Sentence examples for software partitioning from inspiring English sources

As a result, support of software partitioning, recovery, and restructuring is often necessary.

Numerical taxonomy is mathematically simple and yet it is a useful mechanism for component clustering and software partitioning.

Given an application, the software partitioning problem then becomes an optimization over energy cost given deadline constraints, which can be formulate as an integer linear programming (ILP) problem.

We apply the resource modeling and software partitioning techniques to a multimodule embedded sensing device, the mPlatform, and present a case study of configuring the platform for a real-time sound source localization application on a stack of MSP430 and ARM7 processor based sensing and processing boards.

We have applied the technique to: (1) software partitioning at the software architecture design phase; (2) grouping of components based on the source code to recover the software architecture in the reverse engineering process; (3) restructuring of a software to support evolution in the maintenance stage; and (4) improving cohesion and reducing coupling for source code.

Virtualization is defined as a framework or methodology of dividing the resources of computer hardware into multiple execution environments, by applying one or more concepts or technologies such as hardware and software partitioning, time-sharing, partial or complete machine simulation, emulation, quality of service, and many others.

Software partitions are executed on the ARM7 processor and hardware partitions are executed on the ModelSim simulator.

During the de novo assembly by Trinity, the software partitions the input data into many individual de Bruijn graphs, each one representing a single "putative" locus or gene, and then process to split the alternatively spliced forms of that gene [ 193].

The software PARTITION [ 4] was not applied in this study because Latch et al. [ 10] have shown that its performance is less good (e.g. this method identifies correctly only the number of subpopulations at levels F ST ≥ 0.09, while, STRUCTURE and BAPS determine the population substructure extremely well at F ST = 0.02 - 0.03).

This chapter describes the way various aspects of the hardware impact the actual performance of a computer system and how hardware-software partitioning decisions affect performance.

The hardware-software partitioning is simplified so that the host interface can focus on the data communication as well as flow control for video tasks, while hardware accelerators deal with local memory accesses and video codec functions.