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The results show that significant performance improvements are gained from GPU parallelization of the DLSM code (the maximum speed up achieved was 23×).
For the tests reported in this paper the maximum speed up achieved over a diffusive storage cell model was 1120×, although the actual value seen will depend on model resolution and water surface gradient.
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The speed-up achieved with fast_math also supports this explanation.
Taking a simple approach in which the MHD variables are stored exclusively in the global memory of the GTX 480 and accessed in a cache-friendly manner (without further optimizing memory access by, for example, staging data in the GPUʼs faster shared memory), we achieved a maximum speed-up of ≈126 for a 10242 grid relative to the sequential C code running on a single Intel Nehalem (2.8GHz) core.
Results indicate the proposed scalar/vector accelerators achieve a maximum speed-up of 4.27 and 4.62 for the G729.A and G723.1 encoders respectively for 512-bit wide SIMD configurations.
For the dual-core embedded system, a maximum speed-up is as large as 1.45.
The maximum speed-up rate was 14.88.
Mobile sinks could attain a maximum speed up to 14 m/s with 5 s pause time.
A speedup value of 3.95 is achieved using a multicore system with four threads, which is very close to the maximum speed up of 4 for a four-core system.
It is designed for operation at a maximum speed of 250 km/h, while reserves a maximum speed up to 300 km/h in the future.
After 260 s, the maximum speed was achieved.
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