Michael Cui

Michael is a member of technical staff in VMware’s Office of the CTO, working on virtualizing High Performance Computing. Previously, he was a research assistant and part-time instructor at the University of Pittsburgh, where his research was supported by multiple grants from NSF and DOE. He holds both a PhD and a Master degrees in Computer Science from the University of Pittsburgh.

Recent Posts

Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters

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Traditionally, HPC workloads have been deployed in bare-metal clusters, but the advances in virtualization have led the pathway for these workloads to be deployed in virtualized clusters. However, HPC cluster administrators/providers still face challenges in terms of resource elasticity and virtual machine provisioning at large-scale, due to the lack of coordination between a traditional HPC Read more...

Using Xilinx FPGA on VMware vSphere for High-throughput, Low-latency Machine Learning Inference

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VMware is committed to helping customers build intelligent infrastructure and optimize workload execution. With the rapidly growing interest in Machine Learning (ML) and High Performance Computing (HPC), hardware accelerators are increasingly being adopted  in private, public, and hybrid cloud environments to accelerate these compute-intensive workloads. As part of facilitating this IT infrastructure transformation, VMware is Read more...

Highlights of New Features and Improvements in vSphere 7/vSAN 7/NSX-T 3 for High Performance Computing and Machine Learning

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vSphere 7.0 is the biggest release of vSphere in over a decade, with a completely new design to power modernization of both infrastructure and applications. The headline news is that vSphere now support Kubernetes natively, so that you can run VMs and containers on the same platform. In addition, the new release of vSphere 7.0 Read more...

Virtualizing HPC Throughput Computing with CPU Over-commitment

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High Performance Computing (HPC) workloads have traditionally been run only on bare-metal, unvirtualized hardware. However, performance of these highly parallel technical workloads has increased dramatically over the last decade with the introduction of increasingly sophisticated hardware support for virtualization, enabling organizations to begin to embrace the numerous benefits that a virtualization platform can offer. This Read more...

What’s New in vSphere 6.5 and 6.7 for High Performance Computing and Machine Learning/Deep Learning

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VMware vSphere is continuously improving to provide enhanced and new features. In every release, significant improvements have been made in the areas of customer experience, security, availability, and performance. This blog highlights the new functionality and performance improvements that are closely related to High-Performance Computing (HPC) and Machine Learning/Deep Learning (ML/DL) workloads from vSphere 6.5 Read more...