Publications

EASTER: Learning to Split Transformers at the Edge Robustly

Prevalent large transformer models present significant computational challenges for resource-constrained devices at the Edge. While …
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ARM-CO-UP: ARM COoperative Utilization of Processors

HMPSoCs combine diferent processors on a single chip. They enable powerful embedded devices, which increasingly perform ML inference …
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Revisiting Edge AI: Opportunities and Challenges

Edge artificial intelligence (AI) is an innovative computing paradigm that aims to shift the training and inference of machine learning …
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Thermal Management for 3D-Stacked Systems via Unified Core-Memory Power Regulation

3D-stacked processor-memory systems stack memory (DRAM banks) directly on top of logic (CPU cores) using chiplet-on-chiplet packaging …
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Automated Exploration and Implementation of Distributed CNN Inference at the Edge

For model inference of Convolutional Neural Networks (CNNs), we nowadays witness a shift from the Cloud to the Edge. Unfortunately, …
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Scenario Based Run-time Switching for Adaptive CNN-based Applications at the Edge

Convolutional Neural Networks (CNNs) are biologically inspired computational models that are at the heart of many modern computer …
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Designing Convolutional Neural Networks with Constrained Evolutionary Piecemeal Training

The automated architecture search methodology for neural networks is known as Neural Architecture Search (NAS). In recent times, …
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Schedulability Analysis of Global Scheduling for Multicore Systems with Shared Caches

Shared caches in multicore processors introduce serious difficulties in providing guarantees on the real-time properties of embedded …
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Exploring Exploration: A Tutorial Introduction to Embedded Systems Design Space Exploration

As embedded systems grow more complex and as new applications such as IoT require many design constraints, sophisticated design space …
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A Hybrid Task Mapping Algorithm for Heterogeneous MPSoCs

The application workloads in modern MPSoC-based embedded systems are becoming increasingly dynamic. Different applications concurrently …
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A System-level Infrastructure for Multi-dimensional MP-SoC Design Space Co-exploration

In this article, we present a flexible and extensible system-level MP-SoC design space exploration (DSE) infrastructure, called NASA. …
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Fitness Prediction Techniques for Scenario-based Design Space Exploration

Modern embedded systems are becoming increas- ingly multifunctional. The dynamism in multifunctional embed- ded systems manifests …
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Electronic System-Level Synthesis Methodologies

With ever increasing system complexities, all major semiconductor roadmaps have identified the need for moving to higher levels of …
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Multiobjective Optimization and Evolutionary Algorithms for the Application Mapping Problem in Multiprocessor System-on-Chip Design

Sesame is a software framework that aims at devel- oping a modeling and simulation environment for the efficient de- sign space …
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A Systematic Approach to Exploring Embedded System Architectures at Multiple Abstraction Levels

The sheer complexity of today’s embedded systems forces designers to start with modeling and sim- ulating system components and their …
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Exploring Embedded-Systems Architectures with Artemis

The Artemis modeling and simulation environment aims to efficiently explore the design space of heterogeneous embedded-systems …
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