Faculty profile
Tor Aamodt
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Research
Latest funding
- $118,000
Hardware Accelerators for Learning Systems
NSERC · 2023 · Principal investigator
- $150,000
Designing Efficient and Resilient Deep Learning Accelerators using an AI Supercomputer
NSERC · 2018 · Principal investigator
- $735,000
Error Resilient Machine Learning Systems
NSERC · 2017 · Principal investigator
Hardware Accelerators for Learning Systems
Principal investigators: Aamodt, Tor
Keywords: computer architecture; hardware accelerators; machine learning; deep neural networks; robotics accelerators; machine learning training acceleration
Designing Efficient and Resilient Deep Learning Accelerators using an AI Supercomputer
Principal investigators: Aamodt, Tor
Error Resilient Machine Learning Systems
Principal investigators: Aamodt, Tor
Energy-Efficient Programmable Accelerators
Principal investigators: Aamodt, Tor
Energy-Efficient Programmable Accelerators
Principal investigators: Aamodt, Tor
NSERC COHESA: Computing Hardware for Emerging Intelligent Sensory Applications
Principal investigators: Moshovos, Andreas AM
Data supply architectures for smartphone and tablet devices
Principal investigators: Moshovos, Andreas
Shared-memory multiprocessor for parallel algorithms and architectures
Principal investigators: Lemieux, Guy
Heterogeneous manycore accelerator architectures
Principal investigators: Aamodt, Tor
Mobile graphics processor unit architecture simulation
Principal investigators: Aamodt, Tor
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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