Both functions are 100% FREE, no license needed.
This is a practical console tool demonstarting how to use Fastest Needle-in-Haystack Searcher, written in C. As a rival, 'ripgrep' latest version was used.
Bottom-line, first:
TetraNyoTengu (with 4 OpenMP threads, AVX2 variant) is roughly 0.575/0.059=9.74x faster than 'ripgrep' v13, C rules.
TetraNyoTengu (compiled with GCC v11.3.0 compiler) reaches (on laptop with i5-7200U, DDR4 2133MHz, Windows 10):
- 10,669,926,015 bytes/second with VECTOR code, single-threaded
- 9,214,936,103 bytes/second with SCALAR code, single-threaded
- 22.40 GiB/s with VECTOR code, tetra-threaded
- 18.61 GiB/s with SCALAR code, tetra-threaded
- 27,461 MB/s MAX Memory Read (reported by AIDA)
D:\Benchmark_Linus-Torvalds_SCALAR-VECTOR_2023>timer64 TetraNyoTengu_YMM_GCC11.3.0_64bit.exe linux-6.6.1.tar needle1.txt
___________ __ _______ ___________
\__ ___/ ____ _/ |_ _______ _____ \ \ ___.__. ____ \__ ___/ ____ ____ ____ __ __
| | _/ __ \ \ __\\_ __ \\__ \ / | \ < | | / _ \ | | _/ __ \ / \ / ___\ | | \
| | \ ___/ | | | | \/ / __ \_/ | \ \___ |( <_> ) | | \ ___/ | | \ / /_/ >| | /
|____| \___ > |__| |__| (____ /\____|__ / / ____| \____/ |____| \___ >|___| / \___ / |____/
\/ \/ \/ \/ \/ \/ /_____/
TNT a.k.a. TetraNyoTengu a.k.a. 'SHETENGU' - the skydogess exact searcher, written by Kaze, 2023-Nov-11, for contacts: [email protected]
Current priority class is REALTIME_PRIORITY_CLASS.
Needle = Linus Torvalds
Allocating Source-Buffer 1,419,100,160 bytes ... OK
Memory pool starting address: 000002E94CC95040 ... 32 byte aligned, OK
Memory pool starting address: 000002E94CC95040 ... 64 byte aligned, OK
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) SCALAR memmem() - 'Railgun_Trolldom_64' ...
Hits: 609
Search took 0.154 seconds.
Pure Search Performance: 9,214,936,103 bytes/second.
Searching (single-threaded) into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) VECTOR memmem() - 'Railgun_Nyotengu_YMM' ...
Hits: 609
Search took 0.133 seconds.
Pure Search Performance: 10,669,926,015 bytes/second.
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) VECTOR memmem() - 'Railgun_Nyotengu_YMM' ...
omp_get_num_procs( ) = 4
omp_get_max_threads( ) = 4
Enforcing 4 threads using 256bit vectors ...
First run: Hits: 609; Search took 0.061 seconds; Pure Search Performance: 21.67 GiB/s = 23,263,937,049 bytes/second.
Best run (of 11): Hits: 609; Search took 0.059 seconds; Pure Search Performance: 22.40 GiB/s = 24,052,545,084 bytes/second.
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) SCALAR memmem() - 'Railgun_Trolldom_64' ...
omp_get_num_procs( ) = 4
omp_get_max_threads( ) = 4
Enforcing 4 threads using SCALAR 64bit code ...
First run: Hits: 609; Search took 0.074 seconds; Pure Search Performance: 17.86 GiB/s = 19,177,029,189 bytes/second.
Best run (of 11): Hits: 609; Search took 0.071 seconds; Pure Search Performance: 18.61 GiB/s = 19,987,326,197 bytes/second.
Kernel Time = 0.562 = 24%
User Time = 5.953 = 263%
Process Time = 6.515 = 288% Virtual Memory = 1358 MB
Global Time = 2.258 = 100% Physical Memory = 1358 MB
TetraNyoTengu (compiled with Intel v19.0 compiler) reaches (on laptop with i5-7200U, DDR4 2133MHz, Windows 10):
- 11,086,720,000 bytes/second with VECTOR code, single-threaded
- 9,096,795,897 bytes/second with SCALAR code, single-threaded
- 22.03 GiB/s with VECTOR code, tetra-threaded
- 21.67 GiB/s with SCALAR code, tetra-threaded
- 27,461 MB/s MAX Memory Read (reported by AIDA)
D:\Benchmark_Linus-Torvalds_SCALAR-VECTOR_2023>timer64 TetraNyotengu_YMM_IntelV190_64bit.exe linux-6.6.1.tar needle1.txt
___________ __ _______ ___________
\__ ___/ ____ _/ |_ _______ _____ \ \ ___.__. ____ \__ ___/ ____ ____ ____ __ __
| | _/ __ \ \ __\\_ __ \\__ \ / | \ < | | / _ \ | | _/ __ \ / \ / ___\ | | \
| | \ ___/ | | | | \/ / __ \_/ | \ \___ |( <_> ) | | \ ___/ | | \ / /_/ >| | /
|____| \___ > |__| |__| (____ /\____|__ / / ____| \____/ |____| \___ >|___| / \___ / |____/
\/ \/ \/ \/ \/ \/ /_____/
TNT a.k.a. TetraNyoTengu a.k.a. 'SHETENGU' - the skydogess exact searcher, written by Kaze, 2023-Nov-11, for contacts: [email protected]
Current priority class is REALTIME_PRIORITY_CLASS.
Needle = Linus Torvalds
Allocating Source-Buffer 1,419,100,160 bytes ... OK
Memory pool starting address: 000001E780001040 ... 32 byte aligned, OK
Memory pool starting address: 000001E780001040 ... 64 byte aligned, OK
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) SCALAR memmem() - 'Railgun_Trolldom_64' ...
Hits: 609
Search took 0.156 seconds.
Pure Search Performance: 9,096,795,897 bytes/second.
Searching (single-threaded) into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) VECTOR memmem() - 'Railgun_Nyotengu_YMM' ...
Hits: 609
Search took 0.128 seconds.
Pure Search Performance: 11,086,720,000 bytes/second.
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) VECTOR memmem() - 'Railgun_Nyotengu_YMM' ...
omp_get_num_procs( ) = 4
omp_get_max_threads( ) = 4
Enforcing 4 threads using 256bit vectors ...
First run: Hits: 609; Search took 0.063 seconds; Pure Search Performance: 20.98 GiB/s = 22,525,399,365 bytes/second.
Best run (of 11): Hits: 609; Search took 0.060 seconds; Pure Search Performance: 22.03 GiB/s = 23,651,669,333 bytes/second.
Searching into Haystack (1,419,100,160) for all occurrences of Needle (14) with fastest (known to me) SCALAR memmem() - 'Railgun_Trolldom_64' ...
omp_get_num_procs( ) = 4
omp_get_max_threads( ) = 4
Enforcing 4 threads using SCALAR 64bit code ...
First run: Hits: 609; Search took 0.064 seconds; Pure Search Performance: 20.65 GiB/s = 22,173,440,000 bytes/second.
Best run (of 11): Hits: 609; Search took 0.061 seconds; Pure Search Performance: 21.67 GiB/s = 23,263,937,049 bytes/second.
Kernel Time = 0.593 = 26%
User Time = 5.609 = 245%
Process Time = 6.203 = 271% Virtual Memory = 1360 MB
Global Time = 2.281 = 100% Physical Memory = 1359 MB
Latest superfast grep-like tool written in Rust:
D:\Benchmark_Linus-Torvalds_SCALAR-VECTOR_2023>timer64 "ripgrep-13.0.0-x86_64-pc-windows-gnu.exe" -c -F --stats "Linus Torvalds" linux-6.6.1.tar
609
609 matches
609 matched lines
1 files contained matches
1 files searched
0 bytes printed
17 bytes searched
0.463975 seconds spent searching
0.562452 seconds
Kernel Time = 0.468 = 81%
User Time = 0.093 = 16%
Process Time = 0.562 = 97% Virtual Memory = 5 MB
Global Time = 0.575 = 100% Physical Memory = 1360 MB
Enfun!
2023-Nov-12
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