[hpc-announce] Call for papers PPoPP 20 workshop: Benchmarking in the datacenter

Benson Muite benson_muite at emailplus.org
Mon Dec 16 06:59:39 CST 2019

Workshop Title:

Benchmarking in the Datacenter

Workshop Description:

High performance computing (HPC) is no longer confined to universities 
and national research laboratories, it is increasingly used in industry. 
HPC use is growing and has significant industrial users. Education of 
students also needs to take this into account. Users need to be able to 
evaluate what benefits HPC can bring to their companies, what type of 
computational resources (e.g. multi-, many-core CPUs, GPUs, hybrid 
systems) would be best for their workloads and how they can evaluate 
what they should pay for these resources. Another issue that arises in 
shared computing environments is privacy: in commercial HPC 
environments, data produced and software used typically has commercial 
value, and so needs to be protected. Recent general adoption of machine 
learning has motivated migration of HPC to traditional data centers, and 
there is a growing interest by the community on performance evaluation 
in this area. In addition to traditional performance benchmarking and 
high performance system evaluation (including absolute performance, 
energy efficiency), as well as configuration optimizations, this 
workshop will discuss issues that are of particular importance in 
commercial HPC. Benchmarking has typically invovled running specific 
workloads that are reflective of typical of computational science and 
engineering, yet with growing diversity of workloads, theoretical 
performance modeling is also of interest to allow for performance 
prediction given a minimal set of measurements. The workshop solicits 
short papers that can later be expanded to full papers for a special 
volume addressing the above and related topics


15 January 2020: Papers due
25 January 2020: Notification of acceptance/rejection of papers
Morning 23 February 2019: Workshop

Please see the workshop website http://parallel.computer for more 

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