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The proposed cloth simulation using GPU parallel computing provided around 10 34 times faster than CPU only and utilized the shared memory to communicate the cloth information between CPU and GPU.
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Also, a competitive and cooperative (CC) operator is designed for a particle to utilize the shared information in a proper and efficient way.
The primary system can temporarily lease its spectrum usage rights of the shared channels to secondary system through the spectrum broker, and get payoff from secondary system as SUs opportunistically utilize the shared channels.
Our method outperforms CUDASW++ 2.0 for all of the query sequences because ours can fully utilize the shared memory without the need of swapping data between shared memory and global memory.
On the other hand, the hybrid-MPI computing utilizes the shared memory among CPU cores in the CPU, and the MPI data communications were performed only for inter-CPU data exchange.
After meiosis, it is established that the connection ensures the formation of equivalent gametes from haploid spermatids, utilizing the shared cytoplasmic gene products, including those from X and Y chromosomes (Braun et al., 1989).
The results showed that the GPU calculation for 5763 computational grids achieved the performance of 170 GFLOPS by utilizing the shared memory as a software-managed cache.
Monday's crash occurred three days after a Montgomery County man was killed while riding an electric scooter at Dupont Circle, the first time someone utilizing the shared scooter service has been killed in the area.
The proposed method utilizes the shared memory which can reduce the transfer latency of simulation data between CPU and GPU.
For example, occurrence of disasters like cyclones and tsunamis can be predicted (Groeve et al. 2010), and if the data are analysed, shared and utilized, the effects of such natural disasters can be reduced or mitigated despite their sudden onset.
With a long tradition of research leadership in genetics and genomics, Cornell is a nationally recognized institution for implementing and utilizing the latest sequencing technologies as shared resources.
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