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jashwant raj gunasekaran
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About Me

I am a Research Engineer at Adobe working on cluster and infrastructure management for Machine Learning workloads. Prior to this I completed my PhD in Computer Science at Penn State as a member of High Performance Computing Laboratory (HPCL) co-advised by Prof. Chitaranjan Das and Prof. Mahmut Kandemir. I did my Bachelors in Computer Science and Engineering at MIT, Anna University. Later I worked in Qualcomm India from May'2013 to Aug'2014.

Research Focus

My PhD research was broadly focused on maximizing performance and minimizing cost in Cloud platforms. I had worked on different aspects of cloud such as resource management with respect to hardware and application heterogeniety, serverless computing (FaaS), and High Performance Computing. More details about my research is available in my dissertation.

Dissertation: Summary Slides , Resume

Publications

  1. CCGRID'22 (To Appear)
    Splice: An Automated Framework for Cost- and Performance-Aware Blending of Cloud Services,
    MJ Son, Jashwant Raj Gunasekaran, Shurithi Mohanty, Mahmut Taylan Kandemir, Chita R. Das
  2. NSDI'22 (To Appear)
    Multidimensional Optimization of Ensemble learning-based inference serving,
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das
  3. SoCC'21 (To Appear)
    Kraken : Adaptive Container Provisioning for Deploying Dynamic DAG applications in Serverless platforms,
    Vivek Bhasi, Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita R. Das
  4. MIDDLEWARE 2020 (24.5% acceptance)
    Fifer: Tackling Resource Underutilization in the Serverless Era Github
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram, Mahmut Taylan Kandemir, Chita R. Das, accepted at ACM/IFIP Middleware 2020
  5. WoSC 2020
    Implications of Public Cloud Resource Heterogeneity for Inference Serving
    Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran, Mahmut Taylan Kandemir, Chita R. Das, accepeted at ACM/IFIP Workshop on Serverless Computing 2020
  6. ICDCS 2020(Poster)
    Characterizing Bottlenecks in Scheduling Microservices on Serverless Platforms
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram, Mahmut Taylan Kandemir, Chita R. Das, to appear at the International Conference on Distributed Computing Systems, ICDCS, Sinagpore 2020
  7. CCGrid 2020 (19% acceptance)
    Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Michael Cui, Josh Simons, Mahmut Taylan Kandemir, Chita R. Das, International Symposium on Cluster, Cloud and Grid Computing, CCGRID, Melbourne 2020
  8. IEEE CLOUD 2019 (20% acceptance)
    Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement Github
    Jashwant Raj Gunasekaran, Prashanth Thinakaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar, George Kesidis, Chita R. Das, in the Proceedings of IEEE CLOUD, Milan, Italy, 2019
  9. CLUSTER 2019 (27% acceptance)
    Kube-Knots: Resource Harvesting through Dynamic Container Orchestration in GPU-based Datacenters
    Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das, in the Proceedings of IEEE CLUSTER, NM, 2019
  10. SoCC 2018 (Poster)
    The Curious Case of Container Orchestration and Scheduling in GPU-based Datacenters
    Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das, in the Proceedings of the ACM Symposium on Cloud Computing, CA, 2018
  11. ICDCS 2017 (16.9% acceptance) Phoenix: A Constraint-aware Scheduler for Heterogeneous Datacenters , Github
    Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut Taylan Kandemir, Chita R. Das, in the proceedings of the 37th IEEE International Conference on Distributed Computing Systems, Atlanta USA
  12. IEEE TrustCom 2012
    Random4: An Application Specific Randomized Encryption Algorithm to prevent SQL injection, Srinivas Avireddy, Jashwant Raj Gunasekaran, et.al., 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications Liverpool, United Kingdom

Experience

PhD Intern
(Office of CTO- HPC scheduling project )

Summer 2019
Graduate Assistant
(Teaching and Research)

2017 - Present
Engineering Intern
(Implement DTIM feature in Snapdragon WIFI Firmware )

Summer 2016

Engineering Intern
(Develop tools to Optimize Android Power Management Systems)

Summer 2015
Software Engineer
(WiFi Driver Development)

June 2013- July 2014


Get In Touch

Address

345 Park Ave, San Jose, CA 95110

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E-mail

jashwant@psu.edu