--- title: "Esha Choukse · Microsoft — author profile and papers" description: "Esha Choukse, Microsoft: 2 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/esha-choukse/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/esha-choukse/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Esha Choukse # Esha Choukse Esha Choukse has 2 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 [Chaojie Zhang](https://md.research.elamur.ai/free/en/authors/chaojie-zhang/), [Íñigo Goiri](https://md.research.elamur.ai/free/en/authors/inigo-goiri/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5045708568) · [ORCID](https://orcid.org/0000-0003-0371-5522) · [Wikidata](https://www.wikidata.org/wiki/Q130813642) · [**h-index 12**](https://openalex.org/authors/A5045708568) · [50 works](https://openalex.org/works?filter=author.id:A5045708568) · [975 citations](https://openalex.org/works?filter=author.id:A5045708568&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/esha-choukse/#papers) · [🔗 Cited 483 times in our library](https://md.research.elamur.ai/free/en/authors/esha-choukse/cited-by/) · [⭐ Paper Stars ranking: #3846](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3846) 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=Esha+Choukse) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Esha+Choukse) · [dblp](https://dblp.org/search?q=Esha+Choukse) · [ACL Anthology](https://aclanthology.org/search/?q=Esha+Choukse) ## Affiliations [🏢**Microsoft** Redmond · United States 2020–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research** Cambridge · United Kingdom 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/) · [🏢**Nvidia** Reading · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**The University of Texas at Austin** Austin · United States 2016–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 3 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 2 works](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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/esha-choukse/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/esha-choukse/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Splitwise: Efficient generative LLM inference using phase splitting](https://md.research.elamur.ai/free/en/papers/patel-2023-splitwise-efficient-generative-llm-inference/)** *(2023 · 379 citations)* Serving generative LLMs at scale is costly and power-hungry, and GPUs are often over-provisioned to meet latency SLOs. 2. **[DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency](https://md.research.elamur.ai/free/en/papers/stojkovic-2024-dynamollm-designing-llm-inference-clusters/)** *(2024 · 218 citations)* Serving LLMs on GPUs under tight latency targets uses a lot of energy. Existing power-management schemes were built for conventional datacenter software and miss the specific traits of LLM inference. The authors first profile several open models on an NVIDIA DGX H100 server running vLLM, varying prompt and output… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Chaojie Zhang](https://md.research.elamur.ai/free/en/authors/chaojie-zhang/) ×2 - [Íñigo Goiri](https://md.research.elamur.ai/free/en/authors/inigo-goiri/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/): [Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings 2024](https://md.research.elamur.ai/free/en/venues/proceedings-international-symposium-on-high-performance-computer-architecture/2024/) - ISCA 2024 ## Cited by Papers of our library cite their works 483 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/esha-choukse/cited-by/). Updated 2 November 2026