Sentence examples for memory systems with from inspiring English sources

This study constructs and investigates the non-fragile asynchronous H∞ control for uncertain stochastic memory systems with Bernoulli distribution.

Human memory is not a unitary function; it consists of multiple memory systems, with different characteristics and specialisations that are implemented in the brain.

The chapter focuses primarily on the central processing unit (CPU) and memory systems, with some consideration of the software that drives this hardware.

To quantify the robustness of our architecture, we identify a set of six scenes whose texture locality varies over nearly two orders of magnitude and a set of four memory systems with varying bandwidths and latencies.

Two different parallelization approaches have been followed: (1) using traditional distributed memory message-passing programming with MPI, and (2) using the Partitioned Global Address Space (PGAS) programming model, oriented towards hybrid shared/distributed memory systems, with the Unified Parallel C (UPC) language.

Large memory systems with fast storage are likely to be preferred where, for example, large databases are involved, and there will be a cost to putting large volumes of data onto such a system in the first place.

For this, we often measure the capability (latency or bandwidth) of the memory system with micro-benchmarks.

A configurable on-chip memory system with programmable address generation, address interleaving across banks, and buffering enables efficiently exploiting data locality and sustain compute throughput for various access patterns.

All configurations benefit from a memory system with a higher bandwidth.

The simulation results were obtained on a shared memory system with 24 processing cores for input images of different dimensions.

We examine the energy consumption of a NAND Flash memory system with an LDPC code-based soft-decision error correction algorithm.