Sentence examples for multiple threads to from inspiring English sources

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This paper proposes a new concurrent data structure, called parallel hash table, for synchronizing the access of multiple threads to resources stored in a shared buffer.

Simultaneous multithreading (SMT) is an architectural technique that improves resource utilization by allowing instructions from multiple threads to coexist in a processor and share resources.

To simulate microstructure evolution process during actual casting solidification more effectively, a high performance computing method based on CUDA + GPU architecture is explored in this paper, and larger-scale computation is implemented by the concurrent execution of multiple threads to improve computational efficiency.

Thus, the authors propose a system that allows multiple threads to share processor cores concurrently while maintaining isolation and fair resource sharing.

The processing time could be further reduced by executing a pipe fragment within sdfMultiplexer that can span multiple threads to parallelize the execution.

When using multiple threads to implement multi-view video coding, it was found that MV-HEVC benefrom from inter-view predictions but it is technically difficult to implement multi-view video coding.

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OLego is implemented in C++ with full support of multiple threading, to allow for fast processing of large-scale data.

Keep in mind that only data shared by multiple threads needs to be synchronized.

The basin is divided into sub-basins, and subsequently the different sub-basins operate on multiple threads concurrently to calculate flow directions.

To account for threading when assessing computational efficiency, we employed all the aligners to perform aligning process in single-thread mode without any competition and we also were careful about some aligners supported multiple threads function to accelerate computation speed; thus these aligners were evaluated and compared in three-thread mode without any competition.

It needs to get enough applications running on multiple threads and cores to be able to really make a dent in the enterprise in a way that provides a performance boost that virtualization cannot.

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