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A process time is mainly composed of data request time on memory, execution time of instructions, and synchronization time.
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This quantification provides an estimate of the use of memory and execution time necessary to execute the algorithm.
As a consequence, matrix based methods, like for example the Newton Raphson algorithm coupled with a direct inversion of the Jacobian matrix, lead to computational costs too large in terms of both memory and execution time.
Recent fast summation techniques such as the Fast Multipole (FM) Method accelerate the solution of large fracture problems, demanding linear complexity O(N) in memory and execution time with very modest computational resources.
Different design decisions involve different measures of quality requirements (e.g. memory utilisation, execution time, reliability, financial costs and availability).
The approximation technique utilized in SAX makes it a good candidate for real-time implementation on a smartphone as it requires less memory and execution time in comparison to raw time series.
Only then, parallelized T-Coffee run with sixteen cores and the peak memory and execution time were not compared with those of other programs (dashed lines in Figure 1 – C, D, E and Additional file 1 – C, F, H, M, N, O, P and Q).
Kleftogiannis et al 25 compare current memory-efficient techniques for genome assembly with respect to quality, memory consumption, and execution time.
Besides, we analyze the performance of the simulator in terms of memory usage and execution time.
First, the memory overhead and execution time overhead of the monitored program were obtained.
Furthermore, for convolutions of multidimensional data, the segregation of data and work buffers can be exploited to reduce memory usage and execution time significantly.
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