--- title: "Tor M. Aamodt — author profile and papers — Elamur Research" description: "Tor M. Aamodt, University of British Columbia: 2 papers on Elamur Research (2009–2020), h-index 32 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/tor-m-aamodt/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tor-m-aamodt/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tor M. Aamodt # Tor M. Aamodt Tor M. Aamodt has 2 papers in our library, in 2009–2020, most of them on [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/). 2 papers in our library · 2009–2020 [OpenAlex](https://openalex.org/A5026788167) · [ORCID](https://orcid.org/0000-0003-1161-692X) · [Wikidata](https://www.wikidata.org/wiki/Q130856453) · [**h-index 32**](https://openalex.org/authors/A5026788167) · [179 works](https://openalex.org/works?filter=author.id:A5026788167) · [7,870 citations](https://openalex.org/works?filter=author.id:A5026788167&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tor-m-aamodt/#papers) · [🔗 Cited 184 times in our library](https://md.research.elamur.ai/free/en/authors/tor-m-aamodt/cited-by/) · [⭐ Paper Stars ranking: #1497](https://md.research.elamur.ai/free/en/paper-stars/page/15/#star-1497) 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=Tor+M.+Aamodt) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tor+M.+Aamodt) · [dblp](https://dblp.org/search?q=Tor+M.+Aamodt) · [ACL Anthology](https://aclanthology.org/search/?q=Tor+M.+Aamodt) ## Affiliations [🎓**University of British Columbia** Vancouver · Canada 2006–2026 · 154 papersEmployment since 2006 · Professor, Electrical and Computer Engineering*current*](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) · [🎓**University of Toronto** Toronto · Canada 2000–2004 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🏢**Intel** Santa Clara · United States 2003 · 3 papers](https://md.research.elamur.ai/free/en/companies/intel/) · [🎓**Stanford University** Stanford · United States 2013–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 4 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 Graphics and Computer-Aided Design · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-graphics-and-computer-aided-design/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 1 Research subjects and languages the work is about.[GPU & parallel computing · 2 works](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/tor-m-aamodt/year/2020/) ### 2000s [**2009** 1 paper](https://md.research.elamur.ai/free/en/authors/tor-m-aamodt/year/2009/) ## Papers The most cited first (OpenAlex and our library). 1. **[Analyzing CUDA Workloads Using a Detailed GPU Simulator](https://md.research.elamur.ai/free/en/papers/bakhoda-2009-analyzing-cuda-workloads-detailed-gpu/)** *(2009 · 1,764 citations)* Modern GPUs offer far more raw compute than CPUs, yet many CUDA programs, even highly data-parallel ones, fall well short of peak throughput. 2. **[Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling](https://md.research.elamur.ai/free/en/papers/khairy-2020-accel-sim-extensible-simulation-framework/)** *(2020 · 447 citations)* GPU vendors change their machine ISAs and microarchitectures with almost every generation and rarely document them. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [ACM/IEEE International Symposium on Computer Architecture (ISCA)](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/): [ISCA 2020](https://md.research.elamur.ai/free/en/venues/acm-ieee-international-symposium-on-computer-architecture-isca/2020/) - ISPASS 2009 ## Cited by Papers of our library cite their works 184 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/tor-m-aamodt/cited-by/). Updated 2 November 2026