fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs von Venieris, Stylianos I., Bouganis, Christos-Savvas

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Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions von Venieris, Stylianos I., Kouris, Alexandros, Bouganis, Christos-Savvas

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Deep Neural Network–based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions von Lee, Royson, Venieris, Stylianos I., Lane, Nicholas D.

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Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems von Venieris, Stylianos I., Bouganis, Christos-Savvas, Lane, Nicholas D.

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Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research von Han, Bo, Chen, Jiasi, Guo, Tian, Lee, Sung-Ju, Swaminathan, Viswanathan, Venieris, Stylianos I.

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Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation von Venieris, Stylianos I., Fernandez-Marques, Javier, Lane, Nicholas D.

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DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device von Almeida, Mario, Laskaridis, Stefanos, Venieris, Stylianos I., Leontiadis, Ilias, Lane, Nicholas D.

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Multi-Exit Semantic Segmentation Networks von Kouris, Alexandros, Venieris, Stylianos I., Laskaridis, Stefanos, Lane, Nicholas

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Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices von Bhattacharya, Sourav, Manousakas, Dionysis, Ramos, Alberto Gil C. P., Venieris, Stylianos I., Lane, Nicholas D., Mascolo, Cecilia

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Journey Towards Tiny Perceptual Super-Resolution von Lee, Royson, Dudziak, Łukasz, Abdelfattah, Mohamed, Venieris, Stylianos I., Kim, Hyeji, Wen, Hongkai, Lane, Nicholas D.

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Approximate FPGA-Based LSTMs Under Computation Time Constraints von Rizakis, Michalis, Venieris, Stylianos I., Kouris, Alexandros, Bouganis, Christos-Savvas

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MultiTASC++: A Continuously Adaptive Scheduler for Edge-Based Multi-Device Cascade Inference von Nikolaidis, Sokratis, Venieris, Stylianos I, Venieris, Iakovos S

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CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads von Panopoulos, Ioannis, Venieris, Stylianos I, Venieris, Iakovos S

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MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge von Nikolaidis, Sokratis, Venieris, Stylianos I, Venieris, Iakovos S

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Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices von Panopoulos, Ioannis, Nikolaidis, Sokratis, Venieris, Stylianos I, Venieris, Iakovos S

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Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads von Fan, Hongxiang, Venieris, Stylianos I, Kouris, Alexandros, Lane, Nicholas D

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Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation von Venieris, Stylianos I, Fernandez-Marques, Javier, Lane, Nicholas D

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NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution von Venieris, Stylianos I, Almeida, Mario, Lee, Royson, Lane, Nicholas D

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Progressive Mixed-Precision Decoding for Efficient LLM Inference von Chen, Hao Mark, Tan, Fuwen, Kouris, Alexandros, Lee, Royson, Fan, Hongxiang, Venieris, Stylianos I

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Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs von Kouris, Alexandros, Venieris, Stylianos I, Laskaridis, Stefanos, Lane, Nicholas D

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