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Janardhan Kulkarni

42 papers hereh-index 273.5k citations82 works total

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

author position
  • first author6
  • middle author29
  • last author7

Across the 42 of 42 papers where every author was matched, so the position is known.

fields
  • cs.DS20
  • cs.LG13
  • cs.CR3
  • cs.DC3
  • cs.GT2
  • cs.CV1
same name
  • Janardhan Kulkarni — 10 papers, h 7
  • Janardhan Kulkarni — 4 papers, h 2
  • Janardhan Kulkarni — 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
20132023
most citedCollecting Telemetry Data Privately

265 citations · 441 across the 39 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.DS2014

Tight Bounds for Online Vector Scheduling

Sungjin Im, Nathaniel Kell, Janardhan Kulkarni +1

Modern data centers face a key challenge of effectively serving user requests that arrive online. Such requests are inherently multi-dimensional and characterized by demand vectors…

cs.DS2014

SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors

Sungjin Im, Janardhan Kulkarni, Kamesh Munagala +1

We consider the classical problem of minimizing the total weighted flow-time for unrelated machines in the online \emph{non-clairvoyant} setting. In this problem, a set of jobs J…

cs.DS2014★ 9 cited

Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints

Sungjin Im, Janardhan Kulkarni, Kamesh Munagala

We introduce and study a general scheduling problem that we term the Packing Scheduling problem. In this problem, jobs can have different arrival times and sizes; a scheduler can p…

cs.DS2014

Minimizing Flow-Time on Unrelated Machines

Nikhil Bansal, Janardhan Kulkarni

We consider some flow-time minimization problems in the unrelated machines setting. In this setting, there is a set of m machines and a set of n jobs, and each job j has a ma…

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