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- W1924265514 abstract "Development of computer science techniques has significantly enhanced computational electromagnetic methods in recent years. The multi-core CPU computers and multiple CPU work stations are popular today for scientific research and engineering computing. How to achieve the best performance on the existing hardware platforms, however, is a major challenge. In addition to the multi-core computers and multiple CPU workstations, distributed computing has become a primary trend due to the low cost of the hardware and the high performance of network systems. In this book we introduce a general hardware acceleration technique that can significantly speed up FDTD simulations and their applications to engineering problems without requiring any additional hardware devices." @default.
- W1924265514 created "2016-06-24" @default.
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- W1924265514 date "2013-09-23" @default.
- W1924265514 modified "2023-09-23" @default.
- W1924265514 title "VALU, AVX and GPU Acceleration Techniques for Parallel FDTD Methods" @default.
- W1924265514 doi "https://doi.org/10.1049/sbpc502e" @default.
- W1924265514 hasPublicationYear "2013" @default.
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