--- title: "Aniruddha Nrusimha — author profile and papers in our library" description: "Aniruddha Nrusimha, Stanford University: 2 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/aniruddha-nrusimha/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aniruddha-nrusimha/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aniruddha Nrusimha # Aniruddha Nrusimha Aniruddha Nrusimha has 2 papers in our library, in 2023–2024, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [William Brandon](https://md.research.elamur.ai/free/en/authors/william-brandon/), [Mayank Mishra](https://md.research.elamur.ai/free/en/authors/mayank-mishra/), [Rameswar Panda](https://md.research.elamur.ai/free/en/authors/rameswar-panda/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5079711996) · [**h-index 4**](https://openalex.org/authors/A5079711996) · [13 works](https://openalex.org/works?filter=author.id:A5079711996) · [94 citations](https://openalex.org/works?filter=author.id:A5079711996&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/#papers) · [🔗 Cited 163 times in our library](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8449](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8449) 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=Aniruddha+Nrusimha) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aniruddha+Nrusimha) · [dblp](https://dblp.org/search?q=Aniruddha+Nrusimha) · [ACL Anthology](https://aclanthology.org/search/?q=Aniruddha+Nrusimha) ## Affiliations [🎓**Stanford University** Stanford · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of California, Berkeley** Berkeley · United States 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/aniruddha-nrusimha/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/)** *(2024 · 57 citations)* When large language models generate text autoregressively, they store keys and values (the KV cache) for every token and layer. 2. **[Striped Attention: Faster Ring Attention for Causal Transformers](https://md.research.elamur.ai/free/en/papers/brandon-2023-striped-attention-faster-ring-attention/)** *(2023 · 41 citations)* Ring Attention (Liu et al., 2023) makes very long contexts trainable by splitting queries, keys and values along the sequence across accelerators arranged in a ring. ## All works 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization ↗](https://arxiv.org/abs/1910.02653) MLSys 2020 · no summary yet**Paras Jain et al.*2019 · 98 citations* 2. **[Reducing Transformer Key-Value Cache Size with Cross-Layer Attention](https://md.research.elamur.ai/free/en/papers/brandon-2024-reducing-transformer-key-value-cache/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**William Brandon, Mayank Mishra, Aniruddha Nrusimha, et al.*2024 · 57 citations* 3. [**Striped Attention: Faster Ring Attention for Causal Transformers arXiv:2311.09431**William Brandon, Aniruddha Nrusimha, Kevin Qian, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/brandon-2023-striped-attention-faster-ring-attention/) 4. **[Towards Verifiable Text Generation with Symbolic References ↗](https://arxiv.org/abs/2311.09188) arXiv (Cornell University) · no summary yet**Lucas Torroba Hennigen et al.*2023 · 10 citations* 5. **[Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization ↗](https://arxiv.org/abs/2404.03605) arXiv:2404.03605 · no summary yet**Aniruddha Nrusimha et al.*2024 · 6 citations* 6. **[FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference ↗](https://arxiv.org/abs/2505.22758) arXiv (Cornell University) · no summary yet**Aniruddha Nrusimha et al.*2025 · 3 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [William Brandon](https://md.research.elamur.ai/free/en/authors/william-brandon/) ×2 - [Mayank Mishra](https://md.research.elamur.ai/free/en/authors/mayank-mishra/) - [Rameswar Panda](https://md.research.elamur.ai/free/en/authors/rameswar-panda/) - [Tian Jin](https://md.research.elamur.ai/free/en/authors/tian-jin/) - [Zachary Ankner](https://md.research.elamur.ai/free/en/authors/zachary-ankner/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - MLSys 2020 ## Cited by Papers of our library cite their works 163 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/aniruddha-nrusimha/cited-by/). Updated 3 November 2026