Sentence examples for primary memory for from inspiring English sources

In this architecture, SDM, as the primary memory for the agent, provides associations with incoming percepts.

Invented in 1952, magnetic core memory was the primary memory for all computers until replaced by solid state, integrated circuits in the 1970's.

This idle time we will term "multiprogramming idle," to distinguish it from "true idle" time which occurs when, despite space in primary memory for another program, there is simply no customer waiting for the system's services.

It's not that the music didn't matter, but it wasn't the main reason why Woodstock made history, or even the primary memory for most of the festivalgoers.

With secondary memory-based computation, the graph is stored on the disk of a single machine and only limited portions of the graph are loaded in primary memory for computation.

Recalling stored information is the other primary memory problem for people with HD.

In James' (1890) classic description of memory, primary memory was one's memory for the immediate present -- for what one has been paying attention to, while one is paying attention to it.

Our results show that both graph DB technologies (i.e. Neo4j) and secondary memory based systems for graph processing (i.e. GraphChi) can be successfully applied to the analysis of large multi-species networks, even if the latter seems to be less sensitive to the amount of available primary memory, and more efficient for the implementation of network-based algorithms for AFP.

"Primary memory" was his term for what we now call short-term or working memory.

In random-access media (such as primary memory), the time required for accessing a given piece of data is independent of its location, while in serial-access media the access time depends on the data's location and the position of the read-write head.

The use of smart strategies for caching the portions of graph needed for computation [ 19], the minimization of the number of accesses to secondary memory [ 20], and the usage of compressed data structures for maintaining the graph in primary memory [ 21] are the main challenges for making the management of large graph networks in off-the-shelf machines comparable to distributed approaches.