Quote from: brainless on April 21, 2020, 07:39:13 PM

today jeanluc post Kangaroo for cpu
its much fast and better then alek76 gpu version check his link and results

Please do not make laugh ...
Done: Total time 14:30 for bits 65 - you might think this is a great achievement?
Here is the result of bits 65:

Code:

[###########################################################]
[# Pollard-kangaroo PrivKey Recovery Tool #]
[# (based on engine of VanitySearch 1.15) #]
[# bitcoin ecdsa secp256k1 #]
[# ver 0.01 GPU Hybrid v4F #]
[# GPU implementation changes by alek76 #]
[# Tips: 1NULY7DhzuNvSDtPkFzNo6oRTZQWBqXNE9 #]
[###########################################################]
[DATE(utc)] 22 Apr 2020 11:36:24
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits] 65
[Wsqrt] (2^32) 100000000
[M] 18000000000000000
[rangeW] 2^64..2^65 ; W = U - L = 2^64
[DPsize] 1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#65] loaded
[Xcoordinate] 30210C23B1A047BC9BDBB13448E67DEDDC108946DE6DE639BCC75D47C0216B1B
[Ycoordinate] E383C4A8ED4FAC77C0D2AD737D8499A362F483F8FE39D1E86AAED578A9455DFC
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^30
[i] New DPmodule: 2^24
[DPmodule] 2^24 = 16777216 (0x0000000001000000)
[+] 0T+0W kangaroos - ready
[CPU] threads: 0
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 80000000
[meanjumpsize#36] 71C71C71(now) <= 80000000(optimal) <= DD67C8A6(next)
[i] Sp[36]|-------J----------------------------------------------------|Sp[37]
[JmaxofSp] Sp[36]=71C71C71 nearer to optimal mean jumpsize of Sp set
GPUEngine: Fixed DPmodule: 0x100000 2^20 Hop_modulo: 44 Power: 8
GPU: GPU #0 Tesla P100-PCIE-16GB (56x64 cores) Grid(448x32)
GPU Bits: 65
GPU Tame Points: [M] + Rand(pow2W-0)
GPU Tame Starting Key 0: 18000000000000000
GPU Tame Starting Key 1: 1E6E45322C3890E37
GPU Tame Starting Key 2: 1E6E3723EAB526D75
GPU Tame Starting Key 3: 23F77C67267D21420
GPU Tame Starting Key 4: 1A9EA95EC3AC00B51
GPU Tame Starting Key 5: 229C75B8EDBF9679D
GPU Tame Starting Key 6: 18B55D3EA28F62EF4
GPU Tame Starting Key 7: 2405D53F5AAB26889
GPU Tame Starting Key 8: 1DE9F8776A9809FF0
GPU Tame Starting Key 9: 229D036614B55BFDC
GPU Tame Starting Key 14335: 1F75818E4EF7ED499 Thread: 14336

GPU Wild Points: [Target] + Rand(pow2W-0)
GPU Wild Starting Key 0: 571F024EFD86F0D9
GPU Wild Starting Key 1: D29F8E60BABC73F1
GPU Wild Starting Key 2: 65734CED28058FB8
GPU Wild Starting Key 3: C64ACEC9173E1E85
GPU Wild Starting Key 4: C724B1CAF1B75259
GPU Wild Starting Key 5: 1C280842A6894D4D
GPU Wild Starting Key 6: 3EBE49ADF30BA67
GPU Wild Starting Key 7: 8142470878616EC6
GPU Wild Starting Key 8: 4B8AA13710A82498
GPU Wild Starting Key 9: FF70B1EB27D57797
GPU Wild Starting Key 14335: 93CB25F3B60A6DFC Thread: 14336

[i] Used Comparator in Python
[+] Runing Comparator every: 32 sec

Python Comparator time: 22.865 msec
[-][ 0: 0:32 ; 38.6M j/s; [GPU 38.64 Mj/s] 1.0Gj 14.4%; dp/kgr=0.0; 0: 3:10 ]
Python Comparator time: 28.428 msec
[-][ 0: 1: 4 ; 38.6M j/s; [GPU 38.64 Mj/s] 2.0Gj 28.8%; dp/kgr=0.0; 0: 2:38 ]
Python Comparator time: 30.109 msec
[-][ 0: 1:36 ; 38.7M j/s; [GPU 38.70 Mj/s] 3.0Gj 43.1%; dp/kgr=0.0; 0: 2: 6 ]
Python Comparator time: 33.209 msec
[-][ 0: 2: 8 ; 38.6M j/s; [GPU 38.64 Mj/s] 4.0Gj 57.5%; dp/kgr=0.0; 0: 1:34 ]
Python Comparator time: 38.051 msec
[-][ 0: 2:40 ; 38.6M j/s; [GPU 38.64 Mj/s] 6.0Gj 72.0%; dp/kgr=0.0; 0: 1: 2 ]
Python Comparator time: 38.387 msec
[-][ 0: 3:12 ; 38.6M j/s; [GPU 38.64 Mj/s] 7.0Gj 86.4%; dp/kgr=0.0; 0: 0:30 ]
Python Comparator time: 42.289 msec
[-][ 0: 3:44 ; 38.7M j/s; [GPU 38.70 Mj/s] 8.0Gj 100.8%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 49.423 msec
[-][ 0: 4:16 ; 38.6M j/s; [GPU 38.64 Mj/s] 9.0Gj 115.1%; dp/kgr=0.0; 0: 0: 0 ]

SOLVED: 0x1a838b13505b26867L

Python Comparator time: 51.940 msec

[i] No Cleaning wild.txt and tame.txt

[i] 38.7M j/s; 9.0Gj of 8.0Gj 115.2%; DP 0T+0W=0+0=0; dp/kgr=0.0;
[runtime] 0: 4:16
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[DATE(utc)] 22 Apr 2020 11:40:41
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[x] EXIT

Here is the old result of bits 70:

Code:

[###########################################################]
[# Pollard-kangaroo PrivKey Recovery Tool #]
[# (based on engine of VanitySearch 1.15) #]
[# bitcoin ecdsa secp256k1 #]
[# ver 0.01 GPU Hybrid v4F #]
[# GPU implementation changes by alek76 #]
[# Tips: 1NULY7DhzuNvSDtPkFzNo6oRTZQWBqXNE9 #]
[###########################################################]
[DATE(utc)] 15 Apr 2020 00:22:32
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits] 70
[Wsqrt] (2^34) 800000000
[M] 300000000000000000
[rangeW] 2^69..2^70 ; W = U - L = 2^69
[DPsize] 1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#70] loaded
[Xcoordinate] 90E6900A58D33393BC1097B5AED31F2E4E7CBD3E5466AF958665BC0121248483
[Ycoordinate] D7319F127105F492FD15E009B103B4A83295722F28F07C95F9A5443EF8E77CE0
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^32
[i] New DPmodule: 2^24
[DPmodule] 2^24 = 16777216 (0x0000000001000000)
[+] 0T+0W kangaroos - ready
[CPU] threads: 0
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 400000000
[meanjumpsize#39] 348348348(now) <= 400000000(optimal) <= 666666666(next)
[i] Sp[39]|-------------J----------------------------------------------|Sp[40]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[39]=348348348 nearer to optimal mean jumpsize of Sp set
GPUEngine: Fixed DPmodule: 0x100000 2^20 Hop_modulo: 47 Power: 8
GPU: GPU #0 Tesla T4 (40x64 cores) Grid(320x32)
GPU Bits: 70
GPU Tame Points: [M] + Rand(pow2W-0)
GPU Tame Starting Key 0: 300000000000000000
GPU Tame Starting Key 1: 4245C1496A91A1E4E3
GPU Tame Starting Key 2: 460038BBF75B1BD674
GPU Tame Starting Key 3: 34009A75AE1589781E
GPU Tame Starting Key 4: 3364A8F8B757EB6079
GPU Tame Starting Key 5: 39E02959E0350BDE1B
GPU Tame Starting Key 6: 3F585498DB02FBEB96
GPU Tame Starting Key 7: 3CB089829804E01625
GPU Tame Starting Key 8: 3C0D0B94FFC9D09D6B
GPU Tame Starting Key 9: 42BADEE0B80E17C475
GPU Tame Starting Key 10239: 30014A695D1D4AE253 Thread: 10240

GPU Wild Points: [Target] + Rand(pow2W-0)
GPU Wild Starting Key 0: BEB3802C22183E979
GPU Wild Starting Key 1: C29702E6A8E654298
GPU Wild Starting Key 2: 93DEE998F32FF0EAF
GPU Wild Starting Key 3: 1A3A697451E96B717B
GPU Wild Starting Key 4: 4DCE2BDE983EABB2
GPU Wild Starting Key 5: 19B893E98A60DFD73
GPU Wild Starting Key 6: 95EFD4E6AF64217AF
GPU Wild Starting Key 7: 1525F5269C47EDF4FE
GPU Wild Starting Key 8: D57A5637B3AE6A777
GPU Wild Starting Key 9: 11839C27C7D9A58B24
GPU Wild Starting Key 10239: 1452328C608200278C Thread: 10240

[i] Used Comparator in Python
[+] Runing Comparator every: 34 sec

Python Comparator time: 22.485 msec
[\][ 0: 0:34 ; 48.8M j/s; [GPU 48.81 Mj/s] 1.0Gj 4.8%; dp/kgr=0.0; 0:11: 9 ]
Python Comparator time: 26.846 msec
[|][ 0: 1: 8 ; 48.8M j/s; [GPU 48.82 Mj/s] 3.0Gj 9.6%; dp/kgr=0.0; 0:10:35 ]
Python Comparator time: 31.153 msec
[/][ 0: 1:42 ; 49.3M j/s; [GPU 49.27 Mj/s] 4.0Gj 14.5%; dp/kgr=0.0; 0: 9:56 ]
Python Comparator time: 38.805 msec
[-][ 0: 2:16 ; 49.0M j/s; [GPU 49.02 Mj/s] 6.0Gj 19.4%; dp/kgr=0.0; 0: 9:25 ]
Python Comparator time: 38.327 msec
[\][ 0: 2:50 ; 49.1M j/s; [GPU 49.14 Mj/s] 8.0Gj 24.2%; dp/kgr=0.0; 0: 8:49 ]
Python Comparator time: 48.467 msec
[|][ 0: 3:24 ; 49.1M j/s; [GPU 49.10 Mj/s] 9.0Gj 29.0%; dp/kgr=0.0; 0: 8:16 ]
Python Comparator time: 49.162 msec
[/][ 0: 3:58 ; 48.8M j/s; [GPU 48.82 Mj/s] 11.0Gj 33.9%; dp/kgr=0.0; 0: 7:44 ]
Python Comparator time: 52.248 msec
[-][ 0: 4:32 ; 49.1M j/s; [GPU 49.10 Mj/s] 13.0Gj 38.8%; dp/kgr=0.0; 0: 7: 8 ]
Python Comparator time: 56.209 msec
[\][ 0: 5: 6 ; 48.9M j/s; [GPU 48.94 Mj/s] 14.0Gj 43.6%; dp/kgr=0.0; 0: 6:35 ]
Python Comparator time: 64.450 msec
[|][ 0: 5:40 ; 49.0M j/s; [GPU 49.02 Mj/s] 16.0Gj 48.5%; dp/kgr=0.0; 0: 6: 0 ]
Python Comparator time: 63.462 msec
[/][ 0: 6:14 ; 49.1M j/s; [GPU 49.06 Mj/s] 18.0Gj 53.2%; dp/kgr=0.0; 0: 5:26 ]
Python Comparator time: 66.572 msec
[-][ 0: 6:48 ; 49.0M j/s; [GPU 48.98 Mj/s] 19.0Gj 58.1%; dp/kgr=0.0; 0: 4:53 ]
Python Comparator time: 68.086 msec
[\][ 0: 7:22 ; 48.9M j/s; [GPU 48.94 Mj/s] 21.0Gj 63.0%; dp/kgr=0.0; 0: 4:19 ]
Python Comparator time: 75.554 msec
[|][ 0: 7:56 ; 48.8M j/s; [GPU 48.77 Mj/s] 23.0Gj 67.9%; dp/kgr=0.0; 0: 3:46 ]
Python Comparator time: 79.022 msec
[/][ 0: 8:30 ; 49.0M j/s; [GPU 48.98 Mj/s] 24.0Gj 72.6%; dp/kgr=0.0; 0: 3:11 ]
Python Comparator time: 80.148 msec
[-][ 0: 9: 4 ; 49.0M j/s; [GPU 49.02 Mj/s] 26.0Gj 77.5%; dp/kgr=0.0; 0: 2:37 ]
Python Comparator time: 86.181 msec
[\][ 0: 9:38 ; 49.0M j/s; [GPU 48.98 Mj/s] 28.0Gj 82.4%; dp/kgr=0.0; 0: 2: 3 ]
Python Comparator time: 91.446 msec
[|][ 0:10:12 ; 49.0M j/s; [GPU 48.98 Mj/s] 29.0Gj 87.2%; dp/kgr=0.0; 0: 1:29 ]
Python Comparator time: 97.906 msec
[/][ 0:10:46 ; 49.0M j/s; [GPU 48.98 Mj/s] 31.0Gj 92.0%; dp/kgr=0.0; 0: 0:55 ]
Python Comparator time: 111.604 msec
[-][ 0:11:20 ; 48.9M j/s; [GPU 48.94 Mj/s] 33.0Gj 96.9%; dp/kgr=0.0; 0: 0:21 ]
Python Comparator time: 107.586 msec
[\][ 0:11:54 ; 48.9M j/s; [GPU 48.86 Mj/s] 34.0Gj 101.8%; dp/kgr=0.0; 0: 0: 0 ]

SOLVED: 0x349b84b6431a6c4ef1L

Python Comparator time: 108.322 msec

[i] No Cleaning wild.txt and tame.txt

[i] 49.0M j/s; 35.0Gj of 34.0Gj 101.9%; DP 0T+0W=0+0=0; dp/kgr=0.0;
[runtime] 0:11:55
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[DATE(utc)] 15 Apr 2020 00:34:28
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[x] EXIT

[###########################################################]
[# Pollard-kangaroo PrivKey Recovery Tool #]
[# (based on engine of VanitySearch 1.15) #]
[# bitcoin ecdsa secp256k1 #]
[# ver 0.01 GPU Hybrid v4F #]
[# GPU implementation changes by alek76 #]
[# Tips: 1NULY7DhzuNvSDtPkFzNo6oRTZQWBqXNE9 #]
[###########################################################]
[DATE(utc)] 15 Apr 2020 00:45:02
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits] 70
[Wsqrt] (2^34) 800000000
[M] 300000000000000000
[rangeW] 2^69..2^70 ; W = U - L = 2^69
[DPsize] 1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#70] loaded
[Xcoordinate] 90E6900A58D33393BC1097B5AED31F2E4E7CBD3E5466AF958665BC0121248483
[Ycoordinate] D7319F127105F492FD15E009B103B4A83295722F28F07C95F9A5443EF8E77CE0
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^32
[i] New DPmodule: 2^24
[DPmodule] 2^24 = 16777216 (0x0000000001000000)
[+] 0T+0W kangaroos - ready
[CPU] threads: 0
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 400000000
[meanjumpsize#39] 348348348(now) <= 400000000(optimal) <= 666666666(next)
[i] Sp[39]|-------------J----------------------------------------------|Sp[40]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[39]=348348348 nearer to optimal mean jumpsize of Sp set
GPUEngine: Fixed DPmodule: 0x100000 2^20 Hop_modulo: 51 Power: 12
GPU: GPU #0 Tesla T4 (40x64 cores) Grid(320x32)
GPU Bits: 70
GPU Tame Points: [M] + Rand(pow2W-0)
GPU Tame Starting Key 0: 300000000000000000
GPU Tame Starting Key 1: 4FA494B1D1E3F24117
GPU Tame Starting Key 2: 349350DD206C4A495E
GPU Tame Starting Key 3: 34F0F443055DD19AB4
GPU Tame Starting Key 4: 42F6CE9917044B91D5
GPU Tame Starting Key 5: 45F9AE2710EEC5AE3D
GPU Tame Starting Key 6: 3055DA1468D69AACCE
GPU Tame Starting Key 7: 3528003DDE5E82417D
GPU Tame Starting Key 8: 363A874C1332BFC170
GPU Tame Starting Key 9: 45B0B9A74C6F560A85
GPU Tame Starting Key 10239: 328BBE9B340BA0F83C Thread: 10240

GPU Wild Points: [Target] + Rand(pow2W-0)
GPU Wild Starting Key 0: 3786E48DEF3A9903D
GPU Wild Starting Key 1: 119ABAEC50D1216CA6
GPU Wild Starting Key 2: 9915B781E882988D8
GPU Wild Starting Key 3: A786897148F189B4B
GPU Wild Starting Key 4: 19D379696CEC4C7CB3
GPU Wild Starting Key 5: 173BA8323218608B0A
GPU Wild Starting Key 6: 7C65746278F50EDB3
GPU Wild Starting Key 7: 33CB5B6DF216C8EDA
GPU Wild Starting Key 8: 1C9357868AE556F00E
GPU Wild Starting Key 9: 1D12B93E522D8FAFA9
GPU Wild Starting Key 10239: 16EF988676E2598EC7 Thread: 10240

[i] Used Comparator in Python
[+] Runing Comparator every: 34 sec

Python Comparator time: 22.499 msec
[\][ 0: 0:34 ; 48.8M j/s; [GPU 48.82 Mj/s] 1.0Gj 4.8%; dp/kgr=0.0; 0:11:10 ]
Python Comparator time: 28.507 msec
[|][ 0: 1: 8 ; 48.7M j/s; [GPU 48.65 Mj/s] 3.0Gj 9.6%; dp/kgr=0.0; 0:10:38 ]
Python Comparator time: 30.178 msec
[/][ 0: 1:42 ; 48.3M j/s; [GPU 48.28 Mj/s] 4.0Gj 14.4%; dp/kgr=0.0; 0:10: 8 ]
Python Comparator time: 38.275 msec
[-][ 0: 2:16 ; 48.8M j/s; [GPU 48.77 Mj/s] 6.0Gj 19.1%; dp/kgr=0.0; 0: 9:28 ]
Python Comparator time: 38.343 msec
[\][ 0: 2:50 ; 48.5M j/s; [GPU 48.49 Mj/s] 8.0Gj 24.0%; dp/kgr=0.0; 0: 8:58 ]
Python Comparator time: 42.808 msec
[|][ 0: 3:24 ; 48.4M j/s; [GPU 48.41 Mj/s] 9.0Gj 28.8%; dp/kgr=0.0; 0: 8:25 ]
Python Comparator time: 47.449 msec
[/][ 0: 3:58 ; 48.5M j/s; [GPU 48.49 Mj/s] 11.0Gj 33.6%; dp/kgr=0.0; 0: 7:50 ]
Python Comparator time: 55.675 msec
[-][ 0: 4:32 ; 48.6M j/s; [GPU 48.61 Mj/s] 13.0Gj 38.4%; dp/kgr=0.0; 0: 7:15 ]
Python Comparator time: 55.309 msec
[\][ 0: 5: 6 ; 48.5M j/s; [GPU 48.49 Mj/s] 14.0Gj 43.1%; dp/kgr=0.0; 0: 6:42 ]

SOLVED: 0x349b84b6431a6c4ef1L

Python Comparator time: 61.172 msec

[i] No Cleaning wild.txt and tame.txt

[i] 48.6M j/s; 14.0Gj of 34.0Gj 43.2%; DP 0T+0W=0+0=0; dp/kgr=0.0;
[runtime] 0: 5: 6
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[DATE(utc)] 15 Apr 2020 00:50:09
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[x] EXIT

===
[###########################################################]
[# Pollard-kangaroo PrivKey Recovery Tool #]
[# (based on engine of VanitySearch 1.15) #]
[# bitcoin ecdsa secp256k1 #]
[# ver 0.01 GPU Hybrid v4F #]
[# GPU implementation changes by alek76 #]
[# Tips: 1NULY7DhzuNvSDtPkFzNo6oRTZQWBqXNE9 #]
[###########################################################]
[DATE(utc)] 15 Apr 2020 00:55:53
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits] 70
[Wsqrt] (2^34) 800000000
[M] 300000000000000000
[rangeW] 2^69..2^70 ; W = U - L = 2^69
[DPsize] 1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#70] loaded
[Xcoordinate] 90E6900A58D33393BC1097B5AED31F2E4E7CBD3E5466AF958665BC0121248483
[Ycoordinate] D7319F127105F492FD15E009B103B4A83295722F28F07C95F9A5443EF8E77CE0
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^32
[i] New DPmodule: 2^24
[DPmodule] 2^24 = 16777216 (0x0000000001000000)
[+] 0T+0W kangaroos - ready
[CPU] threads: 0
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 400000000
[meanjumpsize#39] 348348348(now) <= 400000000(optimal) <= 666666666(next)
[i] Sp[39]|-------------J----------------------------------------------|Sp[40]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[39]=348348348 nearer to optimal mean jumpsize of Sp set
GPUEngine: Fixed DPmodule: 0x100000 2^20 Hop_modulo: 53 Power: 14
GPU: GPU #0 Tesla T4 (40x64 cores) Grid(320x32)
GPU Bits: 70
GPU Tame Points: [M] + Rand(pow2W-0)
GPU Tame Starting Key 0: 300000000000000000
GPU Tame Starting Key 1: 4243C5E4C3D32412B5
GPU Tame Starting Key 2: 3169290B916FE5F02A
GPU Tame Starting Key 3: 3B9C882F5A02F3DF3D
GPU Tame Starting Key 4: 390F9D7D1C75606D9D
GPU Tame Starting Key 5: 3BF90268AACA644EBB
GPU Tame Starting Key 6: 3468BEB102B692285F
GPU Tame Starting Key 7: 446EBEC5CC9434AA44
GPU Tame Starting Key 8: 41E0DAC23C762C9DE4
GPU Tame Starting Key 9: 46BC003124BBFEB908
GPU Tame Starting Key 10239: 32C87CB4022C6C160D Thread: 10240

GPU Wild Points: [Target] + Rand(pow2W-0)
GPU Wild Starting Key 0: 22D322372EF58E672
GPU Wild Starting Key 1: 178EF5DC1D918BED9F
GPU Wild Starting Key 2: FE6E0EC776817EC84
GPU Wild Starting Key 3: 10AD9C03709F851E77
GPU Wild Starting Key 4: 5A2F7FCF4EBBD8927
GPU Wild Starting Key 5: E246B92A12EA3703F
GPU Wild Starting Key 6: C1375C58AE6EE228C
GPU Wild Starting Key 7: 17B96F89E463F394F1
GPU Wild Starting Key 8: 1F48B85C51FDF588B1
GPU Wild Starting Key 9: 1AB8235FA9329BAC9D
GPU Wild Starting Key 10239: 62EA0929AFD00E964 Thread: 10240

[i] Used Comparator in Python
[+] Runing Comparator every: 34 sec

Python Comparator time: 22.362 msec
[\][ 0: 0:34 ; 50.0M j/s; [GPU 50.00 Mj/s] 1.0Gj 4.9%; dp/kgr=0.0; 0:10:53 ]
Python Comparator time: 28.301 msec
[|][ 0: 1: 8 ; 49.0M j/s; [GPU 49.02 Mj/s] 3.0Gj 9.8%; dp/kgr=0.0; 0:10:32 ]
Python Comparator time: 32.454 msec
[/][ 0: 1:42 ; 48.9M j/s; [GPU 48.90 Mj/s] 5.0Gj 14.6%; dp/kgr=0.0; 0: 9:59 ]
Python Comparator time: 38.318 msec
[-][ 0: 2:16 ; 49.1M j/s; [GPU 49.06 Mj/s] 6.0Gj 19.5%; dp/kgr=0.0; 0: 9:23 ]
Python Comparator time: 42.349 msec
[\][ 0: 2:50 ; 48.9M j/s; [GPU 48.94 Mj/s] 8.0Gj 24.2%; dp/kgr=0.0; 0: 8:51 ]
Python Comparator time: 43.285 msec
[|][ 0: 3:24 ; 49.2M j/s; [GPU 49.18 Mj/s] 10.0Gj 29.1%; dp/kgr=0.0; 0: 8:14 ]
Python Comparator time: 45.850 msec
[/][ 0: 3:58 ; 49.1M j/s; [GPU 49.10 Mj/s] 11.0Gj 34.0%; dp/kgr=0.0; 0: 7:41 ]
Python Comparator time: 56.542 msec
[-][ 0: 4:32 ; 49.1M j/s; [GPU 49.10 Mj/s] 13.0Gj 38.9%; dp/kgr=0.0; 0: 7: 7 ]
Python Comparator time: 57.853 msec
[\][ 0: 5: 6 ; 48.9M j/s; [GPU 48.94 Mj/s] 15.0Gj 43.8%; dp/kgr=0.0; 0: 6:34 ]
Python Comparator time: 59.568 msec
[|][ 0: 5:40 ; 49.2M j/s; [GPU 49.18 Mj/s] 16.0Gj 48.6%; dp/kgr=0.0; 0: 5:58 ]
Python Comparator time: 67.561 msec
[/][ 0: 6:14 ; 49.1M j/s; [GPU 49.14 Mj/s] 18.0Gj 53.4%; dp/kgr=0.0; 0: 5:25 ]
Python Comparator time: 68.229 msec
[-][ 0: 6:48 ; 49.0M j/s; [GPU 48.98 Mj/s] 20.0Gj 58.2%; dp/kgr=0.0; 0: 4:52 ]
Python Comparator time: 70.690 msec
[\][ 0: 7:22 ; 49.0M j/s; [GPU 48.98 Mj/s] 21.0Gj 63.1%; dp/kgr=0.0; 0: 4:18 ]
Python Comparator time: 77.695 msec
[|][ 0: 7:56 ; 49.0M j/s; [GPU 48.98 Mj/s] 23.0Gj 68.0%; dp/kgr=0.0; 0: 3:44 ]
Python Comparator time: 82.036 msec
[/][ 0: 8:30 ; 49.1M j/s; [GPU 49.10 Mj/s] 25.0Gj 72.9%; dp/kgr=0.0; 0: 3: 9 ]
Python Comparator time: 81.298 msec
[-][ 0: 9: 4 ; 49.2M j/s; [GPU 49.18 Mj/s] 26.0Gj 77.8%; dp/kgr=0.0; 0: 2:35 ]
Python Comparator time: 87.923 msec
[\][ 0: 9:38 ; 49.1M j/s; [GPU 49.06 Mj/s] 28.0Gj 82.6%; dp/kgr=0.0; 0: 2: 1 ]
Python Comparator time: 95.109 msec
[|][ 0:10:12 ; 48.9M j/s; [GPU 48.94 Mj/s] 30.0Gj 87.4%; dp/kgr=0.0; 0: 1:27 ]
Python Comparator time: 94.929 msec
[/][ 0:10:46 ; 49.0M j/s; [GPU 49.02 Mj/s] 31.0Gj 92.2%; dp/kgr=0.0; 0: 0:53 ]
Python Comparator time: 102.858 msec
[-][ 0:11:20 ; 49.0M j/s; [GPU 48.98 Mj/s] 33.0Gj 97.1%; dp/kgr=0.0; 0: 0:19 ]
Python Comparator time: 103.592 msec
[\][ 0:11:54 ; 49.1M j/s; [GPU 49.10 Mj/s] 35.0Gj 102.0%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 109.463 msec
[|][ 0:12:28 ; 49.1M j/s; [GPU 49.14 Mj/s] 36.0Gj 106.9%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 118.070 msec
[/][ 0:13: 2 ; 49.1M j/s; [GPU 49.06 Mj/s] 38.0Gj 111.8%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 128.127 msec
[-][ 0:13:36 ; 49.0M j/s; [GPU 48.98 Mj/s] 40.0Gj 116.5%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 123.879 msec
[\][ 0:14:10 ; 49.0M j/s; [GPU 48.98 Mj/s] 41.0Gj 121.4%; dp/kgr=0.0; 0: 0: 0 ]
Python Comparator time: 127.649 msec
[|][ 0:14:44 ; 49.0M j/s; [GPU 49.02 Mj/s] 43.0Gj 126.2%; dp/kgr=0.0; 0: 0: 0 ]

SOLVED: 0x349b84b6431a6c4ef1L

Python Comparator time: 128.465 msec

[i] No Cleaning wild.txt and tame.txt

[i] 49.1M j/s; 43.0Gj of 34.0Gj 126.5%; DP 0T+0W=0+0=0; dp/kgr=0.0;
[runtime] 0:14:46
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[DATE(utc)] 15 Apr 2020 01:10:39
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[x] EXIT

Probably in a hurry with conclusions?