Running the nvidia hpl benchmarks on x86_64 with nvidia gpus, nvidia grace hopper, and nvidia grace blackwell systems # the nvidia hpl benchmark uses input format as the. Once you’ve found the perfect blas library for your architecture, now you need to create a perfect hpl.dat. Hpl uses the block size nb for the data distribution as well as for the computational granularity.
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Tuning hpl can be a long and difficult process. N, nb, p and q are described in greater detail in the tuning hpl performance with gpus section of this document. 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.
