AI Accelerator

EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models

The deployment of language models is rapidly shifting from datacenters to edge devices such as laptops, smartphones, and embedded platforms, driven by the demand for interactive, low-latency, and privacy-preserving applications. In this context, Small Language Models (SLMs) have emerged as practical candidates, yet their inference reveals inefficiencies in conventional accelerators. While GPUs and NPUs process the GEMM-heavy prefill stage efficiently, they remain underutilized during the GEMV-dominated decoding phase, resulting in limited throughput and excessive energy consumption at the edge

Efficient AI Across Edge, Near-Edge, and Cloud

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

Meet the Team

Ahmed Eltawil
Mojtaba Alshams
Jinane Bazzi

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Discover More Research Areas in the CCSL Group

Wireless Communication

Wireless Communication The CCSL advances next-generation wireless communication through a synergistic combination of theory, system design, and artificial intelligence. Our research explores digital twin frameworks for both indoor and outdoor wireless scenarios, enabling real-time system monitoring, optimization, and predictive analysis. We leverage multimodal sensing to enhance situational awareness and resilience, while reconfigurable intelligent surface (RIS)-aided localization pushes the boundaries of positioning accuracy. In integrated sensing and communication (ISAC), the lab

Body Area Network

Body Area Network Our work explores new frontiers where the human body and nature itself become powerful channels for communication. We are driven by the vision that signals can be harnessed and transformed into reliable pathways for exchanging information. By combining innovative circuit design, ultra-low-power integrated systems, and bio-inspired networking, we seek to enable technologies that go far beyond traditional wireless communication. Our research spans from the Internet of Body, where multiple biosensors can communicate seamlessly through the human body, to the Internet of Plants