activity
20172023
most citedThemis: Fair and Efficient GPU Cluster Scheduling

22 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2023★ 1 cited

SFC: Near-Source Congestion Signaling and Flow Control

Yanfang Le, Jeongkeun Lee, Jeremias Blendin +11

State-of-the-art congestion control algorithms for data centers alone do not cope well with transient congestion and high traffic bursts. To help with these, we revisit the concept…

cs.LG2022★ 1 cited

Prediction of the outcome of a Twenty-20 Cricket Match : A Machine Learning Approach

Ashish V Shenoy, Arjun Singhvi, Shruthi Racha +1

Twenty20 cricket, sometimes written Twenty-20, and often abbreviated to T20, is a short form of cricket. In a Twenty20 game the two teams of 11 players have a single innings each,…

cs.DC2019★ 19 cited

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…

cs.DC2019★ 2 cited

SNF: Serverless Network Functions

Arjun Singhvi, Junaid Khalid, Aditya Akella +1

It is increasingly common to outsource network functions (NFs) to the cloud. However, no cloud providers offer NFs-as-a-Service (NFaaS) that allows users to run custom NFs. Our wor…

cs.DC2019★ 22 cited

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…

cs.DC2017★ 2 cited

Whiz: A Fast and Flexible Data Analytics System

Robert Grandl, Arjun Singhvi, Raajay Viswanathan +1

Today's data analytics frameworks are compute-centric, with analytics execution almost entirely dependent on the pre-determined physical structure of the high-level computation. Re…