Sentence examples for key optimizations from inspiring English sources

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And Galligan says that it has some key optimizations that make it significantly faster than other available database solutions.

In this paper we redesign, implement and fine-tune this algorithm, introducing key optimizations and changes that take advantage of specific Tile64 characteristics: RISC architecture, local tile's cache, length of memory word, shared memory usage, RAM file system, tile's intercommunication and job selection from a pool.

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The annealing temperature is taken as the key optimization parameters, and the optimal annealing temperature of 680 °C was obtained.

Our proposed key optimization techniques are three-fold: memory access pattern improvement, data transfer elimination and kernel launch overhead minimization.

As another example, the authors in [5] give their key optimization considerations such as spatial multiplexing for MAC layer design in ad hoc wireless networks.

The key optimization objective is to enhance product CH4 recovery while achieving a closed loop product CH4 purity of 75% for separating 68%N2/32%CH4 feed under external disturbances.

Moreover, several key optimization strategies of computation and storage based on the compute unified device architecture (CUDA) were adopted to accelerate the 3D stationary-phase QPSTM algorithm.

Data replication is another key optimization technique for reducing access latency and managing large data by storing data in a wisely manner.

Observing Figure 3, how to choose R and estimate the loading matrices from W ˜ and A is the key optimization of the multi-linear subspace regression for individual HRTF customization.

Compared with the initial GPU code, the implementation of the key optimization steps, including thread optimization, shared memory optimization, register optimization and special function units (SFU), greatly improved the efficiency.

This chapter introduces and describes several key optimization methods including univariate, simulated annealing, genetic algorithms and some recent approaches to improve secondary parameters such as yield, in addition to the optimization of specific design parameters.

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