The overarching research goal of eLab is to design, model, and optimize energy-efficient computing systems that connect emerging applications with advanced hardware platforms. Our research spans computer architecture, embedded systems, design automation, machine learning systems, wearable sensing, and human-centered computing. Across these areas, we develop cross-layer methodologies that jointly consider applications, algorithms, architectures, interconnects, power delivery, thermal constraints, and runtime management.
A major focus of our current research is heterogeneous and chiplet-based computing. As computing systems move beyond monolithic chips toward 2.5D/3D integration, chiplets, domain-specific accelerators, and network-on-interposer architectures, new challenges arise in communication, power delivery, thermal behavior, workload mapping, and design-space exploration. eLab develops modeling, simulation, and optimization frameworks to guide the design of scalable, efficient, and reliable heterogeneous architectures.
Our work also advances energy-efficient AI and embedded computing systems, including domain-specific SoCs, AI accelerators, processing-in-memory architectures, runtime scheduling, power and thermal modeling, and communication-centric architecture design. We are particularly interested in efficient acceleration of large language models, hybrid Transformer–state-space models, mixture-of-experts models, and edge AI workloads.
In parallel, eLab continues its long-standing work in wearable, flexible, and human-centered systems. The OpenHealth project provides an open-source hardware/software platform for wearable health monitoring and embedded sensing research. Our Flexible Hybrid Electronics project develops methodologies and tools for Systems-on-Polymer: fully integrated flexible electronic systems capable of sensing, computing, and communication. Our Human-Machine Communication project studies wearable and embedded interfaces that help users convey their intent to smart objects, assistive devices, and internet-of-things systems.
Together, these directions support eLab’s broader mission: advancing energy-efficient, intelligent, and human-centered computing systems through cross-layer design, open-source tools, reproducible research artifacts, and education.
Research Funding: We thank the following agencies and companies for their generous support of our research.
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We also thank Intel, Altera University Programs and Texas Instruments for their equipment donations. |
The application domains we target, and cross-cutting theory and design technologies employed at eLab are summarized below.
| Smart phone ICs | Server and data centers for cloud computing | Personal e-health ICs |
| Low-power, heterogeneous embedded systems |
Many integrated core architectures for HPC | Flexible electronics |
| Energy Efficient VLSI Design |
High Performance VLSI Design |
SoC/Circuit Solutions for Innovative Systems |
| Digital System Design | Network Theory | VLSI Design | Control Theory | Algorithms |
Please contact uogras@wisc.edu for latest information.