--- title: "Ramachandran Ramjee · Microsoft — author profile and papers" description: "Ramachandran Ramjee, Microsoft: 3 papers on Elamur Research (2023–2024), h-index 40 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/ramachandran-ramjee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ramachandran-ramjee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ramachandran Ramjee # Ramachandran Ramjee Ramachandran Ramjee 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/A5015355530) · [ORCID](https://orcid.org/0000-0003-0007-6040) · [Wikidata](https://www.wikidata.org/wiki/Q130932360) · [**h-index 40**](https://openalex.org/authors/A5015355530) · [134 works](https://openalex.org/works?filter=author.id:A5015355530) · [8,660 citations](https://openalex.org/works?filter=author.id:A5015355530&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ramachandran-ramjee/#papers) · [🔗 Cited 564 times in our library](https://md.research.elamur.ai/free/en/authors/ramachandran-ramjee/cited-by/) · [⭐ Paper Stars ranking: #3822](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3822) 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=Ramachandran+Ramjee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ramachandran+Ramjee) · [dblp](https://dblp.org/search?q=Ramachandran+Ramjee) · [ACL Anthology](https://aclanthology.org/search/?q=Ramachandran+Ramjee) ## Affiliations [🏢**Microsoft Research** Bengaluru · India 2007–2026 · 52 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research/) · [🏢**Microsoft** Redmond · United States 2010–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Alcatel-Lucent** Boulogne-Billancourt · France 2000–2006 · 15 papers](https://ror.org/024850w61) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 1995–2002 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🏢**AT&T** Bedminster · United States 2002–2007 · 3 papers](https://md.research.elamur.ai/free/en/companies/at-t/) · [🏢**Microsoft** Hyderabad · India 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-india/) · [🎓**Institute of Electrical and Electronics Engineers** Piscataway · United States 2005–2006 · 2 papers](https://ror.org/01n002310) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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/ramachandran-ramjee/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ramachandran-ramjee/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 - [Jayashree Mohan](https://md.research.elamur.ai/free/en/authors/jayashree-mohan/) ×3 - [Nipun Kwatra](https://md.research.elamur.ai/free/en/authors/nipun-kwatra/) ×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/ramachandran-ramjee/cited-by/). Updated 2 November 2026