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Two concepts of parallel methods to solve stiff ODEs systems are investigated in the chapter.
The proposed parallel methods have been implemented using Compute Unified Device Architecture (CUDA) developed by NVIDIA.
While effective sequential methods for MCE are known, scalable parallel methods for MCE are still lacking.
For this reason, parallel methods for detecting and measuring alternative splicing are necessary.
In this work, we present a multilevel, hybrid parallel algorithm that combines the desirable traits of two distinct parallel methods.
Our method can be applied to autonomous driving systems, robots, etc. Considering the computational complexity, we may refer to some parallel methods [34, 35].
Similar(7)
Since 3D PMM is a parallel method, the resulting algorithm has two levels of parallelism.
The data parallel method is employed to exploit the massive fine-grained parallelism.
Loosli is teaching what he calls "parallel method".
The proposed parallel method consists of four steps.
We introduce a new parallel method for the cost function calculation.
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