activity
20172021
most citedSprinkler: Maximizing Resource Utilization in Many-Chip Solid State Disks

89 citations · 104 across the 10 of their papers we have counts for

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Showing cs.DCShow all

5 papers · 1 filter

cs.DC20206 cited

Fifer: Tackling Underutilization in the Serverless Era

Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram +2

Datacenters are witnessing a rapid surge in the adoption of serverless functions for microservices-based applications. A vast majority of these microservices typically span less th…

cs.DC2020

Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud

Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra +2

We are witnessing an increasing trend towardsusing Machine Learning (ML) based prediction systems, span-ning across different application domains, including productrecommendation s…

cs.DC2020

Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters

Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran +3

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 cl…

cs.DC2019

Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing

Xianwei Cheng, Hui Zhao, Mahmut Kandemir +2

Edge computing and IoT applications are severely constrained by limited hardware resource. This makes memory consuming DNN frameworks not applicable to edge computing. Simple algor…

cs.DC20171 cited

TraceTracker: Hardware/Software Co-Evaluation for Large-Scale I/O Workload Reconstruction

Miryeong Kwon, Jie Zhang, Gyuyoung Park +5

Block traces are widely used for system studies, model verifications, and design analyses in both industry and academia. While such traces include detailed block access patterns, e…