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Aditya Akella

23 papers hereh-index 6617.4k citations244 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author13

Across the 21 of 23 papers where every author was matched, so the position is known.

fields
  • cs.DC10
  • cs.NI7
  • cs.LG3
  • cs.DB2
  • cs.LO1
same name
  • Aditya Akella — 14 papers, h 5
  • Aditya Akella — 13 papers, h 5
  • Aditya Akella — 8 papers, h 5
  • Aditya Akella — 2 papers
  • Aditya Akella — 2 papers, h 1
  • Aditya Akella — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedArchipelago: A Scalable Low-Latency Serverless Platform

19 citations · 68 across the 19 of their papers we have counts for

collaborators
Showing 2019 · cs.DCShow all

4 papers · 2 filters

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

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.DC2019★ 3 cited

Network-accelerated Distributed Machine Learning Using MLFabric

Raajay Viswanathan, Aditya Akella

Existing distributed machine learning (DML) systems focus on improving the computational efficiency of distributed learning, whereas communication aspects have received less attent…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.