About Mojtaba Alshams Mojtaba Alshams Ph.D. Student, Electrical and Computer Engineering distributed computing Deep learning Computer Vision edge compute paradigms distributed deep learning edge devices energy flexible and efficient inference Projects Related Projects 2025 Efficient AI Across Edge, Near-Edge, and Cloud Thu, Sep 25 2025 Research AI accelerator Modern applications like smart cameras, self-driving cars, and VR devices rely on powerful AI models. Running these models quickly and efficiently across phones, edge devices, and cloud servers is a tough challenge. Our work develops two frameworks to make this possible: DONNA finds the best way to split and run AI models across different types of devices, from traditional CPUs and GPUs to new Compute-In-Memory (CIM) accelerators, so they use less energy while staying fast. HiDist takes the idea further by looking at the whole system: edge devices near the user, stronger near-edge servers, and
Efficient AI Across Edge, Near-Edge, and Cloud Thu, Sep 25 2025 Research AI accelerator Modern applications like smart cameras, self-driving cars, and VR devices rely on powerful AI models. Running these models quickly and efficiently across phones, edge devices, and cloud servers is a tough challenge. Our work develops two frameworks to make this possible: DONNA finds the best way to split and run AI models across different types of devices, from traditional CPUs and GPUs to new Compute-In-Memory (CIM) accelerators, so they use less energy while staying fast. HiDist takes the idea further by looking at the whole system: edge devices near the user, stronger near-edge servers, and
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