Arjun Balasubramanian

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 8

Top Topics

Unsupervised Feature Learning

Spatio Temporal Databases

Continuous Query Processing

Top Venues

Publications

Arjun Singhvi, Arjun Balasubramanian, Kevin Houck, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella
Atoll: A Scalable Low-Latency Serverless Platform. SoCC (2021)
Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Learned Caches. CoRR (2021)
Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla
Themis: Fair and Efficient GPU Cluster Scheduling. NSDI (2020)
Raajay Viswanathan, Arjun Balasubramanian, Aditya Akella
Network-accelerated distributed machine learning for multi-tenant settings. SoCC (2020)
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Freezing. CoRR (2020)
Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. CoRR (2019)
Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella
Archipelago: A Scalable Low-Latency Serverless Platform. CoRR (2019)
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella
Accelerating Deep Learning Inference via Freezing. HotCloud (2019)