SMARTString Matching Algorithms Research Tool
by Simone Faro - www.dmi.unict.it/~faro/smart/ - email: faro@dmi.unict.it
Report of Experimental Results
Test Code EXP1712145140
Date 2024:04:03 17:16:34
Text frenchTexts (alphabet : 128 - size : 1048576 bytes)
| 2 | 4 | 8 | 16 | 32 | 64 | 128 | 256 | 512 | 1024 | 2048 | 4096 |
|
TVSBS |
0.26 4.39 2.04 - 10.06 | 0.22 2.67 1.60 - 7.73 | 0.20 1.83 1.22 - 6.73 | 0.23 1.68 0.97 - 3.86 | 0.21 1.24 0.81 - 3.88 | 0.21 1.13 0.71 - 2.97 | 0.22 1.09 0.68 - 2.87 | 0.20 0.98 0.64 - 2.08 | 0.20 1.05 0.79 - 2.21 | 0.21 1.07 0.74 - 2.09 | 0.22 1.00 0.65 - 2.22 | 0.20 0.87 0.64 - 1.92 |
FJS |
0.02 3.98 1.87 - 11.55 | 0.02 2.69 1.40 - 8.22 | 0.02 2.03 0.98 - 5.27 | 0.02 1.48 0.82 - 4.22 | 0.02 1.19 0.70 - 3.51 | 0.02 1.09 0.63 - 3.07 | 0.02 1.04 0.63 - 2.75 | 0.02 0.97 0.63 - 5.34 | 0.02 0.86 0.59 - 2.56 | 0.03 0.96 0.64 - 5.74 | 0.03 0.91 0.59 - 2.49 | 0.04 0.81 0.55 - 2.46 |
HASH8 |
0.01 2.08 1.46 - 5.57 | 0.02 2.23 1.45 - 6.15 | 0.01 11.87 8.93 - 36.61 | 0.02 2.22 1.42 - 5.97 | 0.01 1.20 0.82 - 3.22 | 0.02 1.17 0.64 - 2.27 | 0.02 0.85 0.59 - 2.99 | 0.02 0.83 0.52 - 1.76 | 0.02 0.90 0.62 - 2.66 | 0.02 0.83 0.64 - 1.75 | 0.02 0.85 0.62 - 2.60 | 0.02 0.88 0.64 - 2.13 |
SO |
0.02 2.09 1.23 - 6.90 | 0.02 2.29 1.22 - 7.55 | 0.02 1.91 1.21 - 5.27 | 0.02 2.24 1.20 - 5.21 | 0.02 1.90 1.22 - 5.61 | 0.02 1.71 1.08 - 4.89 | 0.02 1.75 1.09 - 5.57 | 0.01 1.64 1.08 - 5.08 | 0.02 1.56 1.09 - 4.68 | 0.02 1.62 1.09 - 4.78 | 0.02 1.63 1.09 - 9.47 | 0.02 1.82 1.08 - 4.79 |
SBNDM |
0.03 3.30 1.79 - 8.17 | 0.02 1.46 0.95 - 4.18 | 0.02 1.11 0.67 - 2.97 | 0.02 0.90 0.55 - 2.17 | 0.02 0.81 0.55 - 3.51 | 0.02 0.99 0.61 - 2.21 | 0.03 1.03 0.68 - 4.24 | 0.02 1.06 0.59 - 2.61 | 0.02 0.99 0.64 - 3.36 | 0.02 0.92 0.60 - 2.22 | 0.02 0.95 0.65 - 2.54 | 0.02 1.19 0.62 - 2.45 |
LBNDM |
0.02 3.03 1.17 - 7.59 | 0.01 2.29 0.93 - 7.11 | 0.01 1.86 0.79 - 4.61 | 0.01 1.40 0.78 - 3.99 | 0.01 0.95 0.61 - 2.98 | 0.01 0.76 0.53 - 2.57 | 0.02 0.90 0.53 - 2.39 | 0.01 0.79 0.55 - 2.68 | 0.02 0.82 0.54 - 2.88 | 0.02 0.84 0.52 - 2.83 | 0.02 0.86 0.59 - 2.19 | 0.02 1.36 0.74 - 3.82 |
SBNDM2 |
0.01 2.21 1.23 - 9.70 | 0.01 1.23 0.75 - 3.56 | 0.02 0.96 0.58 - 2.92 | 0.01 0.87 0.54 - 2.40 | 0.01 0.80 0.54 - 2.21 | 0.02 1.04 0.50 - 2.34 | 0.01 0.78 0.51 - 2.34 | 0.02 0.87 0.52 - 3.09 | 0.02 0.90 0.50 - 3.02 | 0.02 0.76 0.52 - 2.02 | 0.02 0.79 0.50 - 2.15 | 0.02 0.84 0.53 - 4.65 |
SBNDM-BMH |
0.02 3.29 1.51 - 9.40 | 0.02 2.30 1.04 - 6.23 | 0.02 1.67 0.86 - 3.86 | 0.02 1.18 0.78 - 3.39 | 0.02 0.91 0.63 - 2.20 | 0.02 0.98 0.63 - 2.29 | 0.02 0.90 0.64 - 2.13 | 0.02 0.97 0.64 - 3.65 | 0.02 0.99 0.65 - 3.41 | 0.02 0.95 0.65 - 3.41 | 0.02 0.94 0.66 - 2.88 | 0.02 0.95 0.62 - 4.87 |
FNDM |
0.02 2.58 1.22 - 8.44 | 0.02 2.16 1.02 - 5.24 | 0.02 1.86 0.77 - 4.61 | 0.02 1.45 0.80 - 3.36 | 0.02 0.95 0.66 - 2.53 | 0.02 1.03 0.63 - 2.64 | 0.02 1.02 0.63 - 2.70 | 0.02 0.98 0.63 - 4.23 | 0.02 0.97 0.65 - 2.89 | 0.02 0.96 0.62 - 3.59 | 0.01 0.84 0.61 - 2.09 | 0.01 0.95 0.59 - 2.71 |
FSBNDM |
0.01 2.17 0.92 - 9.65 | 0.01 1.38 0.72 - 3.58 | 0.02 1.20 0.64 - 2.81 | 0.02 0.90 0.58 - 2.97 | 0.02 0.83 0.55 - 2.42 | 0.01 0.79 0.53 - 1.97 | 0.02 0.91 0.52 - 2.36 | 0.01 0.89 0.52 - 2.94 | 0.01 0.87 0.49 - 2.30 | 0.02 0.90 0.55 - 3.02 | 0.01 0.79 0.51 - 2.11 | 0.02 0.83 0.52 - 2.37 |
SBNDMQ8 |
0.02 2.27 1.44 - 5.82 | 0.02 2.21 1.48 - 8.51 | 0.01 5.27 3.05 - 13.25 | 0.02 1.18 0.77 - 3.42 | 0.02 0.87 0.54 - 2.17 | 0.02 0.89 0.56 - 2.34 | 0.01 0.82 0.56 - 2.22 | 0.02 0.85 0.57 - 1.97 | 0.02 0.91 0.56 - 2.64 | 0.02 1.11 0.56 - 1.93 | 0.02 0.91 0.58 - 5.23 | 0.02 1.01 0.58 - 4.10 |
UFNDMQ2 |
0.02 1.93 1.02 - 9.24 | 0.02 1.34 0.74 - 5.32 | 0.02 1.11 0.65 - 3.93 | 0.02 0.98 0.55 - 3.60 | 0.02 0.85 0.53 - 3.09 | 0.01 0.90 0.53 - 2.01 | 0.01 0.87 0.53 - 2.46 | 0.01 0.81 0.51 - 2.30 | 0.02 0.91 0.56 - 4.78 | 0.01 1.16 0.49 - 2.36 | 0.01 0.87 0.55 - 6.40 | 0.01 0.81 0.53 - 3.56 |
UFNDMQ8 |
0.02 2.20 1.47 - 8.79 | 0.01 2.12 1.45 - 6.51 | 0.02 1.38 0.82 - 3.60 | 0.03 1.13 0.65 - 6.35 | 0.01 0.91 0.56 - 2.50 | 0.01 0.87 0.57 - 2.96 | 0.01 0.91 0.58 - 3.32 | 0.01 0.92 0.59 - 3.63 | 0.01 0.84 0.57 - 3.21 | 0.01 1.06 0.59 - 1.88 | 0.01 0.95 0.58 - 2.01 | 0.01 0.80 0.57 - 1.99 |
KBNDM |
0.02 3.47 2.13 - 9.29 | 0.01 1.97 1.28 - 6.49 | 0.02 1.40 0.91 - 7.90 | 0.02 1.12 0.72 - 3.28 | 0.02 1.08 0.65 - 4.48 | 0.02 0.85 0.58 - 2.22 | 0.02 0.87 0.54 - 3.14 | 0.02 0.93 0.52 - 2.17 | 0.02 0.86 0.52 - 2.12 | 0.02 0.94 0.51 - 1.92 | 0.02 0.90 0.55 - 3.70 | 0.02 0.86 0.51 - 2.36 |
FS-W2 |
0.05 2.79 1.41 - 9.04 | 0.05 2.00 1.11 - 6.03 | 0.05 1.57 0.75 - 3.62 | 0.04 1.04 0.66 - 4.29 | 0.05 0.99 0.62 - 3.34 | 0.05 0.97 0.56 - 2.46 | 0.06 0.90 0.55 - 2.03 | 0.06 1.00 0.53 - 2.00 | 0.05 0.78 0.54 - 2.45 | 0.08 1.12 0.57 - 1.94 | 0.08 0.83 0.56 - 2.57 | 0.10 0.76 0.57 - 1.96 |
LWFR5 |
0.02 2.11 1.47 - 6.40 | 0.02 2.30 1.45 - 4.66 | 0.07 3.07 1.73 - 9.91 | 0.07 0.98 0.61 - 5.00 | 0.07 0.81 0.53 - 2.29 | 0.07 0.83 0.51 - 3.02 | 0.07 0.76 0.49 - 1.80 | 0.07 0.73 0.51 - 2.89 | 0.08 0.70 0.47 - 3.50 | 0.11 0.86 0.49 - 1.56 | 0.13 0.77 0.48 - 2.55 | 0.18 0.77 0.51 - 1.93 |
QF43 |
0.02 2.52 1.47 - 7.40 | 0.02 2.58 1.39 - 5.59 | 0.03 1.67 0.76 - 2.64 | 0.02 0.89 0.56 - 2.30 | 0.02 0.77 0.50 - 2.83 | 0.02 0.70 0.50 - 2.55 | 0.03 0.89 0.47 - 2.30 | 0.02 0.72 0.49 - 6.40 | 0.02 0.61 0.43 - 1.60 | 0.03 0.93 0.42 - 1.42 | 0.02 0.57 0.42 - 2.89 | 0.03 0.57 0.42 - 1.70 |
SBNDM-W2 |
0.01 2.59 1.04 - 8.87 | 0.02 2.02 0.78 - 5.91 | 0.02 1.91 0.70 - 4.07 | 0.02 1.06 0.67 - 3.51 | 0.02 0.97 0.58 - 2.45 | 0.02 0.87 0.54 - 2.48 | 0.02 0.88 0.59 - 2.93 | 0.02 0.93 0.58 - 5.87 | 0.02 0.92 0.57 - 2.19 | 0.02 1.07 0.56 - 2.10 | 0.02 0.91 0.60 - 2.41 | 0.02 0.84 0.58 - 2.44 |
WFR2 |
0.07 2.97 1.44 - 8.40 | 0.07 1.62 0.85 - 4.32 | 0.08 1.42 0.68 - 2.86 | 0.06 0.93 0.56 - 2.34 | 0.07 1.02 0.57 - 2.41 | 0.06 0.80 0.57 - 3.22 | 0.07 0.81 0.53 - 2.36 | 0.07 0.82 0.52 - 2.35 | 0.09 0.91 0.48 - 2.02 | 0.13 1.09 0.46 - 1.56 | 0.13 0.85 0.48 - 2.28 | 0.14 0.71 0.49 - 2.21 |
TWFRQ2 |
0.07 2.45 1.23 - 8.36 | 0.07 1.51 0.78 - 5.84 | 0.08 1.41 0.66 - 2.76 | 0.08 1.15 0.62 - 2.61 | 0.07 1.05 0.54 - 2.26 | 0.06 0.85 0.55 - 3.55 | 0.07 0.82 0.52 - 2.37 | 0.07 0.86 0.53 - 2.65 | 0.09 0.95 0.47 - 1.86 | 0.08 0.77 0.45 - 1.54 | 0.09 0.80 0.45 - 1.56 | 0.10 0.72 0.46 - 1.98 |
TWFRQ4 |
0.02 2.48 1.46 - 6.32 | 0.07 2.71 1.57 - 7.71 | 0.09 1.51 0.71 - 2.91 | 0.09 1.18 0.56 - 2.22 | 0.07 0.84 0.50 - 2.34 | 0.07 0.79 0.51 - 3.62 | 0.07 0.86 0.48 - 2.51 | 0.06 0.71 0.48 - 1.74 | 0.08 0.76 0.47 - 3.06 | 0.09 0.89 0.45 - 1.46 | 0.09 0.82 0.48 - 3.11 | 0.08 0.64 0.46 - 1.65 |
WOM |
0.02 3.66 1.93 - 10.72 | 0.02 2.62 1.37 - 7.40 | 0.02 2.04 1.04 - 5.98 | 0.02 1.44 0.85 - 3.02 | 0.02 1.09 0.72 - 2.93 | 0.02 1.05 0.64 - 3.70 | 0.02 0.99 0.62 - 4.47 | 0.03 1.09 0.55 - 2.44 | 0.02 0.88 0.55 - 2.20 | 0.03 1.04 0.54 - 1.82 | 0.03 0.82 0.55 - 4.72 | 0.04 0.77 0.53 - 1.89 |
LIBC1 |
0.01 2.07 1.08 - 4.94 | 0.01 1.37 0.82 - 4.89 | 0.01 1.20 0.65 - 3.78 | 0.01 1.16 0.55 - 2.58 | 0.01 0.82 0.52 - 3.97 | 0.01 0.88 0.51 - 1.88 | 0.01 0.78 0.53 - 2.20 | 0.01 0.81 0.52 - 2.75 | 0.02 0.84 0.59 - 3.61 | 0.01 1.21 0.57 - 1.95 | 0.01 0.87 0.57 - 4.34 | 0.01 0.76 0.50 - 1.71 |
MUSL1 |
0.00 0.01 0.00 - 0.13 | 0.00 0.08 0.00 - 2.68 | 0.00 0.61 0.01 - 5.65 | 0.00 0.78 0.01 - 4.43 | 0.00 0.69 0.01 - 4.27 | 0.00 0.53 0.01 - 2.23 | 0.00 0.46 0.01 - 2.30 | 0.00 0.41 0.01 - 1.58 | 0.01 0.44 0.01 - 2.09 | 0.01 0.57 0.02 - 1.63 | 0.01 0.48 0.03 - 4.45 | 0.02 0.38 0.04 - 1.40 |
SIMDKR |
0.02 0.84 0.52 - 2.36 | 0.02 0.94 0.49 - 2.47 | 0.01 0.77 0.50 - 1.55 | 0.01 0.80 0.50 - 1.85 | 0.01 0.75 0.49 - 1.91 | 0.01 0.89 0.48 - 2.19 | 0.02 0.78 0.50 - 1.85 | 0.01 0.75 0.51 - 2.23 | 0.02 0.84 0.52 - 4.09 | 0.02 1.18 0.48 - 2.08 | 0.01 0.77 0.48 - 3.74 | 0.02 0.90 0.48 - 2.18 |
EPSM |
0.01 0.91 0.50 - 1.93 | 0.02 0.77 0.53 - 2.14 | 0.02 0.94 0.60 - 4.22 | 0.03 1.26 0.65 - 2.60 | 0.02 0.82 0.53 - 5.53 | 0.03 0.93 0.48 - 1.67 | 0.03 0.69 0.50 - 3.39 | 0.03 0.68 0.50 - 1.71 | 0.06 0.77 0.48 - 3.49 | 0.12 1.14 0.50 - 1.62 | 0.16 0.87 0.55 - 3.50 | 0.27 0.94 0.66 - 2.32 |
Average Running Times
Chart 1. Plot of the running times of experimental tests n.EXP1712145140. The x axes reports the length of the pattern (in a log scale) while the y axes reports the running time in milliseconds.
Worst Running Times
Best Running Times
TVSBS - Thathoo-Virmani-Sai-Balakrishnan-Sekar
Detailed plot of the running times relative to the TVSBS algorithm. The plot reports the mean and the distribution of the running times.
FJS - Franek-Jennings-Smyth
Detailed plot of the running times relative to the FJS algorithm. The plot reports the mean and the distribution of the running times.
HASH8 - Wu-Manber for Single Pattern Matching (q=8)
Detailed plot of the running times relative to the HASH8 algorithm. The plot reports the mean and the distribution of the running times.
SO - Shift-Or
Detailed plot of the running times relative to the SO algorithm. The plot reports the mean and the distribution of the running times.
SBNDM - Simplified BNDM
Detailed plot of the running times relative to the SBNDM algorithm. The plot reports the mean and the distribution of the running times.
LBNDM - long patterns bndm
Detailed plot of the running times relative to the LBNDM algorithm. The plot reports the mean and the distribution of the running times.
SBNDM2 - simplified bndm with loop-unrolling
Detailed plot of the running times relative to the SBNDM2 algorithm. The plot reports the mean and the distribution of the running times.
SBNDM-BMH - sbndm with horspool shift
Detailed plot of the running times relative to the SBNDM-BMH algorithm. The plot reports the mean and the distribution of the running times.
FNDM - forward nondeterministic dawg matching
Detailed plot of the running times relative to the FNDM algorithm. The plot reports the mean and the distribution of the running times.
FSBNDM - forward sbndm
Detailed plot of the running times relative to the FSBNDM algorithm. The plot reports the mean and the distribution of the running times.
SBNDMQ8 - simplified bndm with q-grams
Detailed plot of the running times relative to the SBNDMQ8 algorithm. The plot reports the mean and the distribution of the running times.
UFNDMQ2 - Upper bits fndm with q-grams
Detailed plot of the running times relative to the UFNDMQ2 algorithm. The plot reports the mean and the distribution of the running times.
UFNDMQ8 - Upper bits fndm with q-grams
Detailed plot of the running times relative to the UFNDMQ8 algorithm. The plot reports the mean and the distribution of the running times.
KBNDM - Factorized BNDM
Detailed plot of the running times relative to the KBNDM algorithm. The plot reports the mean and the distribution of the running times.
FS-W2 - Multiple Sliding Windows
Detailed plot of the running times relative to the FS-W2 algorithm. The plot reports the mean and the distribution of the running times.
LWFR5 - Weak Factor Recognizer, Linear Version
Detailed plot of the running times relative to the LWFR5 algorithm. The plot reports the mean and the distribution of the running times.
QF43 - Q-gram Filtering q=4 s=3
Detailed plot of the running times relative to the QF43 algorithm. The plot reports the mean and the distribution of the running times.
SBNDM-W2 - SBNDM with lookahead
Detailed plot of the running times relative to the SBNDM-W2 algorithm. The plot reports the mean and the distribution of the running times.
WFR2 - Weak Factor Recognizer (m>=2)
Detailed plot of the running times relative to the WFR2 algorithm. The plot reports the mean and the distribution of the running times.
TWFRQ2 - Tuned Weak Factor Recognizer with q-grams
Detailed plot of the running times relative to the TWFRQ2 algorithm. The plot reports the mean and the distribution of the running times.
TWFRQ4 - Tuned Weak Factor Recognizer with q-grams
Detailed plot of the running times relative to the TWFRQ4 algorithm. The plot reports the mean and the distribution of the running times.
WOM - Worst Occurrence Matcher
Detailed plot of the running times relative to the WOM algorithm. The plot reports the mean and the distribution of the running times.
LIBC1 - memmem
Detailed plot of the running times relative to the LIBC1 algorithm. The plot reports the mean and the distribution of the running times.
MUSL1 - musl memmem
Detailed plot of the running times relative to the MUSL1 algorithm. The plot reports the mean and the distribution of the running times.
SIMDKR - SIMD generic Rabin-Karp variants
Detailed plot of the running times relative to the SIMDKR algorithm. The plot reports the mean and the distribution of the running times.
EPSM - SSE4 Exact Packed String Matching
Detailed plot of the running times relative to the EPSM algorithm. The plot reports the mean and the distribution of the running times.