...

j = c.batch(@hpccLinpack, 1, {1024}, 'Pool', 1)

Data size: 0.007812 GB
Performance: 1.576476 GFlops

Repeat on one full node 

j = c.batch(@hpccLinpack, 1, {1024}, 'Pool', 35)

Data size: 0.007812 GB
Performance: 0.311111 GFlops

Increase the size of the matrix, 

 j = c.batch(@hpccLinpack, 1, {2048}, 'Pool', 35)

Data size: 0.031250 GB
Performance: 2.466961 GFlops

j = c.batch(@hpccLinpack, 1, {4096}, 'Pool', 35)

Data size: 0.125000 GB
Performance: 47.951919 GFlops

Use two full nodes 

Data size: 0.125000 GB
Performance: 14.709730 GFlops

and double matrix size 

j = c.batch(@hpccLinpack, 1, {8192}, 'Pool', 71)

Data size: 0.500000 GB
Performance: 86.003520 GFlopsIncrease the number of nodes, and so on....

MdcsDataLocation

Please take into account that the info and the metadatas on your jobs are stored in your $HOME directory under: 

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