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Debashis Sahoo
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Publications
- 2022
- [j6]Dharanidhar Dang, Bill Lin, Debashis Sahoo:
LiteCON: An All-photonic Neuromorphic Accelerator for Energy-efficient Deep Learning. ACM Trans. Archit. Code Optim. 19(3): 43:1-43:22 (2022) - [i3]Dharanidhar Dang, Bill Lin, Debashis Sahoo:
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint). CoRR abs/2206.13861 (2022) - [i2]Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo:
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR abs/2208.03500 (2022) - 2021
- [j4]Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 17(4): 49:1-49:26 (2021) - [i1]Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning. CoRR abs/2102.10140 (2021) - 2020
- [c14]Dharanidhar Dang, Sahar Taheri, Bill Lin, Debashis Sahoo:
MEMTONIC: A Neuromorphic Accelerator for Energy Efficient Deep Learning. DAC 2020: 1-2 - [c13]Dharanidhar Dang, Aurosmita Khansama, Rabi N. Mahapatra, Debashis Sahoo:
BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning. ACM Great Lakes Symposium on VLSI 2020: 27-32 - 2012
- [j3]Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin, Philip Levy Ho, Chad Tang, Antonina V. Kurtova, Stephen B. Willingham, Senthil K. Pazhanisamy, Humberto Contreras-Trujillo, Theresa A. Storm, Yair Lotan, Andrew H. Beck, Benjamin I. Chung, Ash A. Alizadeh, Guilherme Godoy, Seth P. Lerner, Matt van de Rijn, Linda D. Shortliffe, Irving L. Weissman, Keith S. Chan:
Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proc. Natl. Acad. Sci. USA 109(6): 2078-2083 (2012) - [c11]Jens-Peter Volkmer, Debashis Sahoo, Robert K. Chin:
Systems biology approach to identify markers of differentiation in bladder cancer. BCB 2012: 509 - 2010
- [j2]Debashis Sahoo, Jun Seita, Deepta Bhattacharya, Matthew A. Inlay, Irving L. Weissman, Sylvia K. Plevritis, David L. Dill:
MiDReG: A method of mining developmentally regulated genes using Boolean implications. Proc. Natl. Acad. Sci. USA 107(13): 5732-5737 (2010) - 2006
- [j1]Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain:
On partitioning and symbolic model checking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(5): 780-788 (2006) - 2005
- [c10]Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, Takeshi Shimizu:
Verification of Industrial Designs Using A Computing Grid With More than 100 Nodes. Asian Test Symposium 2005: 460 - [c9]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill:
A New Reachability Algorithm for Symmetric Multi-processor Architecture. ATVA 2005: 26-38 - [c8]Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad, Debashis Sahoo, Thomas Sidle:
Error Detection Using BMC in a Parallel Environment. CHARME 2005: 354-358 - [c7]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson:
Predictive Reachability Using a Sample-Based Approach. CHARME 2005: 388-392 - [c6]Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer, David L. Dill, E. Allen Emerson:
Multi-threaded reachability. DAC 2005: 467-470 - [c5]Subramanian K. Iyer, Debashis Sahoo, E. Allen Emerson, Jawahar Jain:
On Partitioning and Symbolic Model Checking. FM 2005: 497-511 - [c4]Subramanian K. Iyer, Jawahar Jain, Debashis Sahoo, E. Allen Emerson:
Under-approximation Heuristics for Grid-based Bounded Model Checking. PDMC@ICALP 2005: 31-46 - 2004
- [c3]Debashis Sahoo, Subramanian K. Iyer, Jawahar Jain, Christian Stangier, Amit Narayan, David L. Dill, E. Allen Emerson:
A Partitioning Methodology for BDD-Based Verification. FMCAD 2004: 399-413 - 2003
- [c2]Subramanian K. Iyer, Debashis Sahoo, Christian Stangier, Amit Narayan, Jawahar Jain:
Improved Symbolic Verification Using Partitioning Techniques. CHARME 2003: 410-424
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