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ORCIDICRC 2023: San Diego, CA, USA
- IEEE International Conference on Rebooting Computing, ICRC 2023, San Diego, CA, USA, December 5-6, 2023. IEEE 2023, ISBN 979-8-3503-8204-4
- Alex Ilov, Alexandru Paler:
High-Speed Compilation of Large-Scale Stochastic Circuits. 1-4 - Salonik Resch, Hüsrev Cilasun, Masoud Zabihi, Zamshed Iqbal Chowdhury, Zhengyang Zhao, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing. 1-10 - Hanjing Xu, Hayato Ushijima-Mwesigwa:
Clustering Vehicle Routing Problems on Specialized Hardware. 1-5 - Zihan Yin, Gourav Datta, Md. Abdullah-Al Kaiser, Peter A. Beerel
, Ajey P. Jacob, Akhilesh Jaiswal:
Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. 1-5 - Tristan A. Sharp, Rishabh Khare, Erick Pederson, Fabio L. Traversa:
A Memcomputing Approach to Prime Factorization. 1-10 - Chinamu Kawano, Masanori Hashimoto:
Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks. 1-5 - Xinpeng Li, Ji Liu, Ethan H. Hansen, Shuai Xu, Paul D. Hovland, Vipin Chaudhary:
Accelerating VQE Algorithm via Parameters and Measurement Reuse. 1-5 - Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter:
Arithmetic Primitives for Efficient Neuromorphic Computing. 1-5 - Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella:
Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. 1-5 - Aden Crimmins, Sonia Lopez Alarcon, Matthew Klein, Matthew Krebs, Sagar Kate:
Quantum Array Multiplier. 1-9 - David A. Quiroga, Anastasios Kyrillidis:
Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat. 1-10 - Ramil Agliamzanov, James M. Tuck:
Reducing Read Amplification and Re-synthesis in DNA-based Archival Storage. 1-5 - Isaac K. Martin, Andrew G. Moore, John T. Daly, Jess J. Meyer, Teresa M. Ranadive:
Design of General Purpose Minimal-Auxiliary Ising Machines. 1-10 - Anson Ho, Ege Erdil, Tamay Besiroglu:
Limits to the Energy Efficiency of CMOS Microprocessors. 1-10 - Pere Vergés, Tony Givargis, Alexandru Nicolau:
RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing. 1-8 - Lizy K. John, Felipe M. G. França, Subhasish Mitra, Zachary Susskind, Priscila M. V. Lima, Igor D. S. Miranda, Eugene B. John, Diego L. C. Dutra, Maurício Breternitz:
Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. 1-5 - James B. Aimone, William Severa, J. Darby Smith:
Synaptic Sampling of Neural Networks. 1-9 - Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar:
An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. 1-5 - Patrick J. Coles, Collin Szczepanski, Denis Melanson, Kaelan Donatella, Antonio J. Martinez, Faris M. Sbahi:
Thermodynamic AI and the Fluctuation Frontier. 1-10 - Ioana Moflic, Alexandru Paler:
Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits. 1-5 - Swagat Bhattacharyya, Linhao Yang, Jennifer O. Hasler:
BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures. 1-5 - Owen Hoffend, John P. Hayes:
Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits. 1-10 - Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. 1-5 - Bikrant Bhattacharyya, Gokul Subramanian Ravi:
Optimal Clifford Initial States for Ising Hamiltonians. 1-10 - Arshpreet Singh Maan, Alexandru Paler:
Testing the Accuracy of Surface Code Decoders. 1-5
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