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Previous studies have revealed that paravirtualization imposes minimal performance overhead on High Performance Computing (HPC) workloads, while exposing numerous benefits for this field. In this paper, the authors are investigating the memory hierarchy characteristics of paravirtualized systems and their impact on automatically-tuned software systems. They are presenting an accurate characterization of memory attributes using hardware counters and user-process accounting. For that, they examine the proficiency of ATLAS, a quintessential example of an autotuning software system, in tuning the BLAS library routines for paravirtualized systems. In addition, they examine the effects of paravirtualization on the performance boundary.
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