Due to memory bandwidth limitations, chip multiprocessors (CMPs) adopting the convenient shared memory model for their main memory architecture scale poorly.
In this paper, we propose a use-phase memory model for residential buildings, whose aim is to store energy consumption and usage patterns.
First, we devise a memory model for unstructured mesh data for efficient use of memory on parallel shared memory architectures, with the purpose of lowering the synchronization overhead between threads while avoiding race conditions.
Tempered processes are stationary time series that have a semi-long memory property in the sense that the autocovariogram of the process resembles that of a long memory model for moderate lags but eventually diminishes exponentially fast according to the presence of a decay factor governed by a tempering parameter.
For example, Gries and Gries (2002) proposed the visualization method of memory model for teaching Java and object orientation to novice learners.
The amount of pulses within a given time period would be summed, stored within working memory, and finally compared with a reference long-term memory model (for an overview, see [ 34, 37, 38]).
The findings provided support to a multi-stage working memory model of writing for explaining the possible underlying mechanism of writing to dictation and handwriting difficulties.
Many studies have noted an increase in RNA synthesis, including rDNA gene expression, in correlation with neural plasticity and learning and memory models (See for example,).
memory polynomial, envelope memory polynomial and hybrid envelope memory polynomial models for high order of nonlinearity (K = 7) and large memory length (Q = 3).
Since distributed memory approach is required to address the latter, we combine MPI programming paradigm with existing OpenMP codes, thus creating fully flexible parallelism within a combined distributed/shared memory model, suitable for different modern computer architectures.
