--- title: "Aditya Akella — author profile and papers — Elamur Research" description: "Aditya Akella, Microsoft: 2 papers on Elamur Research (2019–2026), h-index 61 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/aditya-akella/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aditya-akella/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aditya Akella # Aditya Akella Aditya Akella has 2 papers in our library, in 2019–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/), [Shivaram Venkataraman](https://md.research.elamur.ai/free/en/authors/shivaram-venkataraman/), [Zhangyang Wang](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/). 2 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5035329776) · [ORCID](https://orcid.org/0000-0002-5920-170X) · [Wikidata](https://www.wikidata.org/wiki/Q130969001) · [**h-index 61**](https://openalex.org/authors/A5035329776) · [323 works](https://openalex.org/works?filter=author.id:A5035329776) · [15,210 citations](https://openalex.org/works?filter=author.id:A5035329776&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/aditya-akella/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/aditya-akella/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8146](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8146) 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=Aditya+Akella) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aditya+Akella) · [dblp](https://dblp.org/search?q=Aditya+Akella) · [ACL Anthology](https://aclanthology.org/search/?q=Aditya+Akella) ## Affiliations [🎓**The University of Texas at Austin** Austin · United States 2021–2026 · 73 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🏢**Microsoft** Redmond · United States 2014–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Wisconsin–Madison** Madison · United States 2006–2021 · 167 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2002–2006 · 24 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Wisconsin System** Madison · United States 2013–2019 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-system/) · [🏢**Google** Mountain View · United States 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) 🏛️**The University of Texas at Austin College of Natural Sciences** Austin · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2021Employment since 2021 · Professor, Computer Science From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/aditya-akella/year/2026/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/aditya-akella/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Themis: Fair and Efficient GPU Cluster Scheduling](https://md.research.elamur.ai/free/en/papers/mahajan-2019-themis-fair-efficient-gpu-cluster/)** *(2019 · 87 citations)* Organizations increasingly pool GPUs into shared clusters for ML training, but fair-sharing schedulers built for big-data analytics, such as DRF, handle these workloads poorly. 2. **[Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration](https://md.research.elamur.ai/free/en/papers/shen-2026-improving-throughput-diffusion-based-large/)** *(2026 · 2 citations)* Diffusion-based LLMs (dLLMs) such as LLaDA and DREAM generate text by repeatedly denoising masked positions, which makes inference slow. ## All works 8 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. **[Developing a predictive model of quality of experience for internet video ↗](https://doi.org/10.1145/2486001.2486025) no summary yet**Athula Balachandran et al.*2013 · 349 citations* 2. **[Low Latency Geo-distributed Data Analytics ↗](https://doi.org/10.1145/2785956.2787505) no summary yet**Qifan Pu et al.*2015 · 241 citations* 3. **[A quest for an Internet video quality-of-experience metric ↗](https://doi.org/10.1145/2390231.2390248) ACM Workshop on Hot Topics in Networks (HotNets) · no summary yet**Athula Balachandran et al.*2012 · 123 citations* 4. [**Themis: Fair and Efficient GPU Cluster Scheduling arXiv:1907.01484**Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, et al.*2019 · 87 citations*](https://md.research.elamur.ai/free/en/papers/mahajan-2019-themis-fair-efficient-gpu-cluster/) 5. **[Jiffy ↗](https://doi.org/10.1145/3492321.3527539) no summary yet**Anurag Khandelwal et al.*2022 · 49 citations* 6. **[Bridging the GAP ↗](https://doi.org/10.1145/3210259.3210269) no summary yet**Anand Padmanabha Iyer et al.*2018 · 17 citations* 7. **[Exploring Congestion Control ↗](https://openalex.org/W2208719057) no summary yet**Aditya Akella et al.*2002 · 3 citations* 8. **[Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration](https://md.research.elamur.ai/free/en/papers/shen-2026-improving-throughput-diffusion-based-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jucheng Shen, Gaurav Sarkar, Yeonju Ro, et al.*2026 · 2 citations* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Amar Phanishayee](https://md.research.elamur.ai/free/en/authors/amar-phanishayee/) - [Shivaram Venkataraman](https://md.research.elamur.ai/free/en/authors/shivaram-venkataraman/) - [Zhangyang Wang](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - ACM Workshop on Hot Topics in Networks (HotNets) ## Cited by Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aditya-akella/cited-by/). Updated 2 November 2026