top of page

Key Publications

LUCENT Findings

Screenshot 2024-04-03 at 8.11.30 PM.png

D Dang, B Lin, D Sahoo, "LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning", to appear in European Network in High Performance and Embedded Architecture and Compilation (HiPEAC) 2023

​

D Dang, B Lin, D Sahoo, "LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning", to appear in European Network in High Performance and Embedded Architecture and Compilation (HiPEAC) 2023.

  1. D Dang, A Khansama, R Mahapatra, D Sahoo, "Aging-aware memristor for reliable and energy-efficient Deep Learning Acceleration", accepted to be presented at IEEE/ACM Design Automation Conference (DAC) 2022. 

  1. S A Hasnain, D Dang, D Sahoo, R Mahapatra, "Multilayer photonic reservoir computing architecture using time division multiplexing for parallel computation", accepted to SPIE/COS Photonics Asia 2020.

  1. D Dang, S Taheri, B Lin, D Sahoo, "MEMTONIC: A Neuromorphic LSTM Accelerator for Energy Efficient Recurrent Learning", accepted to IEEE/ACM Design Automation Conference (DAC) 2020. 

  1. D Dang, A Khansama, R Mahapatra, D Sahoo, "BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning", accepted to appear in ACM/SIGDA GLSVLSI 2020.

  1. S Taheri, D Dang, D Sahoo, " A Novel Formal Method to Discover Cancer biomarkers ", accepted to be presented in IEEE/ACM FMCAD 2019.

  1. D Dang, S A Hasnain, R Mahapatra, "MReC: A Multilayer Photonic Reservoir Computing Architecture ", accepted to be published in IEEE ISQED 2019.

  1. D Dang, K Swaminathan, S A Hassnain, R Mahapatra, "Multilayer Photonic Reservoir Computing for Large-scale Information Processing", WIP acceptance in IEEE/ACM Design Automation Conf. (DAC) 2018

  1. D Dang, J Dass, R Mahapatra, "ConvLight: A Convolutional Neural Network Accelerator with Neuromorphic Photonic-based Computing", in the Proc. IEEE Intl. Conf. on High-Performance Computing & Data Analytics (HiPC) 2017, Jaipur (India). [Acceptance rate: 23%] [PDF] [PPT]

  1. D Dang, SVR Chittamuru, R Mahapatra, S Pasricha, "Islands of heaters: A Novel Thermal Management Framework for Photonic NoCs", in the Proc. ACM/SIGDA Asia-Pacific Design Automation Conf. (ASP-DAC), 2017, Chiba (Japan). [Acceptance rate: 30%] [PDF] [PPT]

  1. D Dang, P Biswas, H Walker, R Mahapatra, "Fault-tolerant Photonic Router for Network-on-Chip with High Reliability ", IEEE Intl. Test Conf (ITC) 2016, Fort Worth (TX), USA. [PDF] [PPT]

  1. D Dang, R Mahapatra, E J Kim, "PID Controlled Thermal Management in Photonic Network-on-Chip", in the Proc. IEEE Intl. Conf. Computer Design (ICCD) 2015, NYC (USA). [Acceptance rate: 30%] [PDF] [PPT]

  1. D Dang, B Patra, R Mahapatra, "Multilayer Design Approach for 3D Photonic Network-on-Chip”, in the Proc. IEEE/ACM Great Lake Symposium in VLSI (GLSVLSI) 2015, Pittsburg, USA. [Acceptance rate: 13% for long paper] [PDF] [PPT}

D Dang, B Patra, R Mahapatra, “2 Layer Laser Multiplexed Photonic Network-on-Chip”, in the Proc. IEEE Intl Symposium in Quality Electronic Design (ISQED) 2015, Santa Clara, CA, USA. [Acceptance rate: 30%] [PDF]

D Dang, B Patra, R Mahapatra, M Fiers, “Mode-division-multiplexed Photonic Router for High Performance Network-on-Chip”, in the Proc. IEEE Intl Conf. in VLSI Design (VLSID) 2015, Bangalore, India. [Acceptance rate: 23%] [PDF] [PPT]

  1. D Dang, T K Patra, "Smart Crop Protection System", in the Proc. Intl. Conf. Electronic System (ICES) 2011, NIT Rourkela (Odisha), India.  [PDF]

  1. P Ghosh; S Sinha, G D. Katkar, D T Vo, S Taheri, D Dang, S Das, and D Sahoo, "Machine Learning Identifies Signatures of Macrophage Reactivity and Tolerance that Predict Disease Outcomes", In BiorXiv, https://doi.org/10.1101/2022.06.27.497783 

  1. D Dang, S Taheri, S Das, L A Prince, P Ghosh, D Sahoo, "Computational approach to identifying universal macrophage biomarker", In BiorXiv, https://doi.org/10.1101/807347 

  1. D Dang, R Mahapatra, "Time-shared Photonic Reservoir Computing", arXiv:1703.08211

  1. Pradipta Ghosh, Saptarshi Sinha, Gajanan D Katkar, Daniella Vo, Sahar Taheri, Dharanidhar Dang, Soumita Das, Debashis Sahoo, "Machine learning identifies signatures of macrophage reactivity and tolerance that predict disease outcomes", EBioMedicine, Vol.94. 

  1. D Dang, B Lin, D Sahoo, "LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning", to appear in ACM Transactions on Architecture & Code Optimization (TACO) 2022. `

Gajanan Dattatray Katkar, Ibrahim Sayed, Mahitha Shree Anandachar, Vanessa Castillo, Eleadah Vidales, Daniel Toobian, Fatima Usmani, Sahar Taheri, Dharanidhar Dang, Joseph Sawires, Geoffray Leriche, Jerry Yang, William Sandborn, Soumita Das, Debashis Sahoo and Pradipta Ghosh, "AI-guided use of balanced peroxisome proliferator-activated receptor a/g dual agonist finetunes macrophage responses in inflammatory bowel disease", in the Journal of Immunology", J Immunol May 1, 2021, 206 (1 Supplement) 109.01;

  1. D Dang, S V R Chittamuru, S Pasricha, R Mahapatra, D Sahoo, "BpLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning", in ACM Journal on Emerging Technologies in Computing Systems (JETC) 2020. 

  1. D Dang, L A Prince, D Sahoo, "Computational approach to identifying universal macrophage biomarker", May 1, 2020, 204 (1 Supplement) 149.21. 

  1. D Sahoo, L S. Zaramela, G E. Hernandez, U Mai, S Taheri, D Dang, A N. Stouch, R M. Medal, A M. McCoy, J L. Aschner, T S. Blackwell, K Zengler & L S. Prince, "Transcriptional profiling of lung macrophages identifies a predictive signature for inflammatory lung disease in preterm infants", in Nature Communications Biology.

  1. D Dang, S Taheri, S Das, P Ghosh, L S Prince, D Sahoo, "Computational approach to identifying universal macrophage biomarker", in Frontiers Physiology.

  1. SVR Chittamuru*, D Dang*, S Pasricha, R Mahapatra, "BiGNoC: Accelerating Big Data Computing with Application-Specific Photonic Network-on-Chip Architectures ", in IEEE Trans. Parallel & Distributed Systems (TPDS) (* means primary authors) 

  1. D Dang, A Khansama, R Mahapatra, B Lin, D Sahoo, "Aging-aware Training Scheme for Reliable Memristor Deep Learning Accelerator Design" [63313253 ]. Patent pending!

  1. A Zhu, L Song, D Dang, C Hong, D Niu, R Mahapatra, "All-optical binary comparator with high extinction ratio and high contrast ratio based on two-photon absorption effect", Optics Express (Submitted).

  1. D Dang, SVR Chittamuru, R Mahapatra, S Pasricha, "Cross-layer Adaptive Thermal Management in Photonic NoCs", to be submitted to IEEE Trans. Design & Test.

  1. D Dang, J Dass, R Mahapatra, "Neuromorphic Deep Learning Accelerator using Silicon Photonic Computing", to be submitted to IEEE Trans. Circuits & Systems (TCAS).

bottom of page