A Parallel-Computing Algorithm for High-Energy Physics Particle Tracking and Decoding Using GPU Architectures
IEEE Access,
Год журнала:
2019,
Номер
7, С. 91612 - 91626
Опубликована: Янв. 1, 2019
Real-time
data
processing
is
one
of
the
central
processes
particle
physics
experiments
which
require
large
computing
resources.
The
LHCb
(Large
Hadron
Collider
beauty)
experiment
will
be
upgraded
to
cope
with
a
bunch
collision
rate
30
million
times
per
second,
producing
$10^9$
particles/s.
40
Tbits/s
need
processed
in
real-time
make
filtering
decisions
store
data.
This
poses
challenge
that
requires
exploration
modern
hardware
and
software
solutions.
We
present
Compass,
tracking
algorithm
parallel
raw
input
decoding
optimised
for
GPUs.
It
designed
highly
architectures,
data-oriented
fast
localised
access.
Our
configurable,
we
explore
trade-off
performance
various
configurations.
A
CPU
implementation
delivers
same
as
our
GPU
presented.
discuss
achieved
validate
it
Monte
Carlo
simulated
show
analysis
comparing
consumer
server
grade
GPUs,
CPU.
feasibility
using
full
high-throughput
trajectories
reconstruction,
where
improves
throughput
up
7.4$\times$
compared
baseline.
Язык: Английский
Yeni Nesil Dizileme Analizinde Hizalama Adımının GPU Başarımı
Hilal Akarkamçı,
Gülistan Özdemir Özdoğan
Gazi Journal of Engineering Sciences,
Год журнала:
2024,
Номер
10(2), С. 432 - 442
Опубликована: Авг. 31, 2024
As
the
amount
of
biological
data
has
increased,
it
become
difficult
to
process
effectively.This
brought
discipline
bioinformatics
forefront
and
increased
need
for
development
relevant
tools.A
sensitive
analysis
is
required
make
sense
this
large
produced
by
next
generation
sequencing
technique.The
most
costly
step
in
alignment
step.One
effective
techniques
reduce
cost
use
a
graphics
processing
unit.In
study,
performances
CPU-based
Burrows-Wheeler
aligner
GPU
programming
version
BarraCUDA
tools
were
compared
terms
rates
computation
times
different
datasets.In
total
runtime
these
was
also
examined,
as
well
sub-steps
when
using
one
or
more
GPUs.While
there
similarity
used
each
set,
been
observed
that
significant
time
benefit
sizes
through
supported
BarraCUDA.As
result,
with
step,
approximately
5
acceleration
achieved
single-end
9
paired-end
data.
Язык: Английский
Linear Regression Analysis for Time-Point Datasets
Опубликована: Ноя. 10, 2020
In
this
paper,
we
present
a
relapse
based
demonstrating
way
to
deal
with
investigate
various
arrangement
MTC
information.
A
commonplace
use
of
displaying
approach
incorporates
three
stages:
first,
define
model
that
approximates
the
connection
between
quality
articulation
and
trial
factors,
boundaries
consolidated
address
exploration
premium;
second,
utilize
least-squares
assessing
condition
methods
gauge
their
relating
standard
blunders;
third,
register
test
insights,
P-qualities
NFD
as
proportions
factual
criticalness.
The
benefits
methodology
are
per
following.
To
begin
with,
it
tends
interest
in
particular,
precise
way,
maximally
uses
all
information
other
important
data.
Second,
represents
both
orderly
irregular
varieties
related
information,
consequences
such
examination
give
not
just
explicit
data
applicable
objective,
yet
additionally
its
dependability,
helping
agents
settle
on
better
choices
for
subsequent
investigations.
Third,
is
truly
adaptable,
can
undoubtedly
be
stretched
out
different
sorts
considers
or
microarray
explores
by
detailing
models
dependent
plan
Язык: Английский
