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 17:43:33
Text midimusic (alphabet : 128 - size : 1048576 bytes)
| 2 | 4 | 8 | 16 | 32 | 64 | 128 | 256 | 512 | 1024 | 2048 | 4096 |
|
TVSBS |
0.20 2.96 1.97 - 7.00 | 0.21 2.33 1.54 - 6.52 | 0.24 1.97 1.30 - 8.40 | 0.19 1.31 0.93 - 3.80 | 0.21 1.23 0.82 - 3.73 | 0.23 1.17 0.74 - 2.90 | 0.20 1.05 0.67 - 2.51 | 0.21 1.09 0.67 - 2.40 | 0.23 1.14 0.74 - 2.41 | 0.20 0.91 0.63 - 2.58 | 0.20 0.84 0.59 - 2.02 | 0.19 0.75 0.57 - 2.16 |
FJS |
0.01 2.60 1.83 - 11.02 | 0.01 1.94 1.30 - 8.19 | 0.02 1.59 1.01 - 9.67 | 0.01 1.20 0.75 - 3.10 | 0.01 0.96 0.61 - 2.53 | 0.02 0.91 0.62 - 2.72 | 0.02 0.85 0.55 - 2.60 | 0.02 0.98 0.53 - 2.24 | 0.02 0.85 0.58 - 2.08 | 0.02 0.77 0.50 - 2.10 | 0.03 0.72 0.48 - 1.84 | 0.04 0.65 0.46 - 1.75 |
HASH8 |
0.01 2.13 1.47 - 6.73 | 0.01 2.03 1.44 - 7.19 | 0.02 12.82 9.20 - 31.54 | 0.01 2.00 1.42 - 6.09 | 0.01 1.08 0.82 - 3.27 | 0.01 0.91 0.64 - 5.22 | 0.03 0.91 0.57 - 5.79 | 0.02 0.81 0.52 - 1.85 | 0.02 0.99 0.58 - 1.85 | 0.02 0.90 0.55 - 1.94 | 0.02 0.84 0.50 - 2.06 | 0.03 0.84 0.47 - 1.84 |
SO |
0.02 1.93 1.19 - 7.28 | 0.02 2.13 1.22 - 6.39 | 0.02 2.43 1.22 - 8.64 | 0.01 1.78 1.21 - 5.48 | 0.02 2.03 1.20 - 6.95 | 0.02 1.96 1.13 - 6.15 | 0.02 1.67 1.10 - 4.95 | 0.01 1.51 1.08 - 3.96 | 0.02 1.96 1.07 - 5.53 | 0.02 2.19 1.08 - 4.09 | 0.01 1.57 1.09 - 4.18 | 0.02 1.73 1.07 - 4.85 |
SBNDM |
0.03 3.30 1.78 - 8.26 | 0.02 1.39 0.89 - 4.77 | 0.06 1.45 0.74 - 11.62 | 0.02 0.84 0.52 - 2.21 | 0.04 0.84 0.49 - 6.56 | 0.02 0.76 0.52 - 3.64 | 0.02 0.85 0.53 - 6.54 | 0.02 0.78 0.51 - 5.35 | 0.02 0.75 0.49 - 2.33 | 0.02 0.78 0.53 - 2.24 | 0.02 0.82 0.52 - 2.04 | 0.02 0.75 0.52 - 1.93 |
LBNDM |
0.01 1.84 0.95 - 5.27 | 0.02 1.66 0.78 - 4.31 | 0.02 1.26 0.61 - 7.53 | 0.01 0.92 0.53 - 3.00 | 0.01 0.81 0.51 - 1.98 | 0.02 0.83 0.48 - 2.10 | 0.02 0.93 0.48 - 2.86 | 0.01 0.80 0.47 - 3.03 | 0.01 0.73 0.48 - 2.43 | 0.02 0.68 0.44 - 1.87 | 0.02 0.64 0.44 - 1.81 | 0.02 0.62 0.43 - 1.61 |
SBNDM2 |
0.02 2.00 1.21 - 4.86 | 0.01 1.06 0.74 - 3.24 | 0.01 0.94 0.56 - 3.43 | 0.02 0.94 0.49 - 2.42 | 0.02 0.75 0.47 - 1.62 | 0.00 - 0.54 - 0.91 | 0.00 - 0.49 - 1.83 | 0.00 - 0.52 - 2.83 | 0.00 - 0.50 - 1.87 | 0.00 - 0.47 - 1.43 | 0.00 - 0.52 - 0.87 | 0.00 - 0.55 - 0.89 |
SBNDM-BMH |
0.02 2.16 1.50 - 5.45 | 0.02 1.64 1.02 - 4.46 | 0.02 1.26 0.75 - 9.14 | 0.02 0.91 0.61 - 2.65 | 0.02 0.80 0.59 - 2.62 | 0.02 0.84 0.60 - 2.21 | 0.02 0.88 0.60 - 3.89 | 0.02 0.87 0.57 - 4.69 | 0.02 0.79 0.57 - 2.59 | 0.02 0.76 0.58 - 2.02 | 0.02 0.85 0.56 - 2.08 | 0.02 0.84 0.59 - 2.47 |
FNDM |
0.02 1.77 0.96 - 5.02 | 0.02 1.31 0.70 - 4.52 | 0.02 1.19 0.64 - 2.95 | 0.02 0.88 0.55 - 2.35 | 0.01 0.76 0.54 - 2.25 | 0.02 0.80 0.52 - 3.69 | 0.02 0.94 0.50 - 2.26 | 0.03 0.90 0.50 - 6.55 | 0.02 0.83 0.51 - 2.31 | 0.02 0.77 0.52 - 1.89 | 0.02 0.77 0.51 - 1.89 | 0.01 0.77 0.51 - 2.00 |
FSBNDM |
0.01 1.36 0.82 - 4.43 | 0.01 1.08 0.66 - 3.98 | 0.01 0.89 0.54 - 2.12 | 0.02 0.84 0.49 - 5.50 | 0.01 0.67 0.47 - 1.70 | 0.01 0.69 0.48 - 1.56 | 0.02 0.89 0.48 - 2.05 | 0.02 0.75 0.47 - 4.08 | 0.01 0.69 0.50 - 1.60 | 0.01 0.67 0.48 - 1.50 | 0.01 0.77 0.47 - 1.96 | 0.01 0.71 0.47 - 1.69 |
SBNDMQ8 |
0.01 2.07 1.43 - 6.01 | 0.02 2.14 1.46 - 6.28 | 0.01 5.11 3.16 - 15.51 | 0.02 1.35 0.74 - 3.44 | 0.01 0.78 0.56 - 2.32 | 0.02 0.85 0.55 - 1.99 | 0.01 0.81 0.56 - 2.38 | 0.02 0.83 0.56 - 6.03 | 0.02 0.86 0.56 - 2.44 | 0.02 0.96 0.55 - 2.44 | 0.02 0.86 0.55 - 1.99 | 0.01 0.83 0.55 - 2.28 |
UFNDMQ2 |
0.02 1.50 1.00 - 5.12 | 0.02 1.21 0.74 - 3.31 | 0.02 0.92 0.59 - 2.27 | 0.02 0.99 0.52 - 2.57 | 0.01 0.81 0.47 - 2.05 | 0.01 0.74 0.51 - 2.16 | 0.01 0.78 0.49 - 1.95 | 0.01 0.72 0.50 - 2.11 | 0.02 0.78 0.49 - 3.98 | 0.01 0.83 0.47 - 1.92 | 0.01 0.71 0.47 - 1.58 | 0.01 0.73 0.49 - 1.95 |
UFNDMQ8 |
0.02 2.17 1.44 - 5.67 | 0.02 2.21 1.44 - 6.86 | 0.02 1.54 0.82 - 3.97 | 0.02 0.95 0.62 - 2.50 | 0.01 0.83 0.57 - 2.40 | 0.01 0.98 0.56 - 9.88 | 0.01 0.85 0.56 - 2.43 | 0.01 0.87 0.57 - 2.31 | 0.01 0.90 0.57 - 2.05 | 0.01 0.99 0.56 - 2.45 | 0.01 0.86 0.55 - 1.86 | 0.01 0.82 0.57 - 2.44 |
KBNDM |
0.01 2.98 2.10 - 8.63 | 0.02 2.02 1.28 - 5.82 | 0.01 1.39 0.87 - 3.10 | 0.02 1.14 0.65 - 2.75 | 0.02 0.90 0.59 - 2.17 | 0.02 0.99 0.55 - 2.13 | 0.02 0.81 0.50 - 1.78 | 0.02 0.91 0.48 - 2.69 | 0.01 0.75 0.50 - 2.31 | 0.02 0.95 0.49 - 2.03 | 0.02 0.83 0.48 - 1.85 | 0.02 0.88 0.51 - 2.02 |
FS-W2 |
0.04 1.95 1.35 - 5.53 | 0.05 1.48 0.94 - 4.75 | 0.04 1.04 0.72 - 3.12 | 0.04 0.93 0.60 - 2.63 | 0.05 0.96 0.57 - 2.18 | 0.00 - 0.07 - 2.80 | 0.00 - 0.04 - 4.84 | 0.05 0.75 0.50 - 2.00 | 0.00 - 0.04 - 1.99 | 0.00 - 0.04 - 0.95 | 0.00 - 0.12 - 0.83 | 0.00 - 0.06 - 1.46 |
LWFR5 |
0.01 2.10 1.46 - 6.07 | 0.02 2.28 1.43 - 12.51 | 0.07 3.02 1.75 - 25.16 | 0.07 1.04 0.59 - 2.81 | 0.09 1.06 0.52 - 2.13 | 0.08 0.83 0.52 - 4.83 | 0.08 0.84 0.50 - 1.91 | 0.07 0.69 0.49 - 1.96 | 0.08 0.69 0.49 - 2.18 | 0.10 0.76 0.46 - 2.82 | 0.12 0.74 0.50 - 2.97 | 0.19 1.21 0.50 - 22.00 |
QF43 |
0.02 2.28 1.45 - 5.61 | 0.02 2.48 1.41 - 5.88 | 0.02 1.09 0.73 - 3.71 | 0.02 0.83 0.57 - 2.44 | 0.02 0.84 0.49 - 4.25 | 0.02 0.73 0.47 - 1.85 | 0.02 0.78 0.46 - 1.59 | 0.02 0.64 0.44 - 1.46 | 0.02 0.64 0.41 - 2.70 | 0.02 0.62 0.42 - 1.46 | 0.02 0.64 0.42 - 2.49 | 0.02 0.65 0.43 - 2.27 |
SBNDM-W2 |
0.02 1.74 1.00 - 6.12 | 0.01 1.16 0.72 - 3.08 | 0.02 1.12 0.62 - 3.60 | 0.01 0.87 0.54 - 2.50 | 0.02 0.84 0.53 - 2.17 | 0.02 0.91 0.55 - 2.33 | 0.02 0.86 0.51 - 2.33 | 0.02 0.87 0.52 - 2.24 | 0.02 0.78 0.53 - 3.09 | 0.02 0.86 0.52 - 2.30 | 0.02 0.80 0.53 - 1.91 | 0.02 0.91 0.53 - 4.90 |
WFR2 |
0.06 2.56 1.52 - 7.19 | 0.07 1.46 0.85 - 4.01 | 0.08 1.48 0.67 - 3.09 | 0.06 0.90 0.54 - 3.11 | 0.07 0.88 0.54 - 1.92 | 0.06 0.74 0.54 - 1.88 | 0.08 0.91 0.51 - 2.37 | 0.08 0.85 0.49 - 1.95 | 0.07 0.69 0.48 - 2.12 | 0.08 0.72 0.46 - 3.84 | 0.11 0.91 0.47 - 5.95 | 0.17 1.86 0.49 - 20.68 |
TWFRQ2 |
0.06 1.86 1.18 - 5.53 | 0.07 1.27 0.74 - 3.32 | 0.06 0.95 0.61 - 2.62 | 0.07 0.95 0.54 - 1.94 | 0.08 1.00 0.51 - 1.79 | 0.07 0.83 0.53 - 1.72 | 0.07 0.80 0.50 - 2.51 | 0.06 0.71 0.47 - 2.27 | 0.08 0.86 0.46 - 4.10 | 0.07 0.77 0.46 - 3.48 | 0.10 1.13 0.46 - 5.74 | 0.10 1.58 0.47 - 31.64 |
TWFRQ4 |
0.02 2.46 1.45 - 6.88 | 0.06 2.54 1.60 - 10.64 | 0.06 1.01 0.72 - 3.38 | 0.07 0.97 0.56 - 2.34 | 0.06 0.79 0.50 - 1.96 | 0.07 0.82 0.49 - 2.16 | 0.06 0.69 0.49 - 1.72 | 0.07 0.77 0.48 - 3.31 | 0.07 0.72 0.46 - 2.00 | 0.07 0.75 0.45 - 2.87 | 0.07 0.74 0.46 - 2.72 | 0.08 1.19 0.45 - 11.98 |
WOM |
0.02 3.05 1.87 - 7.50 | 0.02 2.23 1.36 - 7.32 | 0.02 1.55 0.98 - 4.27 | 0.02 1.13 0.74 - 4.35 | 0.02 0.94 0.63 - 2.54 | 0.02 0.99 0.61 - 3.05 | 0.02 0.92 0.52 - 2.13 | 0.02 0.83 0.50 - 2.42 | 0.02 0.84 0.54 - 1.86 | 0.03 0.82 0.48 - 1.72 | 0.03 0.72 0.47 - 1.81 | 0.03 0.59 0.45 - 1.37 |
LIBC1 |
0.01 1.61 1.07 - 4.28 | 0.01 1.23 0.80 - 4.59 | 0.01 1.17 0.63 - 3.47 | 0.01 0.83 0.52 - 2.70 | 0.01 0.80 0.49 - 5.06 | 0.01 0.88 0.49 - 1.94 | 0.01 0.83 0.49 - 3.42 | 0.01 0.91 0.46 - 1.83 | 0.01 0.80 0.51 - 2.09 | 0.01 0.78 0.48 - 1.85 | 0.01 0.73 0.48 - 1.71 | 0.01 0.74 0.44 - 1.87 |
MUSL1 |
0.00 0.13 0.00 - 2.61 | 0.00 0.57 0.01 - 3.05 | 0.00 0.52 0.01 - 2.51 | 0.00 0.50 0.01 - 3.47 | 0.00 0.46 0.01 - 2.03 | 0.00 0.43 0.01 - 1.79 | 0.00 0.39 0.01 - 1.84 | 0.01 0.46 0.01 - 1.79 | 0.01 0.42 0.01 - 1.77 | 0.01 0.38 0.02 - 1.44 | 0.01 0.36 0.03 - 1.54 | 0.03 0.38 0.02 - 1.34 |
SIMDKR |
0.02 0.89 0.47 - 2.19 | 0.02 0.82 0.47 - 3.88 | 0.01 0.75 0.50 - 2.17 | 0.01 0.78 0.48 - 6.26 | 0.01 0.76 0.47 - 2.07 | 0.01 0.76 0.50 - 2.41 | 0.02 0.87 0.48 - 2.26 | 0.01 0.84 0.50 - 1.94 | 0.01 0.69 0.48 - 1.79 | 0.01 0.73 0.47 - 1.94 | 0.01 0.72 0.48 - 2.89 | 0.01 0.72 0.48 - 1.78 |
EPSM |
0.01 0.83 0.50 - 1.95 | 0.05 0.95 0.60 - 12.99 | 0.02 0.93 0.59 - 2.58 | 0.03 1.08 0.67 - 2.90 | 0.02 0.74 0.53 - 1.81 | 0.02 0.68 0.51 - 2.73 | 0.03 0.75 0.47 - 1.65 | 0.04 0.75 0.48 - 1.67 | 0.05 0.75 0.49 - 1.98 | 0.09 0.83 0.50 - 1.94 | 0.15 0.79 0.55 - 2.56 | 0.36 1.15 0.70 - 3.93 |
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.