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Designing Scientific Applications on GPUs
book

Designing Scientific Applications on GPUs

by Raphael Couturier
November 2013
Intermediate to advanced content levelIntermediate to advanced
498 pages
17h 6m
English
Chapman and Hall/CRC
Content preview from Designing Scientific Applications on GPUs
346 Designing Scientific Applications on GPUs
running at 2.4GHz. It provides a RAM memory of 12GB with a memory band-
width of 25.6GB/s and it is equipped with two NVIDIA Tesla C1060 GPUs.
A Tesla GPU contains in total 240 cores running at 1.3GHz. It provides 4GB
of global memory with a memory bandwidth of 102GB/s, accessible by all its
cores and also by the CPU through the PCI-Express 16x Gen 2.0 interface
with a throughput of 8GB/s. Hence, the memory copy operations between the
GPU and the CPU are about 12 times slower than those of the Tesla GPU
memory. We have performed our simulations on a cluster of 24 CPU cores and
on a cluster of 12 GPUs. Figure 13.4 describes the components of the GPU
cluster of tests.
Linux cluster version 2.6.39 OS is installed ...
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Publisher Resources

ISBN: 9781466571648