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2019

A General Framework to Map Neural Networks onto Neuromorphic Processor

Fang, H., Shrestha, A., Zhao, Z., Wang, Y. & Qiu, Q., Apr 23 2019, Proceedings of the 20th International Symposium on Quality Electronic Design, ISQED 2019. IEEE Computer Society, p. 20-25 6 p. 8697495. (Proceedings - International Symposium on Quality Electronic Design, ISQED; vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Hardware
Communication
Distributed computer systems
Parallel processing systems

A simulation framework for fast design space exploration of unmanned air system traffic management policies

Zhao, Z., Luo, C., Zhao, J., Qiu, Q., Gursoy, M. C., Caicedo Bastidas, C. E. & Basti, F., Apr 1 2019, ICNS 2019 - 2019 Integrated Communications, Navigation and Surveillance Conference: Enabling Future Flight through Evolving ICNS Technologies. Institute of Electrical and Electronics Engineers Inc., 8735348. (Integrated Communications, Navigation and Surveillance Conference, ICNS; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Aircraft
Air
Free flight
Cellular radio systems
Combinatorial optimization

Autonomous waypoints planning and trajectory generation for multi-rotor UAVs

Li, Y., Eslamiat, H., Wang, N., Zhao, Z., Sanyal, A. & Qiu, Q., Apr 15 2019, DESTION 2019 - Proceedings of the Workshop on Design Automation for CPS and IoT. Ramachandran, G. S. & Ortiz, J. (eds.). Association for Computing Machinery, Inc, p. 31-40 10 p. (DESTION 2019 - Proceedings of the Workshop on Design Automation for CPS and IoT).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Trajectory Generation
Unmanned aerial vehicles (UAV)
Rotor
Optimal Trajectory
Rotors

E-RNN: Design optimization for efficient recurrent neural networks in FPGAS

Li, Z., Ding, C., Wang, S., Wen, W., Zhuo, Y., Liu, C., Qiu, Q., Xu, W., Lin, X., Qian, X. & Wang, Y., Mar 26 2019, Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019. Institute of Electrical and Electronics Engineers Inc., p. 69-80 12 p. 8675229. (Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Field programmable gate arrays (FPGA)
Hardware
Energy efficiency
Design optimization
4 Citations (Scopus)

Reinforcement learning with analogue memristor arrays

Wang, Z., Li, C., Song, W., Rao, M., Belkin, D., Li, Y., Yan, P., Jiang, H., Lin, P., Hu, M., Strachan, J. P., Ge, N., Barnell, M., Wu, Q., Barto, A. G., Qiu, Q., Williams, R. S., Xia, Q. & Yang, J. J., Mar 1 2019, In : Nature Electronics. 2, 3, p. 115-124 10 p.

Research output: Contribution to journalArticle

Memristors
Reinforcement learning
reinforcement
learning
analogs
2018
13 Citations (Scopus)

Capacitive neural network with neuro-transistors

Wang, Z., Rao, M., Han, J. W., Zhang, J., Lin, P., Li, Y., Li, C., Song, W., Asapu, S., Midya, R., Zhuo, Y., Jiang, H., Yoon, J. H., Upadhyay, N. K., Joshi, S., Hu, M., Strachan, J. P., Barnell, M., Wu, Q., Wu, H. & 4 others, Qiu, Q., Williams, R. S., Xia, Q. & Yang, J. J., Dec 1 2018, In : Nature Communications. 9, 1, 3208.

Research output: Contribution to journalArticle

Transistors
transistors
Learning
Neural networks
Carisoprodol
20 Citations (Scopus)

C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs

Wang, S., Li, Z., Ding, C., Yuan, B., Qiu, Q., Wang, Y. & Liang, Y., Feb 15 2018, FPGA 2018 - Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. Association for Computing Machinery, Inc, Vol. 2018-February. p. 11-20 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Field programmable gate arrays (FPGA)
Energy efficiency
Data storage equipment
Long short-term memory
Fast Fourier transforms

HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks

Li, Z., Li, J., Ren, A., Cai, R., Ding, C., Qian, X., Draper, J., Yuan, B., Tang, J., Qiu, Q. & Wang, Y., Jul 3 2018, (Accepted/In press) In : IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Research output: Contribution to journalArticle

Neural networks
Hardware
Energy efficiency
Cascade connections
Deep neural networks

Learning Topics Using Semantic Locality

Zhao, Z., Pugdeethosapol, K., Lin, S., Li, Z., Ding, C., Wang, Y. & Qiu, Q., Nov 26 2018, 2018 24th International Conference on Pattern Recognition, ICPR 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-August. p. 3710-3715 6 p. 8546223

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Feature extraction
Experiments

Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor

Shrestha, A., Ahmed, K., Wang, Y., Widemann, D. P., Moody, A. T., Van Essen, B. C. & Qiu, Q., Jul 13 2018, (Accepted/In press) In : IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Research output: Contribution to journalArticle

Hardware
Networks (circuits)
Recurrent neural networks
Neurons
Neural networks

Optimizing data transfers for improved performance on shared GPUs using reinforcement learning

Luley, R. S. & Qiu, Q., Jul 13 2018, Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018. Institute of Electrical and Electronics Engineers Inc., p. 378-381 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Data transfer
Program processors
Agglomeration
Bandwidth
1 Citation (Scopus)

Scalable NoC-based Neuromorphic Hardware Learning and Inference

Fang, H., Shrestha, A., De Ma, M. & Qiu, Q., Oct 10 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 8489619

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hardware
Neural networks
Plasticity
Network-on-chip
Neurons

Towards budget-driven hardware optimization for deep convolutional neural networks using stochastic computing

Li, Z., Li, J., Ren, A., Ding, C., Draper, J., Qiu, Q., Yuan, B. & Wang, Y., Aug 7 2018, Proceedings - 2018 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2018. IEEE Computer Society, Vol. 2018-July. p. 28-33 6 p. 8429337

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Hardware
Learning systems
Mobile devices
Field programmable gate arrays (FPGA)
4 Citations (Scopus)

Towards ultra-high performance and energy efficiency of deep learning systems: An algorithm-hardware co-optimization framework

Wang, Y., Ding, C., Li, Z., Yuan, G., Liao, S., Ma, X., Yuan, B., Qian, X., Tang, J., Qiu, Q. & Lin, X., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 4235-4243 9 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy efficiency
Learning systems
Hardware
Field programmable gate arrays (FPGA)
Computational complexity
2017
24 Citations (Scopus)

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Liu, N., Li, Z., Xu, J., Xu, Z., Lin, S., Qiu, Q., Tang, J. & Wang, Y., Jul 13 2017, Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Institute of Electrical and Electronics Engineers Inc., p. 372-382 11 p. 7979983

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Resource allocation
Servers
Cloud computing
Electric power utilization
2 Citations (Scopus)

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars

Cai, R., Ren, A., Wang, Y., Soundarajan, S., Qiu, Q., Yuan, B. & Bogdan, P., Apr 19 2017, Proceedings - 29th IEEE International System on Chip Conference, SOCC 2016. IEEE Computer Society, p. 317-322 6 p. 7905500

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Memristors
Linear equations
Linear programming
Scalability
Scheduling
5 Citations (Scopus)

AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams

Chen, Q., Luley, R., Wu, Q., Bishop, M., Linderman, R. W. & Qiu, Q., Mar 17 2017, (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journalArticle

Artificial intelligence
Learning systems
Microprocessor chips
Simulators
Neural networks
3 Citations (Scopus)

A spike-based long short-term memory on a neurosynaptic processor

Shrestha, A., Ahmed, K., Wang, Y., Widemann, D. P., Moody, A. T., Van Essen, B. C. & Qiu, Q., Dec 13 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-November. p. 631-637 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neurons
Recurrent neural networks
Hardware
Learning algorithms
Energy efficiency
2 Citations (Scopus)

Assisting fuzzy offline handwriting recognition using recurrent belief propagation

Li, Y., Li, Z. & Qiu, Q., Feb 9 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 7850026

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Handwriting Recognition
Belief Propagation
Probabilistic Inference
Hidden Markov models
Neural networks
37 Citations (Scopus)

CIRCNN: Accelerating and compressing deep neural networks using block-circulant weight matrices

Ding, C., Liao, S., Wang, Y., Li, Z., Liu, N., Zhuo, Y., Wang, C., Qian, X., Bai, Y., Yuan, G., Ma, X., Zhang, Y., Tang, J., Qiu, Q., Lin, X. & Yuan, B., Oct 14 2017, MICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings. IEEE Computer Society, Vol. Part F131207. p. 395-408 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy efficiency
Application specific integrated circuits
Fast Fourier transforms
Field programmable gate arrays (FPGA)
Throughput
16 Citations (Scopus)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks

Li, J., Yuan, Z., Li, Z., Ding, C., Ren, A., Qiu, Q., Draper, J. & Wang, Y., Jun 30 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1230-1236 7 p. 7965993

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chemical activation
Neural networks
Hardware
Neurons
Application specific integrated circuits
1 Citation (Scopus)

Normalization and dropout for stochastic computing-based deep convolutional neural networks

Li, J., Yuan, Z., Li, Z., Ren, A., Ding, C., Draper, J., Nazarian, S., Qiu, Q., Yuan, B. & Wang, Y., Jan 1 2017, (Accepted/In press) In : Integration.

Research output: Contribution to journalArticle

Neural networks
Pattern recognition
Chemical activation
Hardware
Embedded systems
3 Citations (Scopus)

Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor

Chen, Q. & Qiu, Q., May 11 2017, Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017. Institute of Electrical and Electronics Engineers Inc., p. 205-207 3 p. 7926983

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hardware
Brain
Electric power utilization
Intrusion detection
Mobile devices
42 Citations (Scopus)

SC-DCNN: Highly-scalable deep convolutional neural network using stochastic computing

Ren, A., Li, Z., Ding, C., Qiu, Q., Wang, Y., Li, J., Qian, X. & Yuan, B., Apr 4 2017, ASPLOS 2017 - 22nd International Conference on Architectural Support for Programming Languages and Operating Systems. Association for Computing Machinery, Vol. Part F127193. p. 405-418 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Hardware
Scalability
Feature extraction
Energy utilization
7 Citations (Scopus)

Softmax regression design for stochastic computing based deep convolutional neural networks

Yuan, Z., Li, J., Li, Z., Ding, C., Ren, A., Yuan, B., Qiu, Q., Draper, J. & Wang, Y., May 10 2017, GLSVLSI 2017 - Proceedings of the Great Lakes Symposium on VLSI 2017. Association for Computing Machinery, Vol. Part F127756. p. 467-470 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Hardware
Experiments
4 Citations (Scopus)

Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning

Shrestha, A., Ahmed, K., Wang, Y. & Qiu, Q., Jun 30 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1999-2006 8 p. 7966096

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Unsupervised learning
Supervised learning
Neurons
Plasticity
Multilayers
13 Citations (Scopus)

Structural design optimization for deep convolutional neural networks using stochastic computing

Li, Z., Ren, A., Li, J., Qiu, Q., Yuan, B., Draper, J. & Wang, Y., May 11 2017, Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017. Institute of Electrical and Electronics Engineers Inc., p. 250-253 4 p. 7926991

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Structural design
Neural networks
Hardware
Feature extraction
Design optimization
20 Citations (Scopus)

Towards acceleration of deep convolutional neural networks using stochastic computing

Li, J., Ren, A., Li, Z., Ding, C., Yuan, B., Qiu, Q. & Wang, Y., Feb 16 2017, 2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017. Institute of Electrical and Electronics Engineers Inc., p. 115-120 6 p. 7858306

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Neurons
Application specific integrated circuits
Network performance
Network architecture
2016
14 Citations (Scopus)

Designing reconfigurable large-scale deep learning systems using stochastic computing

Ren, A., Li, Z., Wang, Y., Qiu, Q. & Yuan, B., Nov 8 2016, 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 7738685

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Neurons
Hardware
Processing
Backpropagation

Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster

Ahmed, K., Qiu, Q. & Tamhankar, M., Nov 28 2016, 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016. Institute of Electrical and Electronics Engineers Inc., 7761598

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programs
Particle accelerators
Scalability
Flexibility
Scheduling
25 Citations (Scopus)

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks

Li, Z., Ren, A., Li, J., Qiu, Q., Wang, Y. & Yuan, B., Nov 22 2016, Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016. Institute of Electrical and Electronics Engineers Inc., p. 678-681 4 p. 7753357

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Hardware
Feature extraction
Field programmable gate arrays (FPGA)
Servers
2 Citations (Scopus)

Effective utilization of CUDA hyper-Q for improved power and performance efficiency

Luley, R. S. & Qiu, Q., Aug 2 2016, Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016. IEEE Computer Society, Vol. 2016-August. p. 1160-1169 10 p. 7529999

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer hardware
Program processors
Engines
Hardware
Data storage equipment

Enhancing bidirectional association between deep image representations and loosely correlated texts

Chen, Q. & Qiu, Q., Oct 31 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 3164-3171 8 p. 7727603

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Websites
Neural networks

Guest Editorial: Design and Applications of Neuromorphic Computing System

Li, H. H., Qiu, Q. & Wang, Y., Oct 1 2016, In : IEEE Transactions on Multi-Scale Computing Systems. 2, 4, p. 223-224 2 p., 7792817.

Research output: Contribution to journalEditorial

4 Citations (Scopus)

Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor

Ahmed, K., Shrestha, A., Qiu, Q. & Wu, Q., Oct 31 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 4286-4293 8 p. 7727759

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Neurons
Energy efficiency
Brain
Costs
3 Citations (Scopus)

Simulation of Bayesian learning and inference on distributed stochastic spiking neural networks

Ahmed, K., Shrestha, A. & Qiu, Q., Oct 31 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 1044-1051 8 p. 7727313

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Neurons
Plasticity
Simulators
Image recognition
2 Citations (Scopus)

System design for in-hardware STDP learning and spiking based probablistic inference

Ahmed, K., Shrestha, A., Wang, Y. & Qiu, Q., Sep 2 2016, Proceedings - IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2016. IEEE Computer Society, Vol. 2016-September. p. 272-277 6 p. 7560209

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Plasticity
Systems analysis
Neural networks
Hardware
Neurons
8 Citations (Scopus)

Towards memristor based accelerator for sparse matrix vector multiplication

Cui, J. & Qiu, Q., Jul 29 2016, ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-July. p. 121-124 4 p. 7527185

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Memristors
Particle accelerators
Drawing (graphics)
Linear transformations
Program processors
1 Citation (Scopus)

Towards parallel implementation of associative inference for cogent confabulation

Li, Z., Qiu, Q. & Tamhankar, M., Nov 28 2016, 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016. Institute of Electrical and Electronics Engineers Inc., 7761623

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parallel Implementation
Concurrent
Processing
Probabilistic Inference
Associative Memory
2015
4 Citations (Scopus)

A Neuromorphic Architecture for Context Aware Text Image Recognition

Qiu, Q., Li, Z., Ahmed, K., Liu, W., Habib, S. F., Li, H. H. & Hu, M., Nov 4 2015, (Accepted/In press) In : Journal of Signal Processing Systems.

Research output: Contribution to journalArticle

Memristors
Image recognition
Image Recognition
Pattern matching
Context-aware

Chip multiprocessor performance modeling for contention aware task migration and frequency scaling

Shen, H. & Qiu, Q., Sep 1 2015, In : Journal of Low Power Electronics. 11, 3, p. 263-277 15 p.

Research output: Contribution to journalArticle

Consolidation
Program processors
Scheduling
Degradation
Surface mount technology
3 Citations (Scopus)

Cloning your mind: Security challenges in cognitive system designs and their solutions

Liu, B., Wu, C., Li, H., Chen, Y., Wu, Q., Barnell, M. & Qiu, Q., Jul 24 2015, Proceedings - Design Automation Conference. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. 7167279

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cognitive systems
Cognitive Systems
Cloning
System Design
Systems analysis
35 Citations (Scopus)

FPGA acceleration of recurrent neural network based language model

Li, S., Wu, C., Li, H., Li, B., Wang, Y. & Qiu, Q., Jul 15 2015, Proceedings - 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2015. Institute of Electrical and Electronics Engineers Inc., p. 111-118 8 p. 7160054

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Field programmable gate arrays (FPGA)
Scalability
Masks
Semantics
2 Citations (Scopus)

Self-structured confabulation network for fast anomaly detection and reasoning

Chen, Q., Wu, Q., Bishop, M., Linderman, R. & Qiu, Q., Sep 28 2015, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. 7280371

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Graphics processing unit
2 Citations (Scopus)

The applications of memristor devices in next-generation cortical processor designs

Li, H., Liu, B., Liu, X., Mao, M., Chen, Y., Wu, Q. & Qiu, Q., Jul 27 2015, Proceedings - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. p. 17-20 4 p. 7168559

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Memristors
Particle accelerators
Data storage equipment
Scalability
Pipelines