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3
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g
Op
en
MP
p
ar
allel
m
e
th
o
d
?
”
Hen
ce
,
th
e
s
u
b
ad
d
r
ess
o
f
th
e
m
ai
n
ad
d
r
ess
is
“
Ho
w
to
d
e
m
o
n
s
tr
ate
t
h
e
e
x
ec
u
tio
n
e
n
h
a
n
c
e
m
en
t
o
f
t
h
e
p
ar
allel
f
o
r
m
o
f
th
e
Ma
x
i
m
u
m
-
S
h
i
f
t
s
tr
in
g
m
atch
in
g
al
g
o
r
ith
m
co
m
p
ar
ed
w
it
h
it
s
ex
ec
u
tio
n
o
f
t
h
e
co
n
s
ec
u
ti
v
e?
”
I
n
th
i
s
m
an
n
er
,
th
e
co
n
tr
ib
u
tio
n
o
f
th
i
s
p
ap
er
is
to
e
x
a
m
i
n
e
t
h
e
ap
p
r
o
p
r
iaten
ess
o
f
p
ar
alleliza
tio
n
th
e
Ma
x
i
m
u
m
-
S
h
i
f
t
al
g
o
r
ith
m
o
n
m
u
lti
-
co
r
e
en
v
ir
o
n
m
e
n
t
u
tili
zi
n
g
Op
en
M
P
.
2.
RE
L
AT
E
D
WO
RK
S
2
.
1
.
E
x
a
ct
s
t
ring
-
m
a
t
ching
a
lg
o
rit
h
m
Strin
g
m
atc
h
in
g
is
co
n
s
id
er
ed
as
a
s
ea
r
ch
i
n
g
p
r
o
ce
s
s
e
x
ec
u
t
ed
to
ex
a
m
in
e
a
t
t
w
o
li
m
i
ted
-
len
g
th
s
o
f
s
tr
in
g
s
.
I
t
ca
n
b
e
ch
ar
ac
ter
ize
d
as
ex
ac
t
s
tr
in
g
m
atc
h
i
n
g
p
r
o
ce
d
u
r
e
u
tili
ze
d
to
d
is
co
v
er
all
o
cc
u
r
r
en
ce
s
o
f
th
e
p
atter
n
P
o
f
len
g
t
h
o
f
m
(
P
[
1
]
….
P
[
m
-
1
]
)
wi
t
h
i
n
t
h
e
tex
t str
in
g
T
o
f
le
n
g
th
o
f
n
(
T [
1
]
….
T [
n
-
1
]
)
,
w
h
er
e
th
e
m
a
n
d
n
>
0
an
d
th
e
m
≤
n
.
,
as
w
ell
as
b
o
th
o
f
th
e
P
an
d
T
h
av
e
th
e
s
a
m
e
letter
s
et
∑
.
[
1
1
]
.
I
t
is
p
r
ed
o
m
in
a
n
tl
y
a
n
d
b
r
o
ad
ly
u
t
ilized
in
d
i
f
f
er
en
t
ar
ea
s
s
u
c
h
as
w
eb
s
ea
r
ch
en
g
i
n
e,
ar
ti
f
ici
a
l
in
tel
lig
e
n
ce
[
1
2
]
,
[
1
3
]
,
r
em
o
te
s
e
n
s
i
n
g
,
ae
r
ial
p
h
o
to
g
r
ap
h
y
,
ca
r
to
g
r
ap
h
y
,
m
ed
ical
d
iag
n
o
s
tics
[
1
]
,
co
m
p
u
tat
io
n
al
b
io
lo
g
y
[
1
4
]
,
co
m
p
iler
s
,
an
d
co
m
m
a
n
d
in
ter
p
r
eter
s
[
1
5
]
.
T
h
e
p
er
s
is
ten
t
ch
alle
n
g
es
o
f
s
tr
i
n
g
m
at
ch
in
g
i
n
clu
d
e
th
e
d
u
p
licatio
n
o
f
d
atab
ases
ea
c
h
t
w
o
y
ea
r
s
,
a
n
d
t
h
is
a
f
f
ec
t
ed
th
e
s
p
ee
d
o
f
co
m
p
u
ter
s
,
w
h
ic
h
lead
s
to
th
e
in
cr
e
m
e
n
t
w
it
h
i
n
th
e
s
ize
o
f
m
e
m
o
r
y
.
Hen
ce
,
u
tili
ze
o
f
th
e
ef
f
ec
ti
v
e
s
tr
i
n
g
-
m
atc
h
in
g
al
g
o
r
ith
m
s
i
s
f
u
n
d
a
m
en
ta
l to
r
eso
lv
e
th
e
s
e
i
s
s
u
es [
1
1
]
,
[
1
2
]
.
T
h
er
e
ar
e
v
ar
io
u
s
ex
ac
t
s
tr
in
g
m
atc
h
in
g
alg
o
r
it
h
m
i
n
p
r
esen
c
e,
s
u
ch
as
th
e
h
y
b
r
id
alg
o
r
ith
m
b
et
w
ee
n
th
e
B
er
r
y
-
R
av
in
d
r
an
a
n
d
th
e
Sk
ip
Sear
ch
al
g
o
r
ith
m
s
n
a
m
ed
as
B
er
r
y
R
av
in
d
r
an
S
k
ip
Sear
ch
(
B
R
SS
)
alg
o
r
ith
m
.
T
h
is
alg
o
r
it
h
m
is
d
ep
en
d
en
t
u
p
o
n
t
h
e
m
o
r
e
s
u
p
er
io
r
p
r
o
p
er
ties
o
f
th
e
o
r
ig
in
a
l
alg
o
r
it
h
m
s
,
w
h
er
e
th
e
s
k
ip
s
ea
r
ch
alg
o
r
it
h
m
d
e
m
o
n
s
tr
ates
f
a
v
o
r
ab
le
p
er
f
o
r
m
an
ce
w
h
en
it
is
u
ti
lized
w
it
h
s
m
al
l
alp
h
ab
ets
s
ize.
Me
an
w
h
ile,
t
h
e
ef
f
icie
n
c
y
o
f
th
e
B
er
r
y
-
R
a
v
in
d
r
an
alg
o
r
it
h
m
is
in
t
h
e
p
r
o
v
is
io
n
o
f
a
lo
n
g
s
h
if
t
d
u
r
in
g
t
h
e
s
ea
r
ch
i
n
g
tec
h
n
iq
u
e.
T
h
e
p
r
e
p
r
o
ce
s
s
in
g
p
h
a
s
e
o
f
th
is
alg
o
r
ith
m
i
s
d
ep
en
d
en
t
u
p
o
n
t
w
o
tab
les
(
b
r
B
c)
;
tab
le
cr
ea
ted
f
r
o
m
th
e
B
er
r
y
-
R
av
i
n
d
r
an
alg
o
r
ith
m
,
an
d
th
e
s
ec
o
n
d
tab
le
cr
ea
ted
is
th
e
b
u
ck
et
lis
t.
T
h
e
s
ea
r
ch
in
g
p
h
ase
in
v
o
lv
e
s
th
e
ch
ec
k
i
n
g
o
f
th
e
ch
ar
ac
ter
s
f
o
u
n
d
in
th
e
b
u
ck
et,
o
f
w
h
ic
h
th
e
c
h
ar
ac
ter
is
th
en
ar
r
an
g
e
d
b
et
w
ee
n
th
e
i
n
itia
l
p
o
in
t
o
f
t
h
e
s
ea
r
ch
a
n
d
th
e
p
atter
n
to
th
e
lo
ca
tio
n
o
f
t
h
at
c
h
ar
ac
ter
in
th
e
b
u
ck
et.
T
h
e
co
m
p
ar
is
o
n
is
in
itia
ted
f
r
o
m
th
e
lef
t
to
th
e
r
ig
h
t,
an
d
w
h
e
n
th
er
e
is
a
m
atc
h
o
r
a
m
is
m
atc
h
,
th
e
s
h
i
f
ti
n
g
d
ep
en
d
s
o
n
t
h
e
b
u
c
k
et
s
h
i
f
t
v
alu
e
b
ein
g
≥
t
h
e
b
ad
ch
ar
ac
ter
.
Nex
t,
t
h
e
b
u
c
k
et
w
ill
u
s
e
th
e
s
h
i
f
t
v
al
u
e,
a
n
d
i
f
th
e
b
ad
ch
ar
ac
ter
s
h
i
f
t
≥
f
r
o
m
len
g
th
o
f
p
atter
n
,
th
e
n
t
h
e
s
h
if
tin
g
is
d
ep
en
d
en
t o
n
th
e
b
ad
ch
ar
ac
ter
s
h
i
f
t [
1
6
]
.
T
h
e
tw
o
-
s
lid
i
n
g
w
i
n
d
o
w
s
alg
o
r
ith
m
(
T
SW
)
,
d
ep
en
d
s
o
n
th
e
p
atter
n
o
f
s
lid
in
g
w
in
d
o
w
s
t
o
ch
ec
k
th
e
tex
t
s
i
m
u
ltan
eo
u
s
l
y
f
r
o
m
t
h
e
lef
t
an
d
r
ig
h
t
s
id
e.
T
h
is
alg
o
r
it
h
m
u
tili
ze
s
t
w
o
w
i
n
d
o
w
s
,
o
n
e
f
r
o
m
t
h
e
lef
t
an
d
alig
n
ed
to
th
e
te
x
t
f
r
o
m
t
h
e
le
f
t
s
id
e,
an
d
th
e
s
ec
o
n
d
i
s
f
r
o
m
th
e
r
i
g
h
t
a
n
d
is
a
lig
n
ed
to
t
h
e
tex
t
f
r
o
m
t
h
e
r
i
g
h
t
s
id
e.
T
h
e
co
m
p
ar
is
o
n
p
r
o
ce
s
s
b
et
w
ee
n
t
h
e
p
atter
n
a
n
d
tex
t o
cc
u
r
s
f
r
o
m
b
o
th
s
id
es si
m
u
lta
n
eo
u
s
l
y
,
w
h
e
n
th
er
e
is
a
m
i
s
m
atch
,
t
h
e
s
h
i
f
ti
n
g
w
il
l
th
e
n
o
cc
u
r
f
o
r
b
o
th
o
f
t
h
e
t
wo
s
id
es,
f
r
o
m
t
h
e
le
f
t
s
id
e
a
s
h
if
t
w
il
l
b
e
ex
ec
u
ted
to
th
e
r
i
g
h
t,
a
n
d
t
h
e
r
ig
h
t
w
ill
s
h
i
f
t
to
t
h
e
le
f
t
s
id
e.
T
h
e
s
h
i
f
t
o
p
er
atio
n
d
ep
en
d
s
o
n
th
e
B
er
r
y
-
R
a
v
i
n
d
r
an
s
h
i
f
t
tech
n
iq
u
e,
w
h
ich
ta
k
es t
w
o
c
h
ar
ac
ter
s
co
n
s
ec
u
t
iv
el
y
[
1
7
]
,
[
1
8
]
.
I
n
ad
d
itio
n
to
th
is
alg
o
r
ith
m
,
an
o
th
er
alg
o
r
it
h
m
k
n
o
w
n
a
s
th
e
f
r
an
ek
-
j
en
n
in
g
s
-
s
m
y
t
h
(
FJ
S)
alg
o
r
ith
m
is
a
h
y
b
r
id
b
et
w
ee
n
K
n
u
t
h
-
Mo
r
r
is
-
P
r
att
(
KM
P
)
p
atter
n
-
m
atc
h
in
g
al
g
o
r
ith
m
an
d
Qu
i
ck
s
ea
r
ch
al
g
o
r
ith
m
,
w
h
er
e
th
er
e
ar
e
t
w
o
s
tag
e
s
t
o
th
is
alg
o
r
it
h
m
.
W
ith
i
n
th
e
to
b
eg
in
w
it
h
s
ta
g
e
th
er
e
ar
e
t
w
o
s
tep
s
t
h
at
ar
e
u
tili
ze
d
b
y
t
h
e
al
g
o
r
ith
m
f
o
r
co
m
p
a
r
is
o
n
.
A
co
m
p
ar
is
o
n
is
m
ad
e
b
et
w
ee
n
t
h
e
te
x
t
w
i
n
d
o
w
an
d
t
h
e
p
atter
n
,
w
h
er
e
th
e
a
lg
o
r
it
h
m
p
r
o
ce
d
u
r
e
d
ep
en
d
s
o
n
th
e
Q
u
ic
k
s
ea
r
c
h
alg
o
r
it
h
m
.
T
h
e
co
m
p
ar
is
o
n
is
s
tar
ted
f
r
o
m
t
h
e
f
u
r
t
h
es
t
r
ig
h
t
o
f
t
h
e
p
atter
n
,
a
n
d
w
h
e
n
th
er
e
's
a
m
i
s
m
a
tch
,
t
h
e
s
h
i
f
t
d
ep
en
d
s
o
n
q
u
ic
k
s
ea
r
ch
i
m
p
le
m
e
n
tatio
n
.
Oth
er
w
i
s
e,
th
e
FJ
S
w
il
l
d
ep
en
d
o
n
t
h
e
s
ec
o
n
d
s
ta
g
e.
W
it
h
i
n
t
h
e
s
ec
o
n
d
s
ta
g
e,
t
h
e
KM
P
m
atc
h
in
g
tec
h
n
iq
u
e
w
il
l star
t a
co
m
p
ar
is
o
n
f
r
o
m
t
h
e
lef
t to
r
ig
h
t,
w
h
er
ea
s
t
h
e
s
h
if
t is d
ep
en
d
e
n
t o
n
t
h
e
f
ir
s
t sta
g
e
[
1
9
]
,
[
2
0
]
.
2
.
2
.
P
a
ra
llel o
f
t
he
ex
a
ct
s
t
ring
-
m
a
t
ching
a
lg
o
rit
h
m
s
T
h
er
e
ar
e
n
u
m
er
o
u
s
p
ar
allel
ex
ac
t
s
tr
in
g
m
atch
in
g
al
g
o
r
it
h
m
s
t
h
at
ar
e
i
m
p
le
m
en
ted
to
ex
ten
d
t
h
e
ex
ec
u
t
io
n
b
y
d
i
m
in
is
h
in
g
t
h
e
ti
m
e
co
n
s
u
m
ed
b
y
th
e
al
g
o
r
ith
m
s
o
f
th
e
m
u
lti
co
r
es
/
p
r
o
ce
s
s
o
r
s
.
On
e
illu
s
tr
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[
2
2
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3
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2
.
P
a
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m
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m
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if
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m
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h
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[
6
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.
T
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E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
22
,
No
.
3
,
J
u
n
e
2
0
2
1
:
1
5
2
9
-
1
5
3
9
1532
I
n
th
e
s
ea
r
ch
i
n
g
p
h
ase,
t
h
e
Ma
x
i
m
u
m
-
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h
i
f
t
al
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o
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ith
m
is
ex
ec
u
ted
b
y
u
tili
zi
n
g
t
h
e
m
u
ltico
r
e
p
r
o
ce
s
s
in
g
an
d
th
e
p
r
o
g
r
a
m
m
i
n
g
Op
en
MP
en
v
ir
o
n
m
e
n
t
s
.
T
h
e
p
latf
o
r
m
o
f
Op
en
MP
ex
ec
u
ted
in
th
e
p
r
o
g
r
am
m
i
n
g
is
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ep
en
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e
n
t
u
p
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n
th
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d
i
v
is
io
n
o
f
th
e
w
h
o
le
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ata
to
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e
c
h
u
n
k
s
(
b
lo
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b
y
th
e
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r
k
o
p
er
atio
n
an
d
th
e
j
o
in
p
r
o
ce
s
s
es.
T
h
e
p
r
o
g
r
a
m
is
in
i
tiall
y
e
x
ec
u
ted
b
y
th
e
th
r
ea
d
ter
m
ed
as
th
e
m
ast
er
th
r
ea
d
,
an
d
th
is
th
r
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d
d
is
tr
ib
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te
s
t
h
e
f
u
n
cti
o
n
s
to
t
h
e
s
lav
e
(
w
o
r
k
er
s
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t
h
r
ea
d
s
.
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h
e
p
ar
allel
Ma
x
i
m
u
m
-
Sh
i
f
t
alg
o
r
it
h
m
in
itiate
s
t
h
e
ex
ec
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tio
n
i
n
th
e
s
er
ial
p
r
o
g
r
am
u
s
in
g
t
h
e
m
aste
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th
r
ea
d
,
an
d
co
n
ti
n
u
e
u
p
to
t
h
e
s
ea
r
c
h
in
g
p
h
a
s
e
o
p
er
atio
n
.
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n
th
is
s
ta
g
e,
t
h
e
w
o
r
k
er
t
h
r
ea
d
s
ar
e
cr
ea
ted
.
T
h
e
n
u
m
b
er
o
f
th
r
ea
d
s
w
ill
b
e
2
4
b
ec
au
s
e
t
h
e
ex
ec
u
t
io
n
u
tili
ze
s
t
h
e
cl
u
s
ter
w
it
h
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n
e
n
o
d
e
an
d
2
4
co
r
es.
E
ac
h
w
o
r
k
er
t
h
r
ea
d
i
m
p
le
m
en
ts
t
h
e
s
ea
r
ch
i
n
g
p
h
ase
o
p
er
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n
s
o
n
o
n
e
b
lo
ck
f
r
o
m
t
h
e
d
ata
th
at
is
d
iv
id
ed
i
n
to
b
lo
ck
s
,
an
d
w
h
e
n
th
e
ex
ec
u
tio
n
is
co
m
p
leted
,
th
e
r
es
u
lt
w
ill
b
e
tr
an
s
m
itted
i
n
to
th
e
m
aster
t
h
r
ea
d
.
T
h
e
m
a
s
ter
th
r
ea
d
th
e
n
co
llects
all
o
f
th
e
r
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u
lts
b
y
u
s
in
g
j
o
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o
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e
r
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p
r
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s
s
,
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d
w
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ll
th
en
d
is
p
la
y
th
e
f
i
n
al
o
u
tp
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t
(
f
in
al
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lt).
T
h
is
p
r
o
ce
s
s
w
i
ll
b
e
ex
ec
u
ted
in
a
s
er
ial
p
r
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a
m
,
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ter
th
e
w
o
r
k
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th
r
ea
d
s
tr
an
s
m
i
t
th
e
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e
s
u
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ts
f
o
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ch
d
ata
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to
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e
m
aster
th
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d
,
w
h
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h
w
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l th
e
n
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e
au
to
m
atica
ll
y
ter
m
i
n
ated
,
as sh
o
w
n
i
n
Fi
g
u
r
e
2
.
Fig
u
r
e
1
.
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h
e
Ma
x
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m
u
m
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f
t
alg
o
r
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h
n
iq
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e
3
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.
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a
t
t
uta
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t
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h
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lu
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ter
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u
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ter
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n
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h
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d
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ted
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g
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th
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h
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ter
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ce
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ti
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la
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ia
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h
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s
ter
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o
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es
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e
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ter
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an
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h
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ter
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,
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an
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m
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te
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n
i
f
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ev
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ar
ch
itect
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r
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(
C
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3
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T
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r
m
a
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m
et
ri
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I
n
th
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s
s
t
u
d
y
t
h
e
p
r
o
p
o
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ed
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s
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h
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p
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d
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g
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ith
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t
o
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t
h
e
m
e
tr
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th
at
ar
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ti
lized
to
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m
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th
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r
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u
lt
s
o
f
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h
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allel
an
d
s
eq
u
e
n
tial
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o
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it
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,
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h
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p
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e
n
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en
t
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m
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s
s
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u
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y
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m
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is
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o
f
th
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ex
ec
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tio
n
ti
m
e,
s
p
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u
p
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an
d
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icie
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c
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[
2
3
]
.
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h
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m
e
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at
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r
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an
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o
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th
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p
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f
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ce
o
f
o
n
e
p
r
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ess
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ter
m
ed
as
th
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s
eq
u
e
n
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m
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w
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m
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co
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u
m
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b
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w
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t
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m
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f
o
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t
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ir
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to
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ti
m
e
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la
s
t
p
r
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s
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ter
m
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m
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h
e
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s
d
en
o
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e
s
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en
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x
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t
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ti
m
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w
h
i
le
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p
is
th
e
p
ar
al
lel
ex
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u
t
io
n
ti
m
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
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J
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lec
E
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&
C
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N:
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s
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t
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f
f
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cr
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s
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w
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u
r
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2
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l
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n
J
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lec
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Vo
l.
22
,
No
.
3
,
J
u
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2
0
2
1
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[
2
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.
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ize
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tex
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;
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y
f
o
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r
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,
7
7
m
s
.
T
h
e
DNA
d
atab
ase
ap
p
ea
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ed
th
e
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:
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1
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t
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g
o
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th
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s
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ti
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e
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t
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ce
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as
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ig
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et
s
ize
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5
]
,
as
s
h
o
w
n
in
Fi
g
u
r
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3
,
Fig
u
r
e
4
,
an
d
Fig
u
r
e
5.
T
ab
le
1
.
Seq
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en
tial e
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tio
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ti
m
e
a
n
d
p
ar
allel
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u
t
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ti
m
e
(
m
s
.
)
w
h
e
n
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s
i
n
g
1
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f
DNA
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Seq
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tial e
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m
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n
d
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ti
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.
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h
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n
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g
1
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o
f
E
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g
l
is
h
d
atab
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t
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p
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n
N
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mb
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r
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RE
F
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R
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NC
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[1
]
C.
S
.
K
o
u
z
in
o
p
o
u
lo
s,
P
.
D
M
ich
a
il
id
is,
a
n
d
K.
G
.
M
a
rg
a
rit
is
,
“
P
a
r
a
ll
e
l
Im
p
le
m
e
n
tatio
n
o
f
Ex
a
c
t
Tw
o
Di
m
e
n
sio
n
a
l
P
a
tt
e
r
n
M
a
tc
h
in
g
A
lg
o
rit
h
m
s
u
sin
g
M
P
I
a
n
d
Op
e
n
M
P
,
”
9
t
h
He
ll
e
n
ic
Eu
r
o
p
e
a
n
Res
e
a
rc
h
o
n
C
o
mp
u
ter
M
a
th
e
ma
ti
c
s a
n
d
it
s A
p
p
li
c
a
ti
o
n
s
Co
n
fer
e
n
c
e
”
p
p
.
1
-
6
,
2
0
0
9
.
[2
]
Y.
Y.
L
e
o
w
,
C.
Y.
Ng
,
a
n
d
W
.
F
.
W
o
n
g
,
“
G
e
n
e
ra
ti
n
g
h
a
rd
w
a
r
e
fro
m
Op
e
n
M
P
p
r
o
g
ra
m
s
,
”
Pro
c
e
e
d
in
g
s
o
f
IEE
E
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
F
ield
Pro
g
ra
mm
a
b
le T
e
c
h
n
o
l
o
g
y
,
p
p
.
73
-
8
0
,
2
0
0
6
,
d
o
i
:
1
0
.
1
1
0
9
/F
P
T
.
2
0
0
6
.
2
7
0
2
9
7
.
[3
]
A
.
Hn
a
if
,
A
.
M
o
h
a
m
m
a
d
,
O.
A
.
A
b
o
u
a
b
d
a
ll
a
,
a
n
d
S
.
Ra
m
a
d
a
ss
,
“
P
a
ra
ll
e
l
Qu
ick
S
e
a
rc
h
A
lg
o
rit
h
m
to
S
p
e
e
d
P
a
c
k
e
t
P
a
y
lo
a
d
F
il
teri
n
g
in
NID
S
,
”
J
o
u
r
n
a
l
o
f
E
n
g
in
e
e
rin
g
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
4
,
n
o
.
2
,
p
p
.
1
-
7
,
2
0
0
8
.
[4
]
A
.
A
.
Ha
s
a
n
,
N.
A
b
d
u
l
Ra
sh
i
d
,
A
.
A
.
A
b
d
u
lraz
z
a
q
,
a
n
d
M
.
A
.
A
b
u
-
Ha
sh
e
m
,
“
S
tri
n
g
M
a
tch
in
g
A
l
g
o
rit
h
m
s
f
o
r
In
tru
si
o
n
De
tec
ti
o
n
S
y
ste
m
A
S
u
rv
e
y
a
n
d
T
a
x
o
n
o
m
y
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Ad
v
a
n
c
e
me
n
t
s
in
Co
mp
u
ti
n
g
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
5
,
n
o
.
8,
p
p
.
3
1
7
-
3
3
3
,
2
0
1
3
,
d
o
i:
1
0
.
4
1
5
6
/i
jac
t.
v
o
l
5
.
issu
e
8
.
3
6
.
[5
]
Je
sú
s Cá
m
a
ra
,
Ja
v
ier Cu
e
n
c
a
,
L
u
is
-
P
e
d
r
o
G
a
rc
ía,
a
n
d
Do
m
in
g
o
G
i
m
é
n
e
z
a
,
“
E
m
p
iri
c
a
l
M
o
d
e
ll
i
n
g
o
f
L
in
e
a
r
A
l
g
e
b
ra
S
h
a
re
d
-
M
e
m
o
r
y
Ro
u
ti
n
e
s
Em
p
iri
c
a
l
M
o
d
e
ll
in
g
o
f
L
in
e
a
r
A
lg
e
b
ra
S
h
a
re
d
-
M
e
m
o
r
y
Ro
u
ti
n
e
s,”
Pr
o
c
e
d
ia
Co
mp
u
ter
S
c
ien
c
e
, v
o
l
1
8
,
p
p
.
1
1
0
-
1
1
9
,
2
0
1
3
,
d
o
i:
1
0
.
1
0
1
6
/j
.
p
ro
c
s.
2
0
1
3
.
0
5
.
1
7
4
.
[6
]
N.
Ha
z
i
m
,
M
.
A
.
S
a
h
ib
Na
se
r,
a
n
d
Zaid
G
.
A
li
,
“
P
a
ra
ll
e
l
Qu
ick
S
e
a
rc
h
A
l
g
o
rit
h
m
f
o
r
th
e
Ex
a
c
t
S
tri
n
g
M
a
tch
in
g
P
r
o
b
lem
Us
in
g
Op
e
n
M
P
,
”
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
a
n
d
C
o
mm
u
n
ica
ti
o
n
s
,
v
o
l
.
4
,
n
o
.
1
3
,
p
p
.
1
-
1
1
,
2
0
1
6
,
d
o
i:
1
0
.
4
2
3
6
/j
c
c
.
2
0
1
6
.
4
1
3
0
0
1
.
[7
]
Nh
a
t
-
P
h
u
o
n
g
T
ra
n
,
M
y
u
n
g
h
o
L
e
e
,
a
n
d
Do
n
g
Ho
o
n
Ch
o
i
,
“
Ca
c
h
e
L
o
c
a
li
t
y
-
Ce
n
tri
c
P
a
ra
ll
e
l
S
tri
n
g
M
a
tch
in
g
o
n
M
a
n
y
-
Co
re
A
c
c
e
lera
to
r
Ch
ip
s,”
Hin
d
a
w
i
Pu
b
li
sh
i
n
g
C
o
rp
o
r
a
ti
o
n
,
S
c
ie
n
ti
fi
c
Pro
g
ra
mm
in
g
,
v
ol
.
2
0
1
5
,
p
p
.
1
-
2
1
,
2
0
1
5
,
d
o
i:
1
0
.
1
1
5
5
/
2
0
1
5
/9
3
7
6
9
4
.
[8
]
R.
Jin
,
G
.
Ya
n
g
,
a
n
d
G
.
Ag
ra
w
a
l
,
“
S
h
a
re
d
M
e
m
o
r
y
P
a
ra
ll
e
li
z
a
ti
o
n
o
f
Da
ta
M
in
i
n
g
A
lg
o
rit
h
m
s:
T
e
c
h
n
iq
u
e
s,
P
r
o
g
ra
m
m
in
g
In
terf
a
c
e
,
a
n
d
P
e
rf
o
rm
a
n
c
e
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
Kn
o
wled
g
e
a
n
d
Da
t
a
E
n
g
i
n
e
e
rin
g
,
v
o
l.
1
7
,
n
o
.
1
,
p
p
.
1
-
1
9
,
2
0
0
5
,
d
o
i:
1
0
.
1
1
0
9
/T
KD
E.
2
0
0
5
.
1
8
.
[9
]
M
.
He
m
n
a
n
i,
“
P
a
ra
ll
e
l
p
r
o
c
e
ss
i
n
g
tec
h
n
iq
u
e
s
f
o
r
h
ig
h
p
e
rf
o
rm
a
n
c
e
i
m
a
g
e
p
ro
c
e
ss
in
g
a
p
p
li
c
a
ti
o
n
s
,
”
2
0
1
6
IEE
E
S
tu
d
e
n
ts
'
Co
n
fer
e
n
c
e
o
n
El
e
c
trica
l,
El
e
c
tro
n
ics
a
n
d
Co
m
p
u
ter
S
c
ien
c
e
(
S
CEE
CS
)
,
p
p
.
1
-
4
,
2
0
1
6
,
d
o
i:
1
0
.
1
1
0
9
/S
CE
ECS
.
2
0
1
6
.
7
5
0
9
3
1
6
.
[1
0
]
K.
N.
Ra
i,
K
.
Na
th
Ra
i,
a
n
d
V
.
Ku
m
a
r
S
in
g
h
,
“
A
P
a
ra
ll
e
l
P
ro
c
e
ss
in
g
T
e
c
h
n
iq
u
e
Ba
se
d
o
n
G
M
O
a
n
d
BC
S
f
o
r
M
e
d
ica
l
Im
a
g
e
En
c
r
y
p
ti
o
n
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
In
n
o
v
a
t
ive
T
e
c
h
n
o
l
o
g
y
a
n
d
Exp
l
o
rin
g
En
g
i
n
e
e
rin
g
(
IJ
IT
EE
)
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
3
4
1
8
-
3
4
2
7
,
2
0
2
0
.
[1
1
]
A
.
A
b
d
u
lraz
z
a
q
,
Nu
r'
A
in
i
A
b
d
u
l
Ra
sh
i
d
,
a
n
d
A
.
M
a
j
i
d
T
a
h
a
,
“
T
h
e
En
h
a
n
c
e
d
Hy
b
rid
A
lg
o
rit
h
m
f
o
r
th
e
A
b
d
u
lRaz
z
a
q
a
n
d
Be
rry
-
R
a
v
in
d
ra
n
A
lg
o
rit
h
m
s,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
E
n
g
i
n
e
e
rin
g
&
T
e
c
h
n
o
lo
g
y
,
v
o
l.
7
,
n
o
.
3
,
pp.
1
7
0
9
-
1
7
1
7
,
2
0
1
8
,
d
o
i:
1
0
.
1
4
4
1
9
/i
jet
.
v
7
i3
.
1
2
4
3
6
.
[1
2
]
A
.
A
.
A
b
d
u
l
Ra
z
z
a
q
,
Nu
r'
A
in
i
A
b
d
u
l
Ra
sh
i
d
,
A
.
A
h
m
e
d
A
b
b
o
o
d
,
a
n
d
Z.
Zain
o
l
,
“
T
h
e
Im
p
ro
v
e
d
Hy
b
rid
A
lg
o
rit
h
m
f
o
r
th
e
A
th
e
e
r
a
n
d
Be
rr
y
-
Ra
v
in
d
ra
n
A
lg
o
rit
h
m
s,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
t
e
r
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
8
,
n
o
.
6
,
p
p
.
4
3
2
1
-
4
3
3
3
,
2
0
1
8
,
d
o
i:
1
0
.
1
1
5
9
1
/i
jec
e
.
v
8
i6
.
p
p
4
3
2
1
-
4
3
3
3
.
[1
3
]
A
.
A
.
Ha
sa
n
,
Nu
r'
A
in
i
A
b
d
u
l
Ra
sh
id
,
a
n
d
A
.
A
k
ra
m
A
b
d
u
lraz
z
a
q
,
“
M
u
lt
i
-
p
a
tt
e
rn
stri
n
g
m
a
tc
h
in
g
a
lg
o
ri
th
m
s
c
o
m
p
a
riso
n
f
o
r
in
tr
u
sio
n
d
e
tec
ti
o
n
sy
ste
m
,
”
AIP
Co
n
fer
e
n
c
e
Pro
c
e
e
d
in
g
s
,
v
o
l.
1
6
3
5
,
n
o
.
1
.
2
0
1
4
,
d
o
i:
1
0
.
1
0
6
3
/1
.
4
9
0
3
5
5
8
.
[1
4
]
A
.
A
.
A
b
d
u
lraz
z
a
q
,
N
u
r'
A
in
i
Ab
d
u
l
Ra
sh
id
,
A
.
A
.
Ha
sa
n
,
a
n
d
M
.
A
.
A
b
u
-
Ha
sh
e
m
,
e
t
a
l
.
,
“
Ne
w
S
e
a
rc
h
in
g
T
e
c
h
n
iq
u
e
o
f
H
y
b
rid
Ex
a
c
t
S
tri
n
g
M
a
tch
in
g
a
lg
o
rit
h
m
,
”
.
In
ter
n
a
ti
o
n
a
l
Rev
iew
o
n
Co
m
p
u
ter
s
a
n
d
S
o
f
twa
re
(
I.
RE
.
CO.S
.
)
,
v
o
l
.
11
,
n
o
.
1
0
,
p
p
.
8
8
4
-
8
9
7
,
2
0
1
7
,
d
o
i:
1
0
.
1
5
8
6
6
/
irec
o
s.v
1
1
i1
0
.
1
0
3
2
1
.
[1
5
]
A
.
A
.
A
b
d
u
lraz
z
a
q
,
Nu
r'
A
in
i
A
b
d
u
l
Ra
sh
i
d
,
a
n
d
M
.
A
.
A
b
u
-
H
a
sh
e
m
,
“
A
Ne
w
Eff
ici
e
n
t
Hy
b
rid
Ex
a
c
t
S
tr
in
g
M
a
tch
in
g
A
lg
o
rit
h
m
a
n
d
I
ts
A
p
p
li
c
a
ti
o
n
s,
”
L
if
e
S
c
ien
c
e
J
o
u
r
n
a
l
(
L
if
e
S
c
i
J
)
,
v
o
l
.
1
1
,
n
o
.
1
0
,
p
p
.
474
-
4
8
8
,
2
0
1
4
,
d
o
i:
1
0
.
1
5
8
6
6
/
irec
o
s.v
1
1
i
1
0
.
1
0
3
2
1
.
[1
6
]
A
.
A
l
-
m
a
z
ro
i,
“
A
F
a
st
H
y
b
rid
A
lg
o
rit
h
m
f
o
r
th
e
Ex
a
c
t
S
t
ri
n
g
M
a
tch
i
n
g
P
ro
b
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