Search Results - "2021 12th International Green and Sustainable Computing Conference (IGSC)"

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware by Gomez-Luna, Juan, El Hajj, Izzat, Fernandez, Ivan, Giannoula, Christina, Oliveira, Geraldo F., Mutlu, Onur

“…Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory…”
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Design Technology Co-Optimization for Neuromorphic Computing by Paul, Ankita, Song, Shihao, Das, Anup

“…We present a design-technology tradeoff analysis in implementing machine-learning inference on the processing cores of a Non-Volatile Memory (NVM)-based…”
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Inf4Edge: Automatic Resource-aware Generation of Energy-efficient CNN Inference Accelerator for Edge Embedded FPGAs by Jahanshahi, Ali, Sharifi, Rasool, Rezvani, Mohammadreza, Zamani, Hadi

“…Convolutional Neural Networks (CNN) have achieved great success in a large number of applications and have been among the most powerful and widely used…”
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An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks by Chandarana, Peyton, Ou, Junlin, Zand, Ramtin

“…Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This…”
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Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge by Schuman, Catherine D., Young, Steven R., Maldonado, Bryan P., Kaul, Brian C.

“…Extremely low power neuromorphic systems are well-suited for deployment to the edge for many applications. In many use cases of neuromorphic computing for…”
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Quantum Most-Significant Digit-First Addition by Li, He, Fan, Hongxiang, Liang, Jiawei

“…In recent years, quantum computers have attracted extensive research interests due to their potential capability of solving problems which are not easily…”
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Approaching the Area of Neuromorphic Computing Circuit and System Design by Zheng, Honghao, Anderson, Juliet, Yi, Yang

“…The traditional von Neumann architecture has met limitations in both computation and energy efficiency. Researchers' attention has been diverted to…”
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