Search Results - "Hemani, Ahmed"

Guest Editorial: Special Issue on Architectures and Design Methods for Neural Networks by Hemani, Ahmed, Shafique, Mohammed, Paul, Kolin

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Automating functional unit and register binding for synchoros CGRA platform by Pudi, Dhilleswararao, Tiwari, Utsav, Boppu, Srinivas, Yang, Yu, Hemani, Ahmed

“…Coarse-grain reconfigurable architectures, which provide high computing throughput, low cost, scalability, and energy efficiency, have grown in popularity in…”
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Integer Linear Programming-Based Simultaneous Scheduling and Binding for SiLago Framework by Pudi, Dhilleswararao, Malviya, Shivam, Boppu, Srinivas, Yang, Yu, Hemani, Ahmed, Cenkeramaddi, Linga Reddy

“…Coarse-Grained Reconfigurable Array (CGRA) architectures are potential high-performance and power-efficient platforms. However, mapping applications…”
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Optimizing BCPNN Learning Rule for Memory Access by Yang, Yu, Stathis, Dimitrios, Jordão, Rodolfo, Hemani, Ahmed, Lansner, Anders

“…Simulation of large scale biologically plausible spiking neural networks, e.g., Bayesian Confidence Propagation Neural Network (BCPNN), usually requires…”
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Mapping the BCPNN Learning Rule to a Memristor Model by Wang, Deyu, Xu, Jiawei, Stathis, Dimitrios, Zhang, Lianhao, Li, Feng, Lansner, Anders, Hemani, Ahmed, Yang, Yu, Herman, Pawel, Zou, Zhuo

“…The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human…”
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Application Level Synthesis: Creating Matrix-Matrix Multiplication Library: A Case Study by Pudi, Dhilleswararao, Yang, Yu, Stathis, Dimitrios, Kumar Prajapati, Sunil, Boppu, Srinivas, Hemani, Ahmed, Cenkeramaddi, Linga Reddy

“…Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One…”
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eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex by Stathis, Dimitrios, Sudarshan, Chirag, Yang, Yu, Jung, Matthias, Weis, Christian, Hemani, Ahmed, Lansner, Anders, Wehn, Norbert

“…The Artificial Neural Networks (ANNs), like CNN/DNN and LSTM, are not biologically plausible. Despite their initial success, they cannot attain the cognitive…”
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DUDE: Decryption, Unpacking, Deobfuscation, and Endian Conversion Framework for Embedded Devices Firmware by Abbas, Haider, Shahzad, Muhammad, Safdar, Maliha, Hemani, Ahmed

“…Commercial-Off-The-Shelf (COTS) embedded devices rely on vendor-specific firmware to perform essential tasks. These firmware have been under active analysis by…”
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Guest Editorial: Special Issue on Architectures and Design Methods for Neural Networks by Hemani, Ahmed, Shafique, Mohammed, Paul, Kolin

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Reducing the Configuration Overhead of the Distributed Two-level Control System by Yang, Yu, Stathis, Dimitrios, Hemani, Ahmed

“…With the growing demand for more efficient hardware accelerators for streaming applications, a novel Coarse-Grained Reconfigurable Architecture (CGRA) that…”
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Scalable Multi-FPGA HPC Architecture for Associative Memory System by Wang, Deyu, Yan, Xiaoze, Yang, Yu, Stathis, Dimitrios, Hemani, Ahmed, Lansner, Anders, Xu, Jiawei, Zheng, Li-Rong, Zou, Zhuo

“…Associative memory is a cornerstone of cognitive intelligence within the human brain. The Bayesian confidence propagation neural network (BCPNN), a…”
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PCSS: Privacy Preserving Communication Scheme for SDN Enabled Smart Homes by Iqbal, Waseem, Abbas, Haider, Rauf, Bilal, Bangash, Yawar Abbas, Amjad, Muhammad Faisal, Hemani, Ahmed

“…Smart home technology, also known as home automation system, allows the homeowner and residents to control and monitor the smart devices like heating,…”
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Clock tree generation by abutment in synchoros VLSI design by Stathis, Dimitrios, Chaourani, Panagiotis, Jafri, Syed M.A.H., Hemani, Ahmed

“…Synchoros VLSI design style has been proposed as an alternative to standard cell-based design. Standard cells are replaced by synchoros, large grain, VLSI…”
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Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning by Xu, Jiawei, Zheng, Yi, Li, Feng, Stathis, Dimitrios, Shen, Ruisi, Chu, Haoming, Lansner, Anders, Zheng, Li-Rong, Zou, Zhuo, Hemani, Ahmed

“…Evaluating the computational accuracy of Spiking Neural Network (SNN) implemented as in-situ learning on large-scale memristor crossbars remains a challenge…”
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A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning by Wang, Deyu, Xu, Jiawei, Li, Feng, Zhang, Lianhao, Cao, Chengwei, Stathis, Dimitrios, Lansner, Anders, Hemani, Ahmed, Zheng, Li-Rong, Zou, Zhuo

“…The memristor has been extensively used to facilitate the synaptic online learning of brain-inspired spiking neural networks (SNNs). However, the current…”
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Configurable FFT Processor Using Dynamically Reconfigurable Resource Arrays by Shami, Muhammad Ali, Tajammul, Muhammad Adeel, Hemani, Ahmed

“…This paper presents results of using a Coarse Grain Reconfigurable Architecture called DRRA (Dynamically Reconfigurable Resource Array) for FFT implementations…”
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Quality-of-service-aware adaptation scheme for multi-core protocol processing architecture by Badawi, Mohammad, Lu, Zhonghai, Hemani, Ahmed

“…Employing adaptable protocol processing architectures has shown a high potential in provisioning Quality-of-Service (QoS) while retaining efficient use of…”
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NACU: A Non-Linear Arithmetic Unit for Neural Networks by Baccelli, Guido, Stathis, Dimitrios, Hemani, Ahmed, Martina, Maurizio

“…Reconfigurable architectures targeting neural networks are an attractive option. They allow multiple neural networks of different types to be hosted on the…”
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DRRA-based Reconfigurable Architecture for Mixed-Radix FFT by Kallapu, Reeshita, Stathis, Dimitrios, Boppu, Srinivas, Hemani, Ahmed

“…Fast-Fourier Transform is an important algorithm which is used in digital signal processing and communication applications. Furthermore, mixed-radix FFT…”
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Addressing dynamic issues in information security management by Abbas, Haider, Magnusson, Christer, Yngstrom, Louise, Hemani, Ahmed

“…Purpose - The purpose of this paper is to address three main problems resulting from uncertainty in information security management: dynamically changing…”
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