Kraken: Adaptive Container Provisioning for Deploying Dynamic DAGs in Serverless Platforms. - Vivek M. Bhasi; Jashwant Raj Gunasekaran; Prashanth Thinakaran; Cyan Subhra Mishra; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2021)

Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. - Vivek M. Bhasi; Jashwant Raj Gunasekaran; Aakash Sharma; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2022)

Analysis of Distributed Deep Learning in the Cloud. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (CoRR, 2022)

Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (ICDCS, 2023)

FAAStloop: Optimizing Loop-Based Applications for Serverless Computing. - Shruti Mohanty; Vivek M. Bhasi; Myungjun Son; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2024)

Paldia: Enabling SLO-Compliant and Cost-Effective Serverless Computing on Heterogeneous Hardware. - Vivek M. Bhasi; Aakash Sharma; Shruti Mohanty; Mahmut Taylan Kandemir; Chita R. Das (IPDPS, 2024)

Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs. - Rishabh Jain; Vivek M. Bhasi; Adwait Jog; Anand Sivasubramaniam; Mahmut T. Kandemir; Chita R. Das (MICRO, 2024)

Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures. - Vivek M. Bhasi; Aakash Sharma; Rishabh Jain; Jashwant Raj Gunasekaran; Ashutosh Pattnaik; Mahmut Taylan Kandemir; Chita R. Das (Middleware, 2024)

GPU Cluster Scheduling for Network-Sensitive Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; George Kesidis; Mahmut T. Kandemir; Chita R. Das (CoRR, 2024)