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While we adapt common optimization techniques, such as optimal memory traffic, register blocking, and concurrency control, we also show that a different mindset and techniques are needed when matrices are tiny, and in particular, sub-vector/warp in size.
Therefore, the common optimization techniques are explained in detail next.
It has also been used for software quality to address common optimization issues.
Since standard MKL is a convex optimization problem it can be solved by common optimization methods.
Particle swarm optimization (Kennedy and Eberhart 1995) is a common optimization algorithm used in various problems.
The approximated problem can be solved efficiently using common optimization routines.
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In the following subsections, we mention the most common optimizations that can easily be modeled using (11).
It seems obvious that the identified and isolated 20,000 MMP-cliffs might cluster into common underlying optimization programs, since the majority of medicinal chemistry optimization campaigns cover a number of subsequent iterative feedback cycles with many structurally related compounds belonging to consecutive design generations.
As a case study, we have chosen condition reordering, a common code optimization that is typically used to enable other code optimizations.
These are boundary solutions, and they are common in optimization.
First, a common SVR optimization survey (HGP technique) is used to obtain the SVR parameters.
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