Sentence examples for versus computing from inspiring English sources

Exact(1)

Programming frameworks supporting codes portable across different high performance architectures have recently appeared, but one must carefully assess the relative costs of portability versus computing efficiency, and find a reasonable tradeoff point.

Similar(59)

Workflow assessment of digital versus computed radiography and screen-film in the outpatient environment.

The agreement of actual versus computed ET-values for three widely grown crops in Greece (cotton, wheat and maize) may be considered as satisfactory.

This paper summarizes measured versus computed results from a field test with heavy live load conducted on a multi-span, horizontally curved composite steel I-girder bridge in Duluth, Minnesota.

Smith-Bindman R, Aubin C, Bailitz J, et al. Ultrasonography versus computed tomography for suspected nephrolithiasis.

This study was done to assess the clinical-diagnostic impact and cost of contrast-enhanced ultrasound (CEUS) versus computed tomography (CT) and magnetic resonance (MR) imaging in the characterisation of focal liver lesions.

We thus studied the radiological brain images available from 62 HIV-positive patients with cryptococcocal meningoencephalitis to analyse the brain lesions associated with cryptococcosis in relationship with disease severity, and the respective diagnostic contribution of magnetic resonance (MR) versus computed tomography (CT).

The reason for the discrepancy may involve the species being studied (rat versus rabbit), or the tools used to measure the injury (in vivo microscopy versus computed tomography scan).

A table of grid size versus compute time for both the FPGA solver and the HPS solver.

Our results support the notion that manual cell counting is time consuming (47 images; manual counting time = 2.4 hours versus automated computing time = 14.5 seconds) and subject to operator bias (hence our experimenter was blinded).

To afford flexibility to the user, the NEO software provides several options for anchoring the traits to genetic markers (manual versus automatic), computing local edge scores (LEO.NB.CPA, LEO.OCA), and diagnosing poor model fit (RMSEA, CFI score, etc).

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