Vishal Gupta

Affiliations:
  • Google
  • VMWare
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA (PhD)


According to our database1, Vishal Gupta authored at least 11 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2018
HeteroOS: OS Design for Heterogeneous Memory Management in Datacenters.
ACM SIGOPS Oper. Syst. Rev., 2018

2017
HeteroOS: OS Design for Heterogeneous Memory Management in Datacenter.
Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2015
HeteroVisor: Exploiting Resource Heterogeneity to Enhance the Elasticity of Cloud Platforms.
Proceedings of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2015

2014
System abstractions for resource scaling on heterogeneous platforms.
PhD thesis, 2014

2013
Core groups: System abstractions for extending the dynamic range of client devices using heterogeneous cores.
Sustain. Comput. Informatics Syst., 2013

Software-controlled transparent management of heterogeneous memory resources in virtualized systems.
Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness, 2013

PowerTune: Differentiated Power Allocation in Over-Provisioned Multicore Systems.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Brawny vs. Wimpy: Evaluation and Analysis of Modern Workloads on Heterogeneous Processors.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
The Forgotten 'Uncore': On the Energy-Efficiency of Heterogeneous Cores.
Proceedings of the 2012 USENIX Annual Technical Conference, 2012

HeteroMates: Providing high dynamic power range on client devices using heterogeneous core groups.
Proceedings of the 2012 International Green Computing Conference, 2012

2011
An analysis of power reduction in datacenters using heterogeneous chip multiprocessors.
SIGMETRICS Perform. Evaluation Rev., 2011


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