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Personal profile

Education/Academic qualification

PHD, University of Maryland-College Park

… → 1990

MS, University of Maryland-College Park

… → 1986

BT, Indian Institute of Technology Kharagpur

… → 1984

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Data storage equipment Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science
Hardware Engineering & Materials Science
Electric power utilization Engineering & Materials Science
Energy utilization Engineering & Materials Science
Embedded systems Engineering & Materials Science
Throughput Engineering & Materials Science
Scheduling algorithms Engineering & Materials Science

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Research Output 1989 2019

  • 4089 Citations
  • 32 h-Index
  • 170 Conference contribution
  • 92 Article
  • 8 Chapter
  • 2 Editorial

A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors

Gupta, U., Mandal, S. K., Mao, M., Chakrabarti, C. & Ogras, U., Jan 1 2019, (Accepted/In press) In : IEEE Computer Architecture Letters.

Research output: Contribution to journalArticle

Reinforcement learning
Electric power utilization
Experiments
System-on-chip
1 Citation (Scopus)

Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations

Yin, S., Venkataramanaiah, S. K., Chen, G. K., Krishnamurthy, R., Cao, Y., Chakrabarti, C. & Seo, J., Mar 23 2018, 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-4 4 p.

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

spiking
Backpropagation
hardware
Chemical activation
activation

A Parallel RRAM Synaptic Array Architecture for Energy-Efficient Recurrent Neural Networks

Yin, S., Sun, X., Yu, S., Seo, J. & Chakrabarti, C., Dec 31 2018, Proceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018. Institute of Electrical and Electronics Engineers Inc., p. 13-18 6 p. 8598445. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation; vol. 2018-October).

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

Recurrent neural networks
XNOR
Recurrent Neural Networks
Energy Efficient
Activation

A Versatile ReRAM-based Accelerator for Convolutional Neural Networks

Mao, M., Sun, X., Peng, X., Yu, S. & Chakrabarti, C., Dec 31 2018, Proceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018. Institute of Electrical and Electronics Engineers Inc., p. 211-216 6 p. 8598372. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation; vol. 2018-October).

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

Random Access
Tile
Accelerator
Particle accelerators
Neural Networks

Configurable-ECC: Architecting a Flexible ECC Scheme to Support Different Sized Accesses in High Bandwidth Memory Systems

Chen, H. M., Lee, S. Y., Mudge, T., Wu, C-J. & Chakrabarti, C., Jan 1 2018, (Accepted/In press) In : IEEE Transactions on Computers.

Research output: Contribution to journalArticle

Error correction
Error Correction
Bandwidth
Data storage equipment
Granularity

Projects 1993 2019