Sentence examples for software benchmarking from inspiring English sources

Starting from some raw files of this dataset, we also provide here some processed data obtained through various bioinformatics tools (including Max Quant Skyline, MFPaQ, IRMa-hEIDI and Scaffold) in different workflows, to exemplify the use of such data in the context of software benchmarking, as discussed in details in the accompanying manuscript [1].

Simulation of NGS data, followed by software benchmarking, presents an alternative approach.

JDB conceived of the POD method, conceived of and implemented the triPOD software program, performed software testing, benchmarking, and data analysis, and drafted the manuscript.

We have shown with multiple cheminformatics and mass spectrometry software benchmarks that the computational penalty of using virtual machines is very low and usually around 5%to10%0%.

It consists of a chain of data and compute intensive tasks that can be treated as good examples of software benchmarks for modern parallel hardware architectures.

Consequently, software benchmarks and performance testing are still the best techniques to compare the effciency of emerging parallel architectures with the built-in support for parallelism at different levels.

The paper provides results for software benchmarks partitioned using the method and formal implementations of previous alternatives to demonstrate both the practical tractability of the linear programming approach and the increase in program acceleration potential deliverable.

In this paper we provide formal assignment results for software benchmarks partitioned using the WOA and previous execution paradigms for distributed heterogeneous architectures along with bounds and complexity information to demonstrate the robust performance improvements possible with the WOA.

As an experiment, we utilized a mobile application that runs software benchmarks coded in Java and C. We exercised the benchmarks in different execution scopes within the handheld target and a remote server counterpart, measuring the amount of energy required to complete each job.

MSAM developers have tended to concentrate on improving their software benchmark performance on structure-based MSAs (Blackshields et al. 2006), which capture functional or structural similarity between amino acids in proteins, but may or may not accurately reflect the sitewise homologies required for evolutionary studies.

Prior to the calculation of the MolDock scores of the tested compounds, the MVD software was benchmarked docking ribavirin [11].