19 citations · 30 across the 3 of their papers we have counts for
4 papers
Accelerating Deep Learning Inference via Learned Caches
Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu +3
Deep Neural Networks (DNNs) are witnessing increased adoption in multiple domains owing to their high accuracy in solving real-world problems. However, this high accuracy has been…
Accelerating Deep Learning Inference via Freezing
Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman +1
Over the last few years, Deep Neural Networks (DNNs) have become ubiquitous owing to their high accuracy on real-world tasks. However, this increase in accuracy comes at the cost o…
Archipelago: A Scalable Low-Latency Serverless Platform
Arjun Singhvi, Kevin Houck, Arjun Balasubramanian +3
The increased use of micro-services to build web applications has spurred the rapid growth of Function-as-a-Service (FaaS) or serverless computing platforms. While FaaS simplifies…
Themis: Fair and Efficient GPU Cluster Scheduling
Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi +4
Modern distributed machine learning (ML) training workloads benefit significantly from leveraging GPUs. However, significant contention ensues when multiple such workloads are run…