Sentence examples for performance on a multicore from inspiring English sources
The only way to increase performance on a multicore is by exploiting thread-level parallelism.
PAR [50] was used to accelerate some experiments by parallelizing their execution on a multicore computer.
The objective of this paper is to introduce the factorial design methodology applied to the experimental performance evaluation of PEAs executed on a multicore platform.
The main contributions of this paper are summarized as follows: (1) the measurement of factor effects on the performance of a PEA by varying two levels of each factor, (2) a method to guarantee the correct estimation of speedup, and (3) a case study of the influence of migration related to parameters on the performance of a PEA executed on a multicore processor.
We present an auto-tuning approach to optimize application performance on emerging multicore architectures.
Moreover, sweeping methods are almost directly applicable to anisotropic problems [26], and can be adapted to parallel architectures with good performance on multicore systems with a domain-division approach [8, 27].
The important thing is that by using the proposed flow, in only one implementation step on FPGA, a suitable platform for having better performance on multicore has been obtained.
As a case study, we evaluated the influence of migration related to parameters on the performance of a parallel evolutionary algorithm solving two benchmark problems executed on a multicore processor.
As a case study, we evaluate the influence of migration related to parameters on the performance of the parallel evolutionary algorithm solving two benchmark problems executed on a multicore processor.
The important thing is that, by using the proposed flow, in only one implementation step on FPGA, a suitable platform able to provide better performance on multicore has been obtained.
The simulation-analysis workflow is validated for performance and effectiveness of the online analysis in capturing biological systems behavior on a multicore platform and representative proof-of-concept biological systems.
