SIGPLAN logoBenchmarking in the Data Center: Expanding to the Cloud

workshop held in conjunction with PPoPP 2022: Principles and Practice of Parallel Programming 2022

UPD 2022.01.11: The workshop will be held virtually due to rising omicron cases

Workshop Scope

High performance computing (HPC) is no longer confined to universities and national research laboratories, it is increasingly used in industry and in the cloud. Education of users 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 workloads to cloud data centers, and there is a growing interest by the community on performance evaluation in this area, especially for end-to-end workflows. 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 involved running specific workloads that are reflective of typical HPC workloads, 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 will be composed of submitted papers, invited talks and a panel composed of representatives from industry.

Date and Location


Sat 2 - Sun 3 April 2022
Seoul, South Korea
Co-located with PPoPP 2022 We invite novel, unpublished research paper submission within the scope of this workshop. Paper submission topics include, but are not limited to, the following areas:

Authors are invited to submit work as regular paper (up to 8 pages including references). All papers must be prepared in ACM Conference Format using the 2-column acmart format and SIGPLAN proceedings template. The submitted work shall be in the English language.

Submitted papers will be peer-reviewed by the technical program committee (TPC). The submitted manuscripts should not include author names and affiliations, as a double-blind review process will be followed. Review of supplementary material is at the discretion of the reviewers; papers must be complete and self-contained.

Workshop submission site: https://easychair.org/conferences/?conf=bid2022

Workshop Program

TBA

Registration

Please register at the main conference website.

Schedule

Paper submission deadline: 31 January 2022 AoE
Author notification: 24 February 2021
Workshop: 2-3 April 2022

Organizing Committee

Kevin Brown (Argonne National Laboratory)

Aleksandr Drozd (RIKEN Center for Computational Science)

Industrial Panel Chairs

VerĂ³nica G. Melesse Vergara (Oak Ridge National Laboratory)

Oscar Hernandez (Nvidia)

Program Committee

To be announced