Hpl uses the block size nb for the data distribution as well as for the computational granularity. N, nb, p and q are described in greater detail in the tuning hpl performance with gpus section of this document. Tuning hpl can be a long and difficult process.
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This file should reside in the same directory as the executable.
While traditional hpc focused on.
A comprehensive benchmarking suite for nvidia gpus using ngc containers. How do i tune my hpl.dat file? From a data distribution point of view, the smallest nb, the better the load balance. After having built the executable hpl/bin/<arch>/xhpl, one may want to modify the input data file hpl.dat.
Fei fei (shfeifei@cn.ibm.com), yuanhui xu (shxuyh@cn.ibm.com) target audience: Please review there for more complete description.
