COMET (Code Offload by Migrating Execution Transparently), a runtime offloading environment towards augmenting smartphones is proposed in [72] to improve computation speed but it consumes more bandwidth.
This implementation significantly improved the computation speed without degrading solution quality.
With the help of parallel computer systems and Message Passing Interface, the parallel algorithm gives full play to the advantages of parallel computing to significantly improve the computation speed of the matching pursuit decomposition and also has good expandability.
Real-time simulation with advancements in computing technologies can effectively support the PHILS to improve the computation speed of complex target systems converted to electrical and mathematical models.
Furthermore, the graphics processing unit (GPU) is used to improve the computation speed.
Finally, we introduce various approximations in the implementation of KMC to improve the computation speed.
In order to improve the computation speed of matching pursuit decomposition of seismic data, a matching pursuit parallel algorithm is designed in this paper.
Another advantage is that these require implementation of elliptic curves over prime order field which improve the computation speed over composite ones.
Moreover, in order to further improve the computation speed, a binary search method is also applied to find which production segments (with constant production rate) the measured wellbore pressure data points locate at in the deconvolution computation process.
