40 results on '"Afzali-Kusha, Ali"'
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2. LCHC-DFT: A Low-Cost High-Coverage Design-for-Testability Technique to Detect Hard-to-Detect Faults in STT-MRAMs in the Presence of Process Variations
3. An Adaptive Memory-Side Encryption Method for Improving Security and Lifetime of PCM-Based Main Memory
4. A²P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
5. LATIM: Loading-Aware Offline Training Method for Inverter-Based Memristive Neural Networks
6. Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities
7. CD-DFT: A Current-Difference Design-for-Testability to Detect Short Defects of STT-MRAM Under Process Variations
8. Loading-Aware Reliability Improvement of Ultra-Low Power Memristive Neural Networks
9. OPTIMA: An Approach for Online Management of Cache Approximation Levels in Approximate Processing Systems
10. Offline Training Improvement of Inverter-Based Memristive Neural Networks Using Inverter Voltage Characteristic Smoothing
11. Circuit-Level Techniques for Logic and Memory Blocks in Approximate Computing Systemsx
12. X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture
13. O⁴-DNN: A Hybrid DSP-LUT-Based Processing Unit With Operation Packing and Out-of-Order Execution for Efficient Realization of Convolutional Neural Networks on FPGA Devices
14. Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications
15. POLAR: A Pipelined/Overlapped FPGA-Based LSTM Accelerator
16. Res-DNN: A Residue Number System-Based DNN Accelerator Unit
17. RandShift: An Energy-Efficient Fault-Tolerant Method in Secure Nonvolatile Main Memory
18. DART: A Framework for Determining Approximation Levels in an Approximable Memory Hierarchy
19. Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications
20. OCTAN: An On-Chip Training Algorithm for Memristive Neuromorphic Circuits
21. ACHILLES: Accuracy-Aware High-Level Synthesis Considering Online Quality Management
22. TOSAM: An Energy-Efficient Truncation- and Rounding-Based Scalable Approximate Multiplier
23. A Theoretical Framework for Quality Estimation and Optimization of DSP Applications Using Low-Power Approximate Adders
24. Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures
25. Approximate Reverse Carry Propagate Adder for Energy-Efficient DSP Applications
26. RAP-CLA: A Reconfigurable Approximate Carry Look-Ahead Adder
27. PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits
28. TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip
29. An Ultra Low-Power Memristive Neuromorphic Circuit for Internet of Things Smart Sensors
30. Efficient Critical Path Identification Based on Viability Analysis Method Considering Process Variations
31. Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers
32. RoBA Multiplier: A Rounding-Based Approximate Multiplier for High-Speed yet Energy-Efficient Digital Signal Processing
33. All-Region Statistical Model for Delay Variation Based on Log-Skew-Normal Distribution
34. High-Speed and Energy-Efficient Carry Skip Adder Operating Under a Wide Range of Supply Voltage Levels
35. Low Energy yet Reliable Data Communication Scheme for Network-on-Chip
36. Dynamic Flip-Flop Conversion: A Time-Borrowing Method for Performance Improvement of Low-Power Digital Circuits Prone to Variations
37. Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip
38. Dynamic Voltage and Frequency Scheduling for Embedded Processors Considering Power/Performance Tradeoffs
39. Statistical Design Optimization of FinFET SRAM Using Back-Gate Voltage
40. Clock Delayed Domino Logic With Efficient Variable Threshold Voltage Keeper
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