63 citations · 85 across the 5 of their papers we have counts for
5 papers
D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs
Aditya Dhakal, Sameer G. Kulkarni, K. K. Ramakrishnan
Hardware accelerators such as GPUs are required for real-time, low-latency inference with Deep Neural Networks (DNN). However, due to the inherent limits to the parallelism they ca…
Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet
Vinod S. Khandkar, Manjesh K. Hanawal, Sameer G Kulkarni
Security and Privacy are crucial in modern Internet services. Transport Layer Security (TLS) has largely addressed the issue of security. However, information about the type of ser…
Analyzing Open-Source Serverless Platforms: Characteristics and Performance
Junfeng Li, Sameer G. Kulkarni, K. K. Ramakrishnan +1
Serverless computing is increasingly popular because of its lower cost and easier deployment. Several cloud service providers (CSPs) offer serverless computing on their public clou…
Spatial Sharing of GPU for Autotuning DNN models
Aditya Dhakal, Junguk Cho, Sameer G. Kulkarni +2
GPUs are used for training, inference, and tuning the machine learning models. However, Deep Neural Network (DNN) vary widely in their ability to exploit the full power of high-per…
Understanding Open Source Serverless Platforms: Design Considerations and Performance
Junfeng Li, Sameer G. Kulkarni, K. K. Ramakrishnan +1
Serverless computing is increasingly popular because of the promise of lower cost and the convenience it provides to users who do not need to focus on server management. This has r…