Accelerating Deep Learning Inference via Freezing. - Adarsh Kumar 001; Arjun Balasubramanian; Shivaram Venkataraman; Aditya Akella (HotCloud, 2019)

Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. - Kshiteej Mahajan; Arjun Singhvi; Arjun Balasubramanian; Varun Batra; Surya Teja Chavali; Shivaram Venkataraman; Aditya Akella; Amar Phanishayee; Shuchi Chawla 001 (CoRR, 2019)

Archipelago: A Scalable Low-Latency Serverless Platform. - Arjun Singhvi; Kevin Houck; Arjun Balasubramanian; Mohammed Danish Shaikh; Shivaram Venkataraman; Aditya Akella (CoRR, 2019)

Network-accelerated distributed machine learning for multi-tenant settings. - Raajay Viswanathan; Arjun Balasubramanian; Aditya Akella (SoCC, 2020)

Themis: Fair and Efficient GPU Cluster Scheduling. - Kshiteej Mahajan; Arjun Balasubramanian; Arjun Singhvi; Shivaram Venkataraman; Aditya Akella; Amar Phanishayee; Shuchi Chawla 001 (NSDI, 2020)

Atoll: A Scalable Low-Latency Serverless Platform. - Arjun Singhvi; Arjun Balasubramanian; Kevin Houck; Mohammed Danish Shaikh; Shivaram Venkataraman; Aditya Akella (SoCC, 2021)

Accelerating Deep Learning Inference via Learned Caches. - Arjun Balasubramanian; Adarsh Kumar 001; Yuhan Liu; Han Cao; Shivaram Venkataraman; Aditya Akella (CoRR, 2021)