---
title: "Jayashree Mohan — author profile and papers in our library"
description: "Jayashree Mohan, Microsoft Research: 3 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/jayashree-mohan/"
---
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# Jayashree Mohan

Jayashree Mohan has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Amey Agrawal](https://md.research.elamur.ai/free/en/authors/amey-agrawal/), [Ashish Panwar](https://md.research.elamur.ai/free/en/authors/ashish-panwar/), [Bhargav S. Gulavani](https://md.research.elamur.ai/free/en/authors/bhargav-s-gulavani/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5005136390) · [ORCID](https://orcid.org/0009-0005-5260-3203) · [Wikidata](https://www.wikidata.org/wiki/Q130930407) · [**h-index 10**](https://openalex.org/authors/A5005136390) · [33 works](https://openalex.org/works?filter=author.id:A5005136390) · [431 citations](https://openalex.org/works?filter=author.id:A5005136390&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/#papers) · [🔗 Cited 564 times in our library](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/cited-by/) · [⭐ Paper Stars ranking: #3820](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3820)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jayashree+Mohan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jayashree+Mohan) · [dblp](https://dblp.org/search?q=Jayashree+Mohan) · [ACL Anthology](https://aclanthology.org/search/?q=Jayashree+Mohan)

## Affiliations

[🏢**Microsoft Research** Bengaluru · India 2021–2026 · 9 papersEmployment since 2021 · Senior Researcher*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research/) · [🎓**The University of Texas at Austin** Austin · United States 2017–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🏢**Microsoft Research** Cambridge · United Kingdom 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/) · [🎓**National Institute of Technology Karnataka** Mangaluru · India 2015–2017 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-institute-of-technology-karnataka/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve](https://md.research.elamur.ai/free/en/papers/agrawal-2024-taming-throughput-latency-tradeoff-llm/)** *(2024 · 369 citations)* Serving LLMs online requires both high throughput, to keep costs down, and low latency between generated tokens.
2. **[SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills](https://md.research.elamur.ai/free/en/papers/agrawal-2023-sarathi-efficient-llm-inference-piggybacking/)** *(2023 · 144 citations)* Serving large language models is inefficient because generation has two very different stages. Processing the prompt (prefill) keeps a GPU fully busy even with a single request. Producing output one token at a time (decode) leaves most compute idle unless batches are large. Under pipeline parallelism, micro-batches…
3. **[Vidur: A Large-Scale Simulation Framework For LLM Inference](https://md.research.elamur.ai/free/en/papers/agrawal-2024-vidur-large-scale-simulation-framework/)** *(2024 · 90 citations)* Deploying a large language model involves many choices: the parallelism layout (TP, PP, number of replicas), the scheduler (Orca, vLLM, Sarathi-Serve), batch size, scheduler-specific knobs and the GPU SKU.

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Amey Agrawal](https://md.research.elamur.ai/free/en/authors/amey-agrawal/) ×3
- [Ashish Panwar](https://md.research.elamur.ai/free/en/authors/ashish-panwar/) ×3
- [Bhargav S. Gulavani](https://md.research.elamur.ai/free/en/authors/bhargav-s-gulavani/) ×3
- [Nipun Kwatra](https://md.research.elamur.ai/free/en/authors/nipun-kwatra/) ×3
- [Ramachandran Ramjee](https://md.research.elamur.ai/free/en/authors/ramachandran-ramjee/) ×3
- [Alexey Tumanov](https://md.research.elamur.ai/free/en/authors/alexey-tumanov/) ×2
- [Nitin Kedia](https://md.research.elamur.ai/free/en/authors/nitin-kedia/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- OSDI 2024

## Cited by

Papers of our library cite their works 564 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/cited-by/).

Updated 2 November 2026
