03-12 18:15:04] CPU #39: 3.07 kH/s [2019-03-12 18:15:04] CPU #36: 3.07 kH/s [2019-03-12 18:15:04] CPU #31: 3.07 kH/s [2019-03-12 18:15:04] CPU #1: 2.97 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree [2019-03-12 18:19:29] xzc.2miners.com:8080 mtp block 144107 [2019-03-12 18:19:29] CPU #21: 3.12 kH/s [2019-03-12 18:19:29] CPU #16: 3.12 kH/s [2019-03-12 18:19:29] CPU #19: 3.12 kH/s [2019-03-12 18:19:29] CPU #45: 3.24 kH/s [2019-03-12 18:19:29] CPU #26: 3.12 kH/s [2019-03-12 18:19:29] CPU #14: 3.12 kH/s [2019-03-12 18:19:29] CPU #27: 3.12 kH/s [2019-03-12 18:19:29] CPU #8: 3.07 kH/s [2019-03-12 18:19:29] CPU #54: 3.24 kH/s [2019-03-12 18:19:29] CPU #7: 3.07 kH/s [2019-03-12 18:19:29] CPU #23: 3.12 kH/s [2019-03-12 18:19:29] CPU #6: 3.07 kH/s [2019-03-12 18:19:29] CPU #39: 3.17 kH/s [2019-03-12 18:19:29] CPU #38: 3.17 kH/s [2019-03-12 18:19:29] CPU #24: 3.12 kH/s [2019-03-12 18:19:29] CPU #53: 3.24 kH/s [2019-03-12 18:19:29] CPU #2: 3.07 kH/s [2019-03-12 18:19:29] CPU #41: 3.18 kH/s [2019-03-12 18:19:29] CPU #20: 3.12 kH/s [2019-03-12 18:19:29] CPU #51: 3.24 kH/s [2019-03-12 18:19:29] CPU #9: 3.05 kH/s [2019-03-12 18:19:29] CPU #55: 3.24 kH/s [2019-03-12 18:19:29] CPU #52: 3.24 kH/s [2019-03-12 18:19:29] CPU #3: 3.06 kH/s [2019-03-12 18:19:29] CPU #18: 3.12 kH/s [2019-03-12 18:19:29] CPU #43: 3.24 kH/s [2019-03-12 18:19:29] CPU #22: 3.12 kH/s [2019-03-12 18:19:29] CPU #32: 3.18 kH/s [2019-03-12 18:19:29] CPU #47: 3.24 kH/s [2019-03-12 18:19:29] CPU #11: 3.06 kH/s [2019-03-12 18:19:29] CPU #17: 3.12 kH/s [2019-03-12 18:19:29] CPU #37: 3.17 kH/s [2019-03-12 18:19:29] CPU #34: 3.18 kH/s [2019-03-12 18:19:29] CPU #25: 3.12 kH/s [2019-03-12 18:19:29] CPU #44: 3.24 kH/s [2019-03-12 18:19:29] CPU #49: 3.24 kH/s [2019-03-12 18:19:29] CPU #0: 3.06 kH/s [2019-03-12 18:19:29] CPU #33: 3.18 kH/s [2019-03-12 18:19:29] CPU #30: 3.18 kH/s [2019-03-12 18:19:29] CPU #13: 3.06 kH/s [2019-03-12 18:19:29] CPU #31: 3.17 kH/s [2019-03-12 18:19:29] CPU #50: 3.24 kH/s [2019-03-12 18:19:29] CPU #48: 3.24 kH/s [2019-03-12 18:19:29] CPU #4: 3.07 kH/s [2019-03-12 18:19:29] CPU #29: 3.18 kH/s [2019-03-12 18:19:29] CPU #42: 3.24 kH/s [2019-03-12 18:19:29] CPU #10: 3.06 kH/s [2019-03-12 18:19:29] CPU #1: 3.07 kH/s [2019-03-12 18:19:29] CPU #46: 3.24 kH/s [2019-03-12 18:19:29] CPU #28: 3.17 kH/s [2019-03-12 18:19:29] CPU #36: 3.18 kH/s [2019-03-12 18:19:29] CPU #5: 3.07 kH/s [2019-03-12 18:19:29] CPU #40: 3.16 kH/s [2019-03-12 18:19:29] CPU #35: 3.18 kH/s [2019-03-12 18:19:29] CPU #12: 3.05 kH/s [2019-03-12 18:19:29] CPU #15: 3.12 kH/s Step 1 : Compute F(I) and store its T blocks X[1], X[2], ..., X[T] in the memory Step 2 : Compute the root Φ of the Merkle hash tree end Step 2 : Compute the root Φ of the Merkle hash tree Segmentation fault (core dumped)

agentpatience avatar Mar 12 '19 18:03 agentpatience

Hi. Please stop flooding. Everyone who is watching this repo gets an email every time you post. I muted the previous issue but now there is a new one that has already generated 4 new emails.

If you need to update your post, please use the edit button.

Thanks.

kachind avatar Mar 12 '19 19:03 kachind

lol can you run on mintpond , where you can adjust your difficulty, you don't seem to find any share. All I can do for now, is to run expecting getting a crash. The ideal would be to run with gdb so it gives some indication where it crashes.

djm34 avatar Mar 12 '19 19:03 djm34

Sorry about flood. I thought posting all the output would be needed.

djm- Ok, can you tell me how to run it with gdb? I am just learning about programming. I will try on mintpond now.

agentpatience avatar Mar 12 '19 19:03 agentpatience

gdb --args ./cpuminer -a mtp -o stratum+tcp://zcoin.mintpond.com:3000 -u aDn7MMYjVQqenT11VFDYHfFdwXmSTRUTak.worker -p 0,d=6,verbose,strict

and once inside gdb "run" (and exit at the end). Just report the part relevant to the crash thanks

djm34 avatar Mar 12 '19 19:03 djm34

Hi DJM, Seems to be much more stable on mintpond pool and able to run over an hour now and I get: [2019-03-12 21:10:26] CPU #43: 3.40 kH/s [2019-03-12 21:10:26] CPU #54: 3.40 kH/s [2019-03-12 21:10:26] CPU #50: 3.40 kH/s [2019-03-12 21:10:26] CPU #45: 3.40 kH/s [2019-03-12 21:10:28] accepted: 258/258 (diff 0.000), 185.18 kH/s yes!

The segfault maybe related to no accepted shares on 2miners pool... so I will use this pool and leave the server run overnight using gdb. Thanks for explaining to me the gdb steps for debugging. I will use gdb to run debugging on AMD server tonight as well. mintpool

agentpatience avatar Mar 12 '19 21:03 agentpatience

increase the min difficulty to the 100-200 range since your hashrate is around 185kh/s, your hashrate will be better accounted on mintpond

djm34 avatar Mar 12 '19 21:03 djm34

Good news, dual Xeon 2680v4 on Ubuntu 18.10 server still running cpuminer on mintpond pool.

My observations so far:

  • The pool hashrate on mintpond for my miner reports the 20 minute average is 25-30 kH/s.
  • CPUminer outputs momentarily showing 185.18 kH/s.

I am wondering why there such a big difference in the reported hash-rates?

agentpatience avatar Mar 12 '19 22:03 agentpatience

increase the min difficulty to the 100-200 range since your hashrate is around 185kh/s, your hashrate will be better accounted on mintpond

How to increase min hash rate?

agentpatience avatar Mar 12 '19 23:03 agentpatience

as written in my previous message: you need to increase the minimum difficulty. Your minimum difficulty here is d=6 from the command line "-p 0,d=6,verbose,strict", you need to increase d to 100 or 200. This way you'll get a better report of the hashrate on mintpond. I believe the problem is in mintpond algorithm to estimate hashrate which is probably most likely non linear (or not reliable at low difficulty), by increasing the 100 or 200, it should be better.

djm34 avatar Mar 12 '19 23:03 djm34