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Therefore, in this paper, we propose, design and implement a high performance FPGA-based data stream mining system to perform real-time radar signal sorting on continuous data stream.
It is however a challenging task to implement a high performance collaborative surgical simulation system because of the difficulty in maintaining state consistency with minimum network latencies, especially when sophisticated deformable models and haptics are involved.
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We have developed and implemented a high performance grid-based system to perform exhaustive full genome comparisons with CSTminer algorithm to identify and discriminate between conserved coding and noncoding sequences.
In this work, we implement a high-performance version of algorithm described in [9], aiming at improving an existing reconstruction (x_0) by removing the cupping effect.
With the advent of high density FPGAs it has become feasible to implement a high-performance Forth core in an FPGA.
Finally, these equations have been implemented in a high performance computing tool called InDiCa3D.
The approach has been implemented in a high performance and scalable system – the architecture of which is discussed – that allows multiple concurrent scenarios to be simulated in timeframes suitable for both planning and response use cases.
The following optimization steps have been implemented to achieve a high performance implementation: Figure 3 FPGA implementation overview.
We discuss a number of practical issues that must be addressed in order to implement the algorithm efficiently on a high performance computer.
The theoretical and experimental results indicate that the implemented fuzzy logic controller has a high performance for real-time control over a wide range of operating conditions.
The recent strategy from the Heck group for performing ETD in a DC gradient-only multipole affords an opportunity to implement ETD and UVPD together in a high performance Orbitrap mass spectrometer, as described herein.
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