Arjun Balasubramanian

According to our database, Arjun Balasubramanian authored at least 7 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Accelerating Deep Learning Inference via Learned Caches.

Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella

CoRR, 2021

Atoll: A Scalable Low-Latency Serverless Platform.

Arjun Singhvi, Arjun Balasubramanian, Kevin Houck, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

Themis: Fair and Efficient GPU Cluster Scheduling.

Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

Network-accelerated distributed machine learning for multi-tenant settings.

Raajay Viswanathan, Arjun Balasubramanian, Aditya Akella

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Archipelago: A Scalable Low-Latency Serverless Platform.

Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella

CoRR, 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

CoRR, 2019

Accelerating Deep Learning Inference via Freezing.

Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella

Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019