Sentence examples for memory occupancy from inspiring English sources
Improvements can be done in two directions: better algorithms that reduce the number of arithmetic operations required to compute a solution, and more efficient architectures in terms of speed, power consumption, memory occupancy and cost.
By performing such new procedures in spatial reconstructions and adopting a third order TVD Runge Kutta time discretization method for solving the ordinary differential equation (ODE), the new scheme's memory occupancy is decreased and the computing efficiency is increased.
Experimental evaluation of image processing algorithms of ' VISTagainstnst baseline algorithms with respect to execution time and memory shows significant reduction in image data and memory occupancy.
Experimental evaluation of our image processing algorithms against baseline algorithms with respect to execution time and memory shows significant reduction in image data and memory occupancy.
The computational time consuming and maximum memory occupancy during each assembly procedure are recorded with a perl and python script.
Also, the reduction of memory occupancy is very clear in Figure 9(b).
The information about running times, maximum memory occupancies for different assemblers applied to different datasets is illustrated in Figures 2 and 3.
In addition, the performance analysis of the GPU implementation of CriticalFinder in terms of time consumption and memory space occupancy was carried out.
Specifically, for today's image/video applications and systems, power consumption, memory space occupancy, area cost, and reliability are as important as performance.
Considering the computational time, maximum random access memory (RAM) occupancy, assembly accuracy and integrity, our study indicate that string-based assemblers, overlap-layout-consensus (OLC) assemblers are well-suited for very short reads and longer reads of small genomes respectively.
Although this implementation significantly outperforms its sequential counterpart, we are working on new optimizations to improve the speedup dealing with GPU programming issues such as coalesce memory accesses and optimal occupancy.
