2 citations · 3 across the 4 of their papers we have counts for
4 papers
Comprehensive Performance Modeling and System Design Insights for Foundation Models
Shashank Subramanian, Ermal Rrapaj, Peter Harrington +6
Generative AI, in particular large transformer models, are increasingly driving HPC system design in science and industry. We analyze performance characteristics of such transforme…
Ookami: An A64FX Computing Resource
A. C. Calder, E. Siegmann, C. Feldman +8
We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fuji…
A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code
Catherine Feldman, Smeet Chheda, Alan C. Calder +4
We present an expanded study of the performance of FLASH when using Linux Kernel Hugepages on Ookami, an HPE Apollo 80 A64FX platform. FLASH is a multi-scale, multi-physics simulat…
On Using Linux Kernel Huge Pages with FLASH, an Astrophysical Simulation Code
Alan C. Calder, Catherine Feldman, Eva Siegmann +4
We present efforts at improving the performance of FLASH, a multi-scale, multi-physics simulation code principally for astrophysical applications, by using huge pages on Ookami, an…