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ORCIDSadasivan Shankar
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2020 – today
- 2024
[i4]Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty:
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. CoRR abs/2406.05224 (2024)- 2023
- [c3]Sadasivan Shankar
:
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining1. HPEC 2023: 1-6 - [i3]Sadasivan Shankar:
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining. CoRR abs/2310.07516 (2023) - [i2]Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik:
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641 (2023) - 2022
- [j2]Sadasivan Shankar, Richard N. Zare:
The perils of machine learning in designing new chemicals and materials. Nat. Mach. Intell. 4(4): 314-315 (2022) - [c2]Sadasivan Shankar, Albert Reuther:
Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications. HPEC 2022: 1-8 - [i1]Sadasivan Shankar, Albert Reuther:
Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications. CoRR abs/2210.17331 (2022)
2000 – 2009
- 2006
- [c1]Bryan Black, Murali Annavaram, Ned Brekelbaum, John DeVale, Lei Jiang, Gabriel H. Loh, Don McCaule, Patrick Morrow, Donald W. Nelson, Daniel Pantuso, Paul Reed, Jeff Rupley, Sadasivan Shankar, John Paul Shen, Clair Webb:
Die Stacking (3D) Microarchitecture. MICRO 2006: 469-479 - 2000
- [j1]Marc Rieffel, Mikhail Ivanov, Sadasivan Shankar, Stephen Taylor:
Concurrent Simulation of Neutral Flow in the GEC Reference Cell. Concurr. Pract. Exp. 12(1): 1-19 (2000)
Coauthor Index
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