Conferences – Microlab https://microlab.ntua.gr Microprocessors Laboratory & Digital Systems Laboratory Sun, 09 Mar 2025 12:46:39 +0000 en-US hourly 1 https://wordpress.org/?v=5.6.17 https://microlab.ntua.gr/wp-content/uploads/2019/04/cropped-fav-32x32.png Conferences – Microlab https://microlab.ntua.gr 32 32 throttLL’eM: Predictive GPU Throttling for Energy Efficient LLM Inference Serving https://microlab.ntua.gr/pubs/throttllem-predictive-gpu-throttling-for-energy-efficient-llm-inference-serving/ Sun, 09 Mar 2025 12:45:58 +0000 https://microlab.ntua.gr/?post_type=publications&p=6156 The post throttLL’eM: Predictive GPU Throttling for Energy Efficient LLM Inference Serving appeared first on Microlab.

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]]> Thermal Comfort Aware Online Energy Management Framework for a Smart Residential Building https://microlab.ntua.gr/pubs/thermal-comfort-aware-online-energy-management-framework-for-a-smart-residential-building/ Mon, 28 Nov 2022 14:54:22 +0000 https://microlab.ntua.gr/?post_type=publications&p=5854 The post Thermal Comfort Aware Online Energy Management Framework for a Smart Residential Building appeared first on Microlab.

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]]> SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications https://microlab.ntua.gr/pubs/sdk4ed-one-click-platform-for-energy-aware-maintainable-and-dependable-applications/ Mon, 28 Nov 2022 14:52:47 +0000 https://microlab.ntua.gr/?post_type=publications&p=5853 The post SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications appeared first on Microlab.

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]]> Designing Application Analysis Tools for Cross-Device Energy Consumption Estimation https://microlab.ntua.gr/pubs/designing-application-analysis-tools-for-cross-device-energy-consumption-estimation/ Mon, 28 Nov 2022 14:49:54 +0000 https://microlab.ntua.gr/?post_type=publications&p=5849 The post Designing Application Analysis Tools for Cross-Device Energy Consumption Estimation appeared first on Microlab.

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]]> Cross-layer approximation for printed machine learning circuits https://microlab.ntua.gr/pubs/cross-layer-approximation-for-printed-machine-learning-circuits/ Wed, 13 Jul 2022 14:22:13 +0000 https://microlab.ntua.gr/?post_type=publications&p=5767 The post Cross-layer approximation for printed machine learning circuits appeared first on Microlab.

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]]> ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic https://microlab.ntua.gr/pubs/approxqam-high-order-qam-demodulation-circuits-with-approximate-arithmetic/ Wed, 13 Jul 2022 14:15:59 +0000 https://microlab.ntua.gr/?post_type=publications&p=5761 The post ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic appeared first on Microlab.

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]]> Voltage Scaling and Guardband Customization of Multiple Constituent Components in SoC-FPGA https://microlab.ntua.gr/pubs/voltage-scaling-and-guardband-customization-of-multiple-constituent-components-in-soc-fpga/ Wed, 03 Mar 2021 19:55:42 +0000 https://microlab.ntua.gr/?post_type=publications&p=5608 The post Voltage Scaling and Guardband Customization of Multiple Constituent Components in SoC-FPGA appeared first on Microlab.

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]]> A Framework Exploiting Process Variability to Improve Energy Efficiency in FPGA Applications https://microlab.ntua.gr/pubs/a-framework-exploiting-process-variability-to-improve-energy-efficiency-in-fpga-applications/ Wed, 03 Mar 2021 19:49:19 +0000 https://microlab.ntua.gr/?post_type=publications&p=5606 The post A Framework Exploiting Process Variability to Improve Energy Efficiency in FPGA Applications appeared first on Microlab.

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]]> Memory Footprint Optimization Techniques for Machine Learning Applications in Embedded Systems https://microlab.ntua.gr/pubs/memory-footprint-optimization-techniques-for-machine-learning-applications-in-embedded-systems/ Wed, 03 Mar 2021 19:46:15 +0000 https://microlab.ntua.gr/?post_type=publications&p=5603 The post Memory Footprint Optimization Techniques for Machine Learning Applications in Embedded Systems appeared first on Microlab.

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]]> Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge https://microlab.ntua.gr/pubs/using-lstm-neural-networks-as-resource-utilization-predictors-the-case-of-training-deep-learning-models-on-the-edge/ Wed, 03 Mar 2021 19:35:44 +0000 https://microlab.ntua.gr/?post_type=publications&p=5593 The post Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge appeared first on Microlab.

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