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

collaborators

14 papers

cs.AR20217 cited

Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution

Jie Zhang, Miryeong Kwon, Donghyun Gouk +4

Large persistent memories such as NVDIMM have been perceived as a disruptive memory technology, because they can maintain the state of a system even after a power failure and allow…

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.OS2020

FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack

Jie Zhang, Miryeong Kwon, Sanghyun Han +3

Host-side page victimizations can easily overflow the SSD internal buffer, which interferes I/O services of diverse user applications thereby degrading user-level experiences. To a…

cs.AR2019

AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling

Xianwei Cheng, Hui Zhao, Mahmut Kandemir +2

Different GPU applications exhibit varying scalability patterns with network-on-chip (NoC), coalescing, memory and control divergence, and L1 cache behavior. A GPU consists of seve…