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Computational storage is an emerging path to accelerate data processing, reduce latency and improve office and data center energy efficiency.
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RISC chips streamline and accelerate data processing by minimizing the number of instructions permanently stored in the microprocessor and by relying more on nonresident instruction (i.e., software programs, or code).
Therefore, the software can overcome the problem of different retention times of target peaks between samples and can properly automatically recognize target peaks in most chromatograms, accelerating data processing compared to conventional software.
A complex way of introducing, changing and educating the human factor under the conditions depends on many parameters; it is reasonable to mention that, for example, computers were widely introduced to research only about 20 years ago, they accelerated data processing by many orders of magnitude.
To keep up with these rapid data streams, accelerating data processing is one of the key problems in a UDSMS (Uncertain Data Stream Management System).
The SmartSSD is a field programmable gate array (FPGA) SSD, that will offer accelerated data processing and the ability to bypass server CPU limits.
With accelerated data-processing and data-transmitting abilities, physician-scientists can capitalize on this information to improve diagnostic and treatment capabilities and gain new insights into who develops a disease and why.
Multiscale representations, windowing and masking are employed to accelerate the data processing.
Because it reduces the number of instructions permanently stored in the microprocessor, RISC architecture streamlines and accelerates data processing.
When the architecture of DSP is fixed, an effective way to accelerate processing speed is to use or develop new processing methods such as parallel and distributed algorithms.
With the increasing requirement of computation and data amount in embedded multimedia applications, stream architectures are exploited to accelerate the multimedia processing.
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