147 results on '"Amrouch, Hussam"'
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2. Monolithic 3D Integration using BEOL FeFET: Reliability, Thermal Effects, and DNN Accuracy
3. Energy-efficient Computation-In-Memory Architecture using Emerging Technologies
4. Defying Temperature: Reliable Compute-in-Memory in Monolithic 3D using BEOL Ferroelectric TFT
5. Hyperdimensional Computing for Robust and Efficient Unsupervised Learning
6. Frontiers in AI Acceleration: From Approximate Computing to FeFET Monolithic 3D Integration
7. Robust Pattern Generation for Small Delay Faults Under Process Variations
8. Analysis and Characterization of Defects in FeFETs
9. Challenges in Machine Learning Techniques to Estimate Reliability from Transistors to Circuits
10. Tutorial: The Synergy of Hyperdimensional and In-memory Computing
11. ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML
12. Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units
13. Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs
14. Design Automation for Cryogenic CMOS Circuits
15. Long-Term Aging Impacts on Spatial On-Chip Power Density and Temperature
16. Modeling and Benchmarking 5nm Ferroelectric FinFET from Room Temperature down to Cryogenic Temperatures
17. 5nm FinFET Cryogenic SRAM Evaluation for Quantum Computing
18. Comprehensive Reliability Analysis of 22nm FDSOI SRAM from Device Physics to Deep Learning
19. Monolithic 3D Integrated BEOL Dual-Port Ferroelectric FET to Break the Tradeoff Between the Memory Window and the Ferroelectric Thickness
20. Reliable FeFET-based Neuromorphic Computing through Joint Modeling of Cycle-to-Cycle Variability, Device-to-Device Variability, and Domain Stochasticity
21. Characterizing BTI and HCD in 1.2V 65nm CMOS Oscillators made from Combinational Standard Cells and Processor Logic Paths
22. ML to the Rescue
23. Beyond von Neumann Era
24. Compact Ferroelectric Programmable Majority Gate for Compute-in-Memory Applications
25. Session details: Crossbars, Analog Accelerators for Neural Networks, and Neuromorphic Computing Based on Printed Electronics
26. AppGNN
27. Mitigating the Impact of Variability in NCFET-based Coupled-Oscillator Networks Applications
28. Cross-layer FeFET Reliability Modeling for Robust Hyperdimensional Computing
29. Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI
30. Joint Modeling of Multi-Domain Ferroelectric and Distributed Channel towards Unveiling the Asymmetric Abrupt DC Current Jump in Ferroelectric FET
31. Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information
32. Advanced Thermal Management using Approximate Computing and On-Chip Thermoelectric Cooling
33. A Novel Approach to Mitigate Power Side-Channel Attacks for Emerging Negative Capacitance Transistor Technology
34. Asymmetric Double-Gate Ferroelectric FET to Decouple the Tradeoff Between Thickness Scaling and Memory Window
35. Novel FDSOI-based Dynamic XNOR Logic for Ultra-Dense Highly-Efficient Computing
36. On Extracting Reliability Information from Speed Binning
37. Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization
38. HW/SW Codesign for Approximate In-Memory Computing
39. Ferroelectric FET Threshold Voltage Optimization for Reliable In-Memory Computing
40. Cleaved-Gate Ferroelectric FET for Reliable Multi-Level Cell Storage
41. Suppressing Channel Percolation in Ferroelectric FET for Reliable Neuromorphic Applications
42. Design Close to the Edge for Advanced Technology using Machine Learning and Brain-Inspired Algorithms
43. On the Channel Percolation in Ferroelectric FET Towards Proper Analog States Engineering
44. Control Variate Approximation for DNN Accelerators
45. Toward Security Closure in the Face of Reliability Effects ICCAD Special Session Paper
46. Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper
47. ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems
48. Security Closure of Physical Layouts ICCAD Special Session Paper
49. Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization
50. Positive/Negative Approximate Multipliers for DNN Accelerators
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