Sentence examples for data processing compared to from inspiring English sources
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.
On the other hand, the HPC clusters can handle more data compared to GPUs but are not suitable for real-time processing compared to GPUs.
Nevertheless, we can show that the property of the neighboring similarity is beneficial for efficient data processing compared with conventional methods (Section 3).
In an American evaluation of the use of electronic health records in emergency medical services, electronic data processing was compared to manual data processing.
The newly developed data processing algorithms induce a performance improvement of approximately 137 for the entire data processing sequence compared to the previous universally applicable single core CPU based data processing tool.
However, the provinces favoured the services of HMRI's centralized data processing system (compared to the Bureau's edits for comparability), which led to its success [ 14].
While extremely useful for many types of projects and collaborations, these solutions inherently result in a loss of data processing flexibility compared to locally installed resources and may be unsuitable for projects dealing with sensitive data.
The Corelight Sensor also offers paying customers a "comprehensive" API; enterprise integrations for Splunk, Amazon S3 and Kafka; performance optimizations yielding "3-4x higher data processing throughput compared to standard servers"; a "high performance" FPGA-based network interface card; optimized file extraction and log filtering.
Workstation microprocessors typically offer 32-bit addressing (indicative of data-processing speed), compared to the exponentially slower 16-bit systems found in most PCs.
Utilizing the GPU to perform massive parallel data processing, not only dramatically enhances the data throughput when compared to processing using only the CPU, but also concurrently frees up CPU resources.
As a result, our system achieves significant improvement in data processing efficiency as compared to legacy solutions.
