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Tarek M. Taha
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2020 – today
- 2024
- [j29]Nayim Rahman
, Tanvir Atahary
, Chris Yakopcic
, Tarek M. Taha, Scott Douglass:
Q-Learning Based Cognitive Domain Ontology Representation and Solving on Low Power Computing Platforms. IEEE Access 12: 131-147 (2024) - [c68]Rashedul Islam, Md. Shahanur Alam, Chris Yakopcic, Nayim Rahman, Simon Khan, Tarek M. Taha:
Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi. IJCNN 2024: 1-8 - 2023
- [j28]Yangjie Qi
, Shuo Zhang, Tarek M. Taha:
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1648-1661 (2023) - [c67]Md. Shahanur Alam
, Chris Yakopcic
, Tarek M. Taha
:
On-Chip Optimization and Deep Reinforcement Learning in Memristor Based Computing. NANOARCH 2023: 6:1-6:7 - 2022
- [c66]Md. Shahanur Alam, Chris Yakopcic, Tarek M. Taha:
Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing. IJCNN 2022: 1-8 - [c65]Alex Henderson, Chris Yakopcic, Steven Harbour, Tarek M. Taha:
Memristor Based Circuit Design for Liquid State Machine Verified with Temporal Classification. IJCNN 2022: 1-9 - [c64]Alex Henderson
, Chris Yakopcic
, Steven Harbour
, Tarek M. Taha
, Cory E. Merkel
, Hananel Hazan
:
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine. NANOARCH 2022: 10:1-10:6 - 2021
- [j27]Md. Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Inception recurrent convolutional neural network for object recognition. Mach. Vis. Appl. 32(1): 28 (2021) - [j26]Tanvir Atahary
, Tarek M. Taha, Scott Douglass:
Parallelized path-based search for constraint satisfaction in autonomous cognitive agents. J. Supercomput. 77(2): 1667-1692 (2021) - [i19]Yangjie Qi, Shuo Zhang, Tarek M. Taha:
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators. CoRR abs/2105.08239 (2021) - 2020
- [j25]Md. Zahangir Alom
, Theus H. Aspiras, Tarek M. Taha, T. J. Bowen, Vijayan K. Asari:
MitosisNet: End-to-End Mitotic Cell Detection by Multi-Task Learning. IEEE Access 8: 68695-68710 (2020) - [j24]Md. Zahangir Alom
, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Improved inception-residual convolutional neural network for object recognition. Neural Comput. Appl. 32(1): 279-293 (2020) - [j23]Chris Yakopcic
, Tarek M. Taha, David J. Mountain
, Thomas Salter, Matthew J. Marinella
, Mark R. McLean:
Memristor Model Optimization Based on Parameter Extraction From Device Characterization Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(5): 1084-1095 (2020) - [c63]Kayla Chisholm, Chris Yakopcic, Md. Shahanur Alam, Tarek M. Taha:
Multilayer Perceptron Algorithms for Network Intrusion Detection on Portable Low Power Hardware. CCWC 2020: 901-906 - [c62]Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Solving Constraint Satisfaction Problems Using the Loihi Spiking Neuromorphic Processor. DATE 2020: 1079-1084 - [c61]Md. Shahanur Alam, Chris Yakopcic, Guru Subramanyam, Tarek M. Taha:
Memristor Based Neuromorphic Network Security System Capable of Online Incremental Learning and Anomaly Detection. IGSC (Workshops) 2020: 1-8 - [c60]Yassine Jaoudi, Chris Yakopcic, Tarek M. Taha:
Conversion of an Unsupervised Anomaly Detection System to Spiking Neural Network for Car Hacking Identification. IGSC (Workshops) 2020: 1-4 - [c59]Michael Hampo, David Fan, Todd Jenkins, Ashley DeMange, Stefan Westberg, Trevor J. Bihl, Tarek M. Taha:
Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware. ICONS 2020: 5:1-5:8 - [c58]Md. Shahanur Alam, Chris Yakopcic, Guru Subramanyam, Tarek M. Taha:
Memristor Based Neuromorphic Adaptive Resonance Theory for One-Shot Online Learning and Network Intrusion Detection. ICONS 2020: 25:1-25:8 - [c57]B. Rasitha Fernando
, Yangjie Qi, Chris Yakopcic, Tarek M. Taha:
3D Memristor Crossbar Architecture for a Multicore Neuromorphic System. IJCNN 2020: 1-8 - [c56]Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Leveraging the Manycore Architecture of the Loihi Spiking Processor to Perform Quasi-Complete Constraint Satisfaction. IJCNN 2020: 1-8 - [c55]Mst Shamima Nasrin, Md. Zahangir Alom, Tarek M. Taha, Vijayan K. Asari:
PColorNet: investigating the impact of different color spaces for pathological image classification. Digital Pathology 2020: 113201A - [c54]Tarek M. Taha, Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Scott Douglass:
Cognitive Domain Ontologies: HPCs to Ultra Low Power Neuromorphic Platforms. NICE 2020: 21:1-21:3 - [i18]Md. Zahangir Alom, M. M. Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari:
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches. CoRR abs/2004.03747 (2020)
2010 – 2019
- 2019
- [j22]Md. Zahangir Alom, Chris Yakopcic, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari:
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. J. Digit. Imaging 32(4): 605-617 (2019) - [j21]Mark Edmonds
, Tanvir Atahary
, Scott Douglass, Tarek M. Taha:
Hardware Accelerated Semantic Declarative Memory Systems through CUDA and MapReduce. IEEE Trans. Parallel Distributed Syst. 30(3): 601-614 (2019) - [c53]Md. Shahanur Alam, B. Rasitha Fernando
, Yassine Jaoudi, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Guru Subramanyam:
Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly Detection. ICONS 2019: 2:1-2:8 - [c52]Chris Yakopcic, B. Rasitha Fernando
, Tarek M. Taha:
Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing. IJCNN 2019: 1-8 - [c51]Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass:
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons. IJCNN 2019: 1-8 - [i17]Md. Zahangir Alom, Theus H. Aspiras, Tarek M. Taha, Vijayan K. Asari, T. J. Bowen, Dave Billiter, Simon Arkell:
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases. CoRR abs/1904.09075 (2019) - [i16]Md. Zahangir Alom, Theus H. Aspiras, Tarek M. Taha, Vijayan K. Asari:
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks. CoRR abs/1904.11126 (2019) - [i15]Chris Yakopcic, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, Scott Douglass:
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons. CoRR abs/1906.12338 (2019) - 2018
- [j20]Md. Zahangir Alom
, Paheding Sidike
, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks. Comput. Intell. Neurosci. 2018: 6747098:1-6747098:13 (2018) - [j19]Venkata Ramesh Bontupalli, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Efficient Memristor-Based Architecture for Intrusion Detection and High-Speed Packet Classification. ACM J. Emerg. Technol. Comput. Syst. 14(4): 41:1-41:27 (2018) - [j18]Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, John Boeckl, Guru Subramanyam, Tarek M. Taha:
Filament formation in lithium niobate memristors supports neuromorphic programming capability. Neural Comput. Appl. 30(12): 3773-3779 (2018) - [j17]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Flexible memristor based neuromorphic system for implementing multi-layer neural network algorithms. Int. J. Parallel Emergent Distributed Syst. 33(4): 408-429 (2018) - [c50]Md. Zahangir Alom, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, Tarek M. Taha:
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System. IJCNN 2018: 1-8 - [c49]Md. Zahangir Alom, Adam T. Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha:
Effective Quantization Approaches for Recurrent Neural Networks. IJCNN 2018: 1-8 - [c48]Rasitha Fernando
, Raqibul Hasan, Tarek M. Taha:
Low Power Memristor Crossbar Based Winner Takes All Circuit. IJCNN 2018: 1-6 - [c47]Yangjie Qi, Raqibul Hasan, Tarek M. Taha:
Socrates-D 2.0: A Low Power High Throughput Architecture for Deep Network Training. IJCNN 2018: 1-8 - [c46]Chris Yakopcic, Tarek M. Taha:
Analysis and Design of Memristor Crossbar Based Neuromorphic Intrusion Detection Hardware. IJCNN 2018: 1-7 - [i14]Md. Zahangir Alom, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, Tarek M. Taha:
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System. CoRR abs/1802.02608 (2018) - [i13]Md. Zahangir Alom, Adam T. Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha:
Effective Quantization Approaches for Recurrent Neural Networks. CoRR abs/1802.02615 (2018) - [i12]Md. Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation. CoRR abs/1802.06955 (2018) - [i11]Md. Zahangir Alom, Tarek M. Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C. Van Essen, Abdul A. S. Awwal, Vijayan K. Asari:
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. CoRR abs/1803.01164 (2018) - [i10]Md. Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches. CoRR abs/1811.03447 (2018) - [i9]Md. Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. CoRR abs/1811.04241 (2018) - 2017
- [j16]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor crossbar based multi-layer neural networks. Microelectron. J. 66: 31-40 (2017) - [j15]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach. Neural Process. Lett. 45(2): 703-725 (2017) - [j14]Paheding Sidike, Evan Krieger, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
A fast single-image super-resolution via directional edge-guided regularized extreme learning regression. Signal Image Video Process. 11(5): 961-968 (2017) - [c45]Nayim Rahman, Chris Yakopcic, Tanvir Atahary, Raqibul Hasan, Tarek M. Taha, Scott Douglass:
Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture. CCECE 2017: 1-4 - [c44]Yangjie Qi, Raqibul Hasan, Rasitha Fernando
, Tarek M. Taha:
Socrates-D: Multicore Architecture for On-Line Learning. ICRC 2017: 1-8 - [c43]Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha:
Extremely parallel memristor crossbar architecture for convolutional neural network implementation. IJCNN 2017: 1696-1703 - [c42]Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, Guru Subramanyam, Tarek M. Taha:
Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware. IJCNN 2017: 1704-1708 - [c41]Md. Zahangir Alom, Mahbubul Alam, Tarek M. Taha, Khan M. Iftekharuddin:
Object recognition using cellular simultaneous recurrent networks and convolutional neural network. IJCNN 2017: 2873-2880 - [c40]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor based deep neural networks. IJCNN 2017: 3527-3534 - [c39]Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Cognitive domain ontologies on the TrueNorth neurosynaptic system. IJCNN 2017: 3543-3550 - [c38]Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Convolutional sparse coding on neurosynaptic cognitive system. IJCNN 2017: 3609-3616 - [c37]Md. Zahangir Alom, Tarek M. Taha:
Network intrusion detection for cyber security on neuromorphic computing system. IJCNN 2017: 3830-3837 - [c36]Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. IJCNN 2017: 3922-3929 - [c35]Raqibul Hasan, Tarek M. Taha:
Memristor crossbar based winner take all circuit design for self-organization. NCS 2017: 10:1-10:4 - [i8]Md. Zahangir Alom, Tarek M. Taha:
Robust Multi-view Pedestrian Tracking Using Neural Networks. CoRR abs/1704.06370 (2017) - [i7]Md. Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha:
Inception Recurrent Convolutional Neural Network for Object Recognition. CoRR abs/1704.07709 (2017) - [i6]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Digit Recognition Using Deep Learning. CoRR abs/1705.02680 (2017) - [i5]Md. Zahangir Alom, Paheding Sidike, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks. CoRR abs/1712.09872 (2017) - [i4]Md. Zahangir Alom, Mahmudul Hasan, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari:
Improved Inception-Residual Convolutional Neural Network for Object Recognition. CoRR abs/1712.09888 (2017) - 2016
- [j13]Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal
, Matthew J. Marinella:
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer 49(10): 56-64 (2016) - [j12]Khader Mohammad
, Ahsan Kabeer, Tarek M. Taha, Muhsen Owaida, Mahdi Washha:
Off-chip bus power minimization using serialization with cache-based encoding. Microelectron. J. 54: 138-149 (2016) - [j11]Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Parallelized mining of domain knowledge on GPGPU and Xeon Phi clusters. J. Supercomput. 72(6): 2132-2156 (2016) - [c34]Paheding Sidike, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification. CVIP (1) 2016: 409-418 - [c33]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic, David J. Mountain:
High throughput neural network based embedded streaming multicore processors. ICRC 2016: 1-8 - [c32]Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha:
Memristor crossbar deep network implementation based on a Convolutional neural network. IJCNN 2016: 963-970 - [i3]Raqibul Hasan, Tarek M. Taha, Md. Zahangir Alom:
A Reconfigurable Low Power High Throughput Streaming Architecture for Big Data Processing. CoRR abs/1603.07400 (2016) - [i2]Raqibul Hasan, Tarek M. Taha, Chris Yakopcic, David J. Mountain:
High Throughput Neural Network based Embedded Streaming Multicore Processors. CoRR abs/1606.04609 (2016) - 2015
- [j10]Md. Zahangir Alom, Venkata Ramesh Bontupalli, Tarek M. Taha:
Intrusion Detection Using Deep Belief Network and Extreme Learning Machine. Int. J. Monit. Surveillance Technol. Res. 3(2): 35-56 (2015) - [j9]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Hybrid crossbar architecture for a memristor based cache. Microelectron. J. 46(11): 1020-1032 (2015) - [c31]Md. Zahangir Alom, Paheding Sidike, Vijayan K. Asari, Tarek M. Taha:
State Preserving Extreme Learning Machine for face recognition. IJCNN 2015: 1-7 - [c30]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha:
Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms. IJCNN 2015: 1-7 - [c29]Raqibul Hasan, Chris Yakopcic, Tarek M. Taha:
Ex-situ training of dense memristor crossbar for neuromorphic applications. NANOARCH 2015: 75-81 - [c28]Tanvir Atahary, Tarek M. Taha, Fredrick Webber, Scott Douglass:
Knowledge mining for cognitive agents through path based forward checking. SNPD 2015: 5-12 - [c27]Mark Edmonds, Tanvir Atahary, Tarek M. Taha, Scott A. Douglass:
High performance declarative memory systems through MapReduce. SNPD 2015: 93-100 - 2014
- [j8]Chong Chen, Tarek M. Taha:
A communication reduction approach to iteratively solve large sparse linear systems on a GPGPU cluster. Clust. Comput. 17(2): 327-337 (2014) - [j7]Khader Mohammad
, Ahsan Kabeer, Tarek M. Taha:
On-Chip Power Minimization Using Serialization-Widening with Frequent Value Encoding. VLSI Design 2014: 801241:1-801241:14 (2014) - [c26]Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Mark R. McLean, Doug Palmer:
Efficacy of memristive crossbars for neuromorphic processors. IJCNN 2014: 15-20 - [c25]Raqibul Hasan, Tarek M. Taha:
Enabling back propagation training of memristor crossbar neuromorphic processors. IJCNN 2014: 21-28 - [c24]Raqibul Hasan, Tarek M. Taha:
Memristor Crossbar Based Programmable Interconnects. ISVLSI 2014: 94-99 - [c23]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic:
Memristor crossbar based multicore neuromorphic processors. SoCC 2014: 383-389 - [p2]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic, Mark R. McLean:
Low Power Neuromorphic Architectures to Enable Pervasive Deployment of Intrusion Detection Systems. Cybersecurity Systems for Human Cognition Augmentation 2014: 151-168 - [p1]Tanvir Atahary, Scott Douglass, Tarek M. Taha:
Hardware Accelerated Mining of Domain Knowledge. Network Science and Cybersecurity 2014: 251-271 - 2013
- [j6]Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino:
Generalized Memristive Device SPICE Model and its Application in Circuit Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(8): 1201-1214 (2013) - [c22]Raqibul Hasan, Tarek M. Taha:
Routing bandwidth model for feed forward neural networks on multicore neuromorphic architectures. IJCNN 2013: 1-8 - [c21]Tarek M. Taha, Raqibul Hasan, Chris Yakopcic, Mark R. McLean:
Exploring the design space of specialized multicore neural processors. IJCNN 2013: 1-8 - [c20]Chris Yakopcic, Tarek M. Taha:
Energy efficient perceptron pattern recognition using segmented memristor crossbar arrays. IJCNN 2013: 1-8 - [c19]Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino:
Memristor SPICE model and crossbar simulation based on devices with nanosecond switching time. IJCNN 2013: 1-7 - [c18]Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Hardware Accelerated Cognitively Enhanced Complex Event Processing Architecture. SNPD 2013: 283-288 - [i1]Chris Yakopcic, Tarek M. Taha, Guru Subramanyam:
Hybrid Crossbar Architecture for a Memristor Based Cache. CoRR abs/1302.6515 (2013) - 2011
- [c17]Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Stanley Rogers:
Multiple memristor read and write circuit for neuromorphic applications. IJCNN 2011: 2676-2682 - [c16]Kenneth L. Rice, Tarek M. Taha, Khan M. Iftekharuddin, Keith Anderson, Teddy Salan:
GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals. IJCNN 2011: 2717-2724 - [c15]Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino, Stanley Rogers:
Analysis of a memristor based 1T1M crossbar architecture. IJCNN 2011: 3243-3247 - 2010
- [j5]Pavan Yalamanchili, Sumod K. Mohan, Rommel Jalasutram, Tarek M. Taha:
Acceleration of hierarchical Bayesian network based cortical models on multicore architectures. Parallel Comput. 36(8): 449-468 (2010) - [c14]Bing Han, Tarek M. Taha:
Neuromorphic models on a GPGPU cluster. IJCNN 2010: 1-8 - [c13]Tarek M. Taha, Pavan Yalamanchili, Mohammad Ashraf Bhuiyan, Rommel Jalasutram, Chong Chen, Richard W. Linderman:
Neuromorphic algorithms on clusters of PlayStation 3s. IJCNN 2010: 1-10 - [c12]Chris Yakopcic, Eunsung Shin, Tarek M. Taha, Guru Subramanyam, P. Terrence Murray, Stanley Rogers:
Fabrication and testing of memristive devices. IJCNN 2010: 1-4
2000 – 2009
- 2009
- [j4]Christopher N. Vutsinas, Tarek M. Taha, Kenneth L. Rice:
A context switching streaming memory architecture to accelerate a neocortex model. Microprocess. Microsystems 33(2): 117-128 (2009) - [j3]Kenneth L. Rice, Tarek M. Taha, Christopher N. Vutsinas:
Scaling analysis of a neocortex inspired cognitive model on the Cray XD1. J. Supercomput. 47(1): 21-43 (2009) - [c11]Pavan Yalamanchili, Sumod K. Mohan, Tarek M. Taha:
Implementing a hierarchical Bayesian visual cortex model on multi-core processors. ACM Southeast Regional Conference 2009 - [c10]Mohammad Ashraf Bhuiyan, Rommel Jalasutram, Tarek M. Taha:
Character recognition with two spiking neural network models on multicore architectures. CIMSIVP 2009: 29-34 - [c9]Tarek M. Taha, Pavan Yalamanchili, Mohammad Ashraf Bhuiyan, Rommel Jalasutram, Sumod K. Mohan:
Parallelizing two classes of neuromorphic models on the Cell multicore architecture. IJCNN 2009: 3046-3053 - [c8]Kenneth L. Rice, Mohammad Ashraf Bhuiyan, Tarek M. Taha, Christopher N. Vutsinas, Melissa C. Smith:
FPGA Implementation of Izhikevich Spiking Neural Networks for Character Recognition. ReConFig 2009: 451-456 - 2008
- [j2]Tarek M. Taha, D. Scott Wills:
An Instruction Throughput Model of Superscalar Processors. IEEE Trans. Computers 57(3): 389-403 (2008) - [c7]Christopher N. Vutsinas, Tarek M. Taha, Kenneth L. Rice:
A neocortex model implementation on reconfigurable logic with streaming memory. IPDPS 2008: 1-8 - 2007
- [c6]Kenneth L. Rice, Christopher N. Vutsinas, Tarek M. Taha:
A preliminary investigation of a neocortex model implementation on the Cray XD1. SC 2007: 2 - 2006
- [c5]Clint W. Smullen, Tarek M. Taha:
PSATSim: an interactive graphical superscalar architecture simulator for power and performance analysis. WCAE 2006: 3 - 2005
- [c4]