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VIRT 2020 : The 3rd Special Session on Virtualization in Machine Learning, High Performance Computing and Simulation

Barcelona, Spain
Event Date: Oct 26, 2020 - Oct 30, 2020
Submission Deadline: Jun 17, 2020
Notification of Acceptance: Jul 10, 2020
Camera Ready Version Due : Aug 03, 2020


The goal of this special session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed.

Call For Paper

The VIRT topics include (but are not limited to) the following: 

Virtualization in HPC

o Energy efficient solutions for HPC applications in the cloud environment
o High-availability based on system-level virtualization mechanisms for HPC
o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC
o Performance and evaluation of diverse HPC workloads in virtualization environment
o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC
o Flexibility and Ease of system administration and management for virtualized environments for HPC
o Running diverse workloads
o Running heterogeneous Operating Systems
o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime
o Scheduling of resources and Workloads
o Software Defined Data Centers (SDDC)
o Hypervisors and other virtualization solutions tailored for HPC systems
o Big Data and Analytics in Virtualized Environments
o Enterprise High Performance Computing in Virtualized Environments

Accelerators in Virtualized HPC Environments:

o Virtualized GPUs
o Scheduling of Virtual GPUs
o Using FPGAs in Virtualization Stack
o Dynamic Reconfiguration of FPGAs

IO Virtualization

o Network Virtualization
o Software Defined Networking (SDN)
o Storage Virtualization
o RDMA and vRDMA

Containers in HPC

o Isolation of Multiple User-Spaces 
o Running containers in Virtual Machines


o Virtualization solutions for dealing with heterogeneity in HPC environments
o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs
o Operating system support for virtualization in HPC systems
o Debugging and/or profiling in virtual environments


o Distributed Resource Scheduling
o Distributed Computing

AI, Machine Learning and Deep Learning

o Virtualization of Deep Learning Workloads
o Deep Learning in HPC Simulations
o Resource Allocation Using Machine Learning
o Reinforcement Learning for Resource Allocation
o Machine Learning to build tools for measurement & calibration

Virtualization in Simulation

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