Publications
[SAT'23] Anshujit Sharma, et al., "Combining Cubic Dynamical Solvers with Make/Break Heuristics to Solve SAT", in International Conference on Theory and Applications of Satisfiability Testing (SAT) 2023.
https://drops.dagstuhl.de/opus/volltexte/2023/18487/[arXiv'23] Anshujit Sharma, et al. "Augmented Electronic Ising Machine as an Effective SAT Solver", 2023.
https://doi.org/10.48550/arXiv.2305.01623[AAAI'23] Zhenyu Pan, Anshujit Sharma, et al. "Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty", in Proceedings of the AAAI Conference on Artificial Intelligence 2023, 37(8), 9354-9363. https://doi.org/10.1609/aaai.v37i8.26121
[DAC'23] Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, et al. "Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning", in Design Automation Conference, San Francisco, CA, USA, July 9-13, 2023 - Accepted
[ISCA'22] Anshujit Sharma, et al. "Increasing ising machine capacity with multi-chip architectures", in Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA'22). Association for Computing Machinery, New York, NY, USA, 508–521. https://doi.org/10.1145/3470496.3527414
[Patent'22] Anshujit Sharma, et al. "Systems, methods, and devices for discarding inactive intermediate render targets", 2022 US Patent https://patentimages.storage.googleapis.com/2f/7c/4f/e4ead40c627feb/US20220083473A1.pdf
[NAS'22] Anshujit Sharma, et al. "Irrelevant Data Traffic in Modern Low Power GPU Architectures", in 2022 IEEE International Conference on Networking, Architecture and Storage (NAS).
https://doi.org/10.1109/NAS55553.2022.9925321[ICCAD'22] Yiqiao Zhang, Uday Kumar Reddy Vengalam, Anshujit Sharma, et al. "QuBRIM: A CMOS Compatible Resistively-Coupled Ising Machine with Quantized Nodal Interactions", in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD'22).
https://doi.org/10.1145/3508352.3549443[ISPASS'22] Uday Kumar Reddy Vengalam, Anshujit Sharma, et al. "LoopIn: A Loop-Based Simulation Sampling Mechanism," in 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2022, pp. 224-226, https://doi.org/10.1109/ISPASS55109.2022.00029.
[WOCN'17] Kodur Krishna Chaitanya, Anshujit Sharma, et al. “Android Mobile App Development of Neural Networks for Performance Parameters Computation of Microstrip Antennas”, in 2017 14th IEEE International Conference on Wireless and Optical Communication Networks (WOCN), DOI: 10.1109/WOCN.2017.8065856.