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1 Java application that runs on standard CPUs (Central Processing Units).
2  the time required for this computation on a central processing unit.
3 raphics processing unit and 5.6 seconds with central processing unit.
4  on test sets is close to the result using a central processing unit.
5 ic detail only required about one hour on 48 Central Processing Units.
6 omologs within 4 h on a Linux computer of 20 central processing units.
7 essors, such as graphics processing units or central processing units.
8 n heat-averse electronic components, such as central processing units.
9 ree orders of magnitude lower than that of a central processing unit and 70 times lower than that of
10 tecture for a classical computer comprises a central processing unit and a memory holding instruction
11 iquid Engine dynamically generates optimized central processing unit and graphics processing unit cod
12 ion and offering substantial improvements in Central Processing Unit and memory efficiency.
13                    By employing tens of fast central processing units and an advanced phase-space sam
14 d electromagnetic absorption; heat sinks for central processing units and sound-absorbing housings fo
15                                            A central processing unit-based model inference on the MR
16 ce, the computational capabilities of modern Central Processing Units can be easily overtaken, possib
17 compared with other methods, requires modest central processing unit consumption, and is robust with
18  implemented to efficiently utilize multiple central processing unit cores as demonstrated in several
19 e rise of multi-core processors, both in the central processing unit (CPU) and Graphics processing un
20              The device utilizes a simulated central processing unit (CPU) as the heat source.
21 ost of the existing compressors are based on central processing unit (CPU) platform, which might be i
22 anual or semi-manual techniques with desktop central processing unit (CPU) runtimes faster than acqui
23 ts packing interactions function as a simple central processing unit (CPU) that senses multiple input
24 dditionally, DeepMod2 can run efficiently on central processing unit (CPU) through model pruning and
25 uilibration is almost three times as fast in central processing unit (CPU) time compared with a purel
26 an dynamics gives a sevenfold improvement in central processing unit (CPU) time with the choice of a
27 oftware that controls the temperature of the central processing unit (CPU), allowing for highly effic
28 he sequential implementation of the NRM on a central processing unit (CPU).
29 cient use of core and threads on a multicore central processing unit (CPU).
30 entional implementations of biocomputers use central processing units (CPUs) assembled from multiple
31 nsors on the same chip to create "biological central processing units (CPUs)" with multiple BSC eleme
32                         Mitochondria are the central processing units for cellular energy metabolism
33              Using an approximate (classical central processing unit/graphical processing unit) state
34            SCENA is equipped with CPU + GPU (Central Processing Units + Graphics Processing Units) he
35 or methane capture, saving more than 500,000 central processing unit hours from the original protocol
36 ng long-read assemblers require thousands of central processing unit hours to assemble a human genome
37 field simulations and a total of 0.8 million central processing unit hours.
38 e histidine autokinase CheA functions as the central processing unit in the Escherichia coli chemotax
39 alled, and refrigerators or freezers and the central-processing unit of each computer were placed out
40 tral processing unit) versus 418.46 seconds (central processing unit) (P < .001); and LCE of 7.21 mm
41                     We demonstrate a quantum central processing unit that exchanges data with a quant
42 tisample profiling, sylph took >10-fold less central processing unit time compared to Kraken2 and use
43 ves a superior performance on memory use and central processing unit time than most current assembler
44 ality and requires lower memory use and less central processing unit time, especially for large genom
45 tructed a parallel computer cluster with 256 central processing units to analyse molecular data on a
46 ing substantial speedup over the traditional central processing unit version.
47 (graphics processing unit) and 2.27 seconds (central processing unit) versus 418.46 seconds (central
48                    (1)), a modest 4-bit CPU (central processing unit) with 2,300 transistors fabricat