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It is then optimized for parallel implementations on GPU and FPGA.
We observe that the existing algorithms were optimized for centralized implementation, but not for parallel implementation.
The proposed adaptation algorithm has been optimized for efficient hardware implementation.
This algorithm is already highly optimized for implementation in software, as described into greater detail in [3].
Our implementation, optimized for its off-line use, allows obtaining results in reasonable time, also when it is applied on huge amounts of genomic and proteomic data.
Note that the algorithm implementation was not optimized for speed, but does lend itself to significant parallelization in future implementations.
Unfortunately, custom hardware isn't enough, GoPro and Google are in the business of capturing life experiences, and their implementations are optimized for that.
Sublimation was responsible for sizable isotopic fractionation factors in the range 0.969 1.123 for temperatures lying between −105 °C and −30 °C.
This observation implies that symmetry breaking is important for sizable QCSE.
However the current implementation is highly optimized for L2, and other distance measures would require substantial heuristics to obtain comparable computational performance.
The current implementation (C++) is not optimized for real-time processing.
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