Tor M. Aamodt
Tor M. Aamodt has 2 papers in our library, in 2009–2020, most of them on GPU & parallel computing.
OpenAlex · ORCID · Wikidata · h-index 32 · 179 works · 7,870 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 184 times in our library · ⭐ Paper Stars ranking: #1497
Affiliations
🎓University of British ColumbiaVancouver ·
Canada2006–2026 · 154 papersEmployment since 2006 · Professor, Electrical and Computer Engineering🎓University of TorontoToronto ·
Canada2000–2004 · 5 papers🏢IntelSanta Clara ·
United States2003 · 3 papers🎓Stanford UniversityStanford ·
United States2013–2016 · 2 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Graphics and Computer-Aided Design · 2 worksHardware and Architecture · 2 worksComputer Networks and Communications · 1 work
🧭 Topics 1Research subjects and languages the work is about.GPU & parallel computing · 2 works
Works by year
2020s
2000s
Papers
- Analyzing CUDA Workloads Using a Detailed GPU Simulator (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. - Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling (2020 · 447 citations)
GPU vendors change their machine ISAs and microarchitectures with almost every generation and rarely document them.
Venues
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