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ORCID13th IGSC 2022: Pittsburgh, PA, USA
- 13th IEEE International Green and Sustainable Computing Conference, IGSC 2022, Pittsburgh, PA, USA, October 24-25, 2022. IEEE 2022, ISBN 978-1-6654-6550-2
- Saad Saleh
, Anouk S. Goossens, Tamalika Banerjee, Boris Koldehofe:
Towards Energy Efficient Memristor-based TCAM for Match-Action Processing. 1-4 - Daniel Curtis Wilson, Asma H. Al-Rawi, Lowren H. Lawson, Siddhartha Jana, Federico Ardanaz, Jonathan M. Eastep, Ayse K. Coskun:
Guiding Hardware-Driven Turbo with Application Performance Awareness. 1-8 - Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand:
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. 1-7 - Seyedeh Newsha Estiri, Amir Hossein Jalilvand, Samaneh Naderi, M. Hassan Najafi, Mahdi Fazeli:
A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction. 1-6 - Mini Zeng:
A Review of Smart Buildings Protocol and Systems with a Consideration of Security and Energy Awareness. 1-6 - Julita Corbalán, Lluis Alonso, Carmen B. Navarrete, Carla Guillén:
Soft Cluster Powercap at SuperMUC-NG with EAR. 1-8 - Alberto Dequino, Francesco Conti, Luca Benini:
ViT-LR: Pushing the Envelope for Transformer-Based on-Device Embedded Continual Learning. 1-6 - Igor Fontana De Nardin, Patricia Stolf, Stéphane Caux:
Evaluation of Heuristics to Manage a Data Center Under Power Constraints. 1-8 - Md. Erfanul Haque Rafi, Apan Qasem:
Optimal Launch Bound Selection in CPU-GPU Hybrid Graph Applications with Deep Learning. 1-7 - Keiichiro Fukazawa, Jiacheng Zhou, Hiroshi Nakashima:
Energy Aware Scheduler of Single/Multi-Node Jobs Considering CPU Node Heterogeneity. 1-9 - Wenkai Guan, Cristinel Ababei:
Unified Cross-Layer Cluster-Node Scheduling for Heterogeneous Datacenters. 1-8 - Maria Patrou, Kenneth B. Kent, Joran Siu, Michael Dawson:
Optimizing Energy Efficiency of Node.js Applications with CPU DVFS Awareness. 1-8 - Brandon Hong, Ethan Thomason, Aditya M. Deshpande:
Electrical Commissioning Owner's Project Requirements: A Template. 1-5 - Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno:
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. 1-6 - Emily Lattanzio, Ranyang Zhou, Arman Roohi, Abdallah Khreishah, Durga Misra, Shaahin Angizi:
Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators. 1-6 - Wenkai Guan, Cristinel Ababei:
Less is More: Learning Simplicity in Datacenter Scheduling. 1-6 - Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. 1-6 - Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich:
MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks. 1-8 - Mahipal Singh, Sriram Sankaran:
Energy-Performance-Security Trade-off in Mobile Edge Computing. 1-6 - Md. Erfanul Haque Rafi, Kaylee Williams, Apan Qasem:
Raptor: Mitigating CPU-GPU False Sharing Under Unified Memory Systems. 1-8 - Cesar Castellon, Swapnoneel Roy, O. Patrick Kreidl, Ayan Dutta, Ladislau Bölöni:
Towards an Energy-Efficient Hash-based Message Authentication Code (HMAC). 1-7
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