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Titlebook: Laser Interaction with Biological Material; Mathematical Modelin Kirill Kulikov Book 20141st edition Springer International Publishing Swit

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Kirill Kulikove per successful CAS operation as the number of threads increases, whereas the older LL-SC approach shows the expected linear scaling. For high thread counts, this difference translates into a speedup of more than 20. when using LL-SC instructions. We characterise the conditions under which the LL-S
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Kirill Kulikovfurther deploy low-precision arithmetic operations. We show that moving from single-precision 32-bit floating-point arithmetic (FP32) to half-precision 16-bit representation (FP16) does not affect the accuracy performance while translating into an additional 1.7. speedup. In addition, exploiting 8-b
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Kirill Kulikove provide theoretical worst case bound on the number of erroneous queries (true negative search, duplicate inserts) due to relaxed eventual consistency. We customize our design to implement both static and dynamic hash tables on state-of-the-art FPGA devices. Our implementations are scalable to 16 P
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