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The speed of memory capacity expansion of the computer system has not kept up with the speed of the increase of the memory requirement of large memory applications. Also, big memory system has been too expensive for many researchers and students. Therefore, approaches to utilize remote memory has been considered as a cost effective way to run large memory applications in the cluster environment where...
Big memory applications such as in-memory database, denovo assembly application in the human genome sequencing area, big data analytics, and large scale scientific calculation are increasing explosively. However, the big memory system has been too expensive for many researchers and students. Therefore, methods to harvest remotely distributed memory has been considered as a cost effective way to run...
The speed of memory capacity expansion of the computer system has not kept up with the speed of the increase of the memory requirement of large memory applications. Also, big memory system has been too expensive for many researchers and students. Therefore, approaches to utilize remote memory has been considered as a cost effective way to run large memory applications in the cluster environment where...
The increase of memory capacity has not kept up with the continuous increase of large memory applications. Therefore, approaches to utilize remote memory like a local memory has been considered as a cost effective way to run large memory application in the cluster environment where computing nodes are connected via high speed network. For the users of HPC cluster to run large memory application without...
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