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A true distributed implementation on a cluster of computers running Linux is developed.
It automates the transformation of a program expressed with the high level system design language SystemC, to its implementation on a cluster of multi-GPU.
Suitable sparse data structures and algorithms are designed for efficient implementation on a cluster of PCs called ANUCLUSTER under ANULIB parallel processing environment.
Our implementation on a cluster of multicores allows handling sequences up to a length of 163 k.
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Furthermore, it is demonstrated that a prototype implementation deployed on a cluster of commodity servers can efficiently serve thousands of users while maintaining throughput.
An experimental study of an implementation of the algorithm on a cluster of PC workstations is also undertaken to examine the latency-tolerance of our approach.
The practical implementation of the system is executed on a cluster of servers DL580 G2 Intel (R) Xeon (TM) MP ×64 (4× CPU 2.80 GHz) with video Nvidia Quadro FX 5800 4 GB with 240 GPU.
The analyses have been performed by means of MCNP-4C code running on a cluster of four workstations through the implementation of a parallel virtual machine.
Tests on a cluster of computers and on a shared memory multi-core machine demonstrate the effectiveness of the proposed implementation.
Next he checked on a cluster of armored vehicles.
For the presented codes, both the scalability with an implementation on a professional cluster and the capabilities of the parallelism in the elaborations of basins with a large set of initial conditions have been tested.
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