TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| 2 | |
| 2.5D IC | |
| 2.5D ICs | |
| 2.5D Integration | |
| 2.5D/3D IC | |
| 3 | |
| 3D Architecture | |
| 3D diffusion policy | |
| 3D IC | |
| 3D integrated circuits | |
| 3D integration | |
| 3D Macro Placement | |
| 3D Memory | |
| 3D NAND Flash Memory | |
| 3D Printing | |
| 3D Reconstruction | |
| 3D Stacked Architecture | |
| 3D-stacked memory | |
| 4 | |
| 4D Gaussian Splatting | |
| 5 | |
| 5G | |
| 6 | |
| 6T-Cell | |
| A | |
| Acceleration | |
| Accelerator | |
| access point co-optimization | |
| ACIM exposure allocation | |
| ACIM-digital heterogenous accelerator | |
| Activity-Aware | |
| Adaptation | |
| Adaptive effort scheduling | |
| Adaptive Exploration | |
| Adaptive Inference | |
| adaptive mutation | |
| Adaptive Resource Orchestration | |
| admission control | |
| advance package | |
| advance packaging | |
| Advanced Packaging | |
| Agent Evolution | |
| Agentic AI | |
| Agentic EDA | |
| Agentic hardware design | |
| Agentic-AI | |
| Agile EDA Framework | |
| Aging | |
| Aging status estimation | |
| Aging Trajectory | |
| aging-aware timing | |
| AI Accelerator | |
| AI Accelerators | |
| AI Engine | |
| AI for EDA | |
| AI4EDA | |
| AIG | |
| Algorithm Discovery | |
| Algorithm Hardware Co-Design | |
| Algorithm-Based Fault Tolerance (ABFT) | |
| Algorithm-Hardware Co-Optimization | |
| Alignment-Aware Quantization | |
| Alternating Direction Method of Multipliers | |
| Alternative to PUFs | |
| Analog & Mixed-Signal Design | |
| Analog Accelerator | |
| Analog Circuit | |
| Analog circuit design automation | |
| Analog circuit sizing | |
| Analog compute-in-memory | |
| Analog design automation | |
| Analog design optimization | |
| Analog in-memory computing | |
| Analog Layout | |
| analog layout automation | |
| analog noise | |
| Analog Photonic Interposer | |
| analog placement | |
| analog-to-digital converter | |
| Analog-to-Digital Converter (ADC) | |
| Analog/Mixed-Signal Design Automation | |
| analytical placement | |
| Ancilla allocation | |
| and-inverter graph | |
| And-Inverter Graphs | |
| ANF | |
| Anomaly detection | |
| Anonymization | |
| Any-Angle PCB Routing | |
| Approximate circuits | |
| Approximate Computing | |
| Approximate Nearest-Neighbor Search | |
| Architecture & System Design | |
| Architecture Description Languages(ADL) | |
| architecture search | |
| Architecture Stealing | |
| area-energy tradeoff | |
| Arithmetic Optimization | |
| Artificial intelligence | |
| assembly order | |
| Associative search | |
| Asymmetric Numeral Systems | |
| Asynchronous NoC | |
| Attention Acceleration | |
| Attention Distillation | |
| Attention Sparsity | |
| audio-based pain detection | |
| Authentication | |
| Automated Hardware Debugging | |
| Automated RTL Code Generation | |
| Autonomous LLM | |
| AX-AGENT | |
| B | |
| Backside clock mesh | |
| backside metal | |
| backside power distribution network | |
| bandgap reference | |
| Batch normalization | |
| battery management systems | |
| Bayesian neural networks | |
| Bayesian optimization | |
| Beam-search | |
| behavioral divergence | |
| Benchmark generation | |
| Binary Attention | |
| Biochips | |
| bioinspired AI | |
| Bit-flip attack | |
| Block-scaled quantization | |
| Bottleneck analysis | |
| Budget-aware search | |
| Buffering | |
| Bump-level Dynamic IR drop prediction | |
| Burn-in test | |
| C | |
| C++ | |
| Cache | |
| cache coherence | |
| cache replacement | |
| Caching Diffusion | |
| calibration | |
| Capacity-Constrained | |
| Cascaded diffusion model | |
| cell clustering | |
| Certified machine learning | |
| CFMB | |
| CGRA | |
| Channel Estimation | |
| Channel modeling | |
| Charge-Coupled Device | |
| Chemically Amplified Resist | |
| Chip identification | |
| Chiplet | |
| chiplet placement | |
| Chiplet-based System | |
| chiplets | |
| CiM Simulator | |
| Circuit Block Diagram Parsing | |
| circuit design | |
| Circuit Simulation | |
| Circuit switching | |
| Circuit verification | |
| CKKS | |
| Clearance Constraints | |
| Clifford+T | |
| Clock Gating | |
| clock skew scheduling | |
| clock tree synthesis | |
| Clock-Aware Timing Propagation | |
| Clock-Gating | |
| CNN | |
| CNN–GNN co-design | |
| Co-optimization | |
| co-packaged optics | |
| Coarse-grained reconfigurable architectures | |
| Compact Model | |
| Compilation | |
| Compiler | |
| compiler optimization | |
| Computation-in-Memory (CIM) | |
| Computational Lithography | |
| compute near memory | |
| compute-in-memory | |
| Compute-in-memory (CiM) | |
| Compute-near-Memory | |
| Computing-in-memory | |
| Conductance based neuron model | |
| Configurable accelerator | |
| configurable accuracy | |
| Constrained many-objective optimization | |
| Constrained multi-objective optimization | |
| Constrained Optimization | |
| Constraint Learning | |
| Constraint programming | |
| Constraint solving | |
| Constraint-driven Routing | |
| Content-addressable memory | |
| Control-Flow Kernels | |
| Coordinate Rotation Digital Computer (CORDIC) ; Activation Function ; | |
| cosine aligned guidance | |
| cost | |
| Cost-aware design optimization | |
| Countermeasure | |
| CPU microarchitecture | |
| CPU-GPU co-design | |
| CPU-GPU heterogeneous acceleration | |
| CPU-GPU Orchestration | |
| Cross-corner timing prediction | |
| Cross-design knowledge transfer | |
| Cross-Family Generalization | |
| cross-family prediction | |
| cross-layer coupling | |
| cross-layer modeling | |
| Cross-module synchronization | |
| Crosstalk | |
| Cryptosystem | |
| cubes | |
| Curvilinear Mask Optimization | |
| cycle-accurate | |
| Cycle-level simulation | |
| D | |
| d2d interconnect | |
| Dataflow Optimization | |
| Datapath Graphs | |
| Datapath Optimization | |
| deadline-aware scheduling | |
| Deadlock-Avoidance | |
| Declarative hardware specification | |
| Deep learning accelerator | |
| deep learning compiler | |
| delay bound | |
| Density modeling | |
| Design Automation | |
| Design Automation Workflow | |
| Design Exploration | |
| Design for Manufacturability | |
| Design guidelines | |
| Design Retargeting | |
| Design Rule Check | |
| Design Rule Checking | |
| design space exploration | |
| Design space exploration (DSE) | |
| Design Space Exploration(DSE) | |
| Design Space Optimization | |
| Design Synthesis | |
| Design Technology Co-Optimization | |
| Design-for-manufacturing | |
| Design-space exploration | |
| detailed placement | |
| Device degradation | |
| Diagram-to-Graph Conversion | |
| die-to-die | |
| die-to-die interconnection | |
| Die-to-die routing | |
| differentiable formulation | |
| differentiable optimization | |
| differentiable simulation | |
| Differential encoding | |
| Differential Pair | |
| Differential Pair Routing | |
| Diffusion Accelerator | |
| Diffusion models | |
| diffusion policy | |
| Diffusion Transformer | |
| Digital Nonlinear Oscillator | |
| Directed Topology Reconstruction | |
| directory organization | |
| Displacement field Simulation | |
| Distribution Shaping | |
| DNN Accelerator | |
| DNN accelerator reliability | |
| DNN architecture protection | |
| DNN inference | |
| Domain-Specific ISA extension | |
| DRAM | |
| DRAM-PIM | |
| DRC Violation | |
| Dynamic graph construction | |
| dynamic IR drop prediction | |
| Dynamic Sparse Graph Management | |
| Dynamic Swap | |
| E | |
| Early-Stage Digital Bring-Up | |
| ECC | |
| EDA | |
| EDA for Emerging Technologies | |
| EDA Tool | |
| edge A | |
| Edge AI | |
| Edge AI training | |
| edge computing | |
| edge CPU-GPU systems | |
| Edge GPU | |
| edge inference | |
| Edge Intelligence | |
| Edge perception | |
| Edge-to-Edge Distance Checking | |
| EdgeAI deployment | |
| Efficient AI | |
| Efficient LLM inference | |
| Elastic Neural Networks | |
| Electromagnetic Fault Injection | |
| electromagnetic simulation | |
| Electronic Design Automation | |
| Electronic-photonic comparison | |
| electronic-photonic-thermal co-simulation | |
| Electrostatics-based placement | |
| Elmore Delay Extension | |
| Embedded Systems | |
| Embeddings | |
| Embodied AI | |
| Emerging Technologies | |
| Emerging Technology | |
| Endpoint slack prediction | |
| Energy efficiency | |
| Energy modeling | |
| Engineering Change Order | |
| Engineering Change Order (ECO) | |
| Entropy Coding | |
| entropy filtering | |
| Equality Saturation | |
| Equivalent-circuit acceleration | |
| error bounds | |
| Error budget | |
| Error Correcting Code (ECC) | |
| error modeling | |
| ESOP synthesis | |
| Etch Proximity Correction | |
| Etch Simulation Model | |
| Evolutionary algorithm | |
| executable specifications | |
| Expert Offloading | |
| External memory | |
| Extreme Edge | |
| F | |
| face-to-face 3D IC | |
| Fault Injection | |
| Fault injection attack | |
| Fault Model | |
| Fault tolerance | |
| Fault-tolerant quantum computing | |
| FeFET | |
| few-shot learning | |
| FHE | |
| Finite Difference Method | |
| Finite State Machine | |
| fixed-point arithmetic | |
| Flexible Electronics | |
| Flip Flop Design | |
| Flip-chip packages | |
| Flip-Flop | |
| Floating point format | |
| Floorplanning | |
| Folded Bit-line | |
| folded mapping | |
| formal equivalence | |
| Formal hardware verification | |
| Formal Verification | |
| FPGA | |
| FPGA acceleration | |
| FPGA accelerator | |
| FPGA LLM Acceleration | |
| FPGA neural-network acceleration | |
| FPGA placement | |
| FPGA security | |
| FPGA-based accelerator | |
| FSM extraction | |
| Functional Identifiability | |
| Functional Retrieval | |
| Fused ALU Micro-Operations | |
| Fused GEMM-ALU Execution | |
| Fuzzing | |
| G | |
| GAAFET | |
| Gate Cut | |
| Gate Reordering | |
| Gate-level | |
| Gate-level Netlists | |
| Gate-level power analysis | |
| GEMM | |
| genetic algorithm | |
| Genetic algorithms | |
| GF(2) | |
| Glitch-aware power analysis | |
| GPGPU | |
| GPU | |
| GPU acceleration | |
| GPU microarchitecture | |
| GPU Ray-Tracing Cores | |
| GPU Stall Reduction | |
| GPU Static Timing Analysis | |
| GPU-accelerated EDA | |
| GPU-Accelerated Optimization | |
| GPU-accelerated placement | |
| Gradient descent | |
| gradient-based optimization | |
| Grammar-based search space | |
| Graph Algorithms | |
| graph learning | |
| Graph Neural Network | |
| Graph Neural Networks | |
| Graph Partitioning | |
| H | |
| H-gadget | |
| Hardware | |
| hardware acceleration | |
| Hardware Accelerator | |
| hardware architecture and accelerators | |
| Hardware Description Language (HDL) | |
| Hardware Fuzzing | |
| hardware generation | |
| Hardware Model Checking | |
| Hardware noise | |
| Hardware Non-Idealities | |
| Hardware Security | |
| Hardware Trojan | |
| Hardware Verification | |
| Hardware-aware NAS | |
| hardware-software co-design | |
| Hardware–Algorithm Co-Design | |
| Harness Engineering | |
| HBM | |
| HBM address mapping | |
| HBT-aware netlist optimization | |
| Health monitoring | |
| Heterogeneous 3D ICs | |
| Heterogeneous AI accelerators | |
| Heterogeneous Architecture | |
| Heterogeneous computing | |
| Heterogeneous edge computing | |
| heterogeneous graph neural networks | |
| heterogeneous integration | |
| Heterogeneous interconnects | |
| heterogeneous scheduling | |
| Hierarchical analog IC design | |
| hierarchical edge networks | |
| High-Bandwidth Flash | |
| high-bandwidth memory | |
| high-dimensional circuits | |
| high-dimensional optimization | |
| high-frequency trading | |
| High-level synthesis | |
| High-Performance Scientific Computing | |
| High-sigma yield estimation | |
| Homomorphic Encryption | |
| HW-SW co-design | |
| Hybrid bonding | |
| Hybrid Bonding DRAM | |
| Hyperdimensional Computing | |
| hypergraph clustering | |
| Hypergraph Partitioning | |
| I | |
| IC3/PDR | |
| IGZO eDRAM | |
| ILP | |
| In Memory Computing | |
| In-memory computing | |
| In-pixel Computing | |
| inference simulation | |
| information flow tracking | |
| information-flow verification | |
| Information-theoretic modeling | |
| Instruction set simulation (ISS) | |
| Instruction Space Modeling | |
| instruction-level parallelism | |
| Interactive Routing | |
| Interconnect Delay Modeling | |
| Intermediate representation | |
| Interposer | |
| inverse design | |
| Inverters | |
| IoT inference | |
| IR drop | |
| IR-Drop Optimization | |
| Irregular-Shaped Components | |
| Ising annealer | |
| Ising Machine | |
| J | |
| joint computation--communication scheduling | |
| K | |
| Karatsuba Algorithm | |
| Key-Based | |
| Key-Value Cache | |
| Knowledge Grounding | |
| Krylov subspace methods | |
| KV Cache | |
| KV cache management | |
| KV Cache Quantization | |
| KV Cache Reduction | |
| KV Cache Scheduling | |
| KV-cache | |
| KV-cache quantization | |
| L | |
| Lab-On-a-Chip | |
| Laplace approximation | |
| Large Language Model | |
| Large language model (LLM) | |
| Large Language Model Inference | |
| Large Language Model(LLM) | |
| Large Language Models | |
| large language models (LLMs) | |
| Large Language Models for EDA | |
| Large Reasoning Model | |
| Large-bitwidth Arithmetic | |
| Large-Language-Model | |
| Latch Design | |
| latency-critical systems | |
| latency-insensitive design | |
| Layer Assignment | |
| Layout legalization | |
| Learned Image Compression | |
| Learning-guided optimization | |
| legalization | |
| Library Characterization | |
| Lightweight | |
| linear attention | |
| link unavailability | |
| Lithographic Process Window | |
| Lithography | |
| LLM | |
| LLM Agent | |
| LLM Agents for EDA | |
| LLM Decoding | |
| LLM for EDA | |
| LLM Inference | |
| LLM Inference Acceleration | |
| LLM inference accelerator | |
| LLM inference security | |
| LLM serving | |
| LLM Verilog generation | |
| LLM-assisted RTL generation | |
| LLM-aware EDA | |
| LLM-based RTL optimization | |
| Local DRC Violation Fixing | |
| local setup recovery | |
| logic optimization | |
| logic restructuring | |
| Logic Synthesis | |
| Logic Transformation | |
| LogicFolding | |
| Lookup Table | |
| LoRA | |
| Lossy Compression | |
| Low Lantency ; | |
| Low-Bit LLM Inference | |
| Low-power | |
| Low-Power Circuit Design | |
| Low-Power Optimization | |
| Low-Power Verification | |
| Low-precision inference | |
| LPDDR5 | |
| M | |
| Machine learning | |
| Machine learning Accelerator | |
| Magnetic random access memory | |
| Manhattan OPC | |
| Mapping | |
| Markov Decision Process(MDP) | |
| Mask Optimization | |
| matrix computing | |
| Matrix-vector multiplication | |
| Maxwell Electromagnetic Simulation | |
| memory barrier optimization | |
| Memory compiler | |
| memory hierarchy | |
| memory management | |
| Memory protection | |
| Memory Reliability | |
| memory scheduling | |
| Memory simulator | |
| memory technology | |
| Memory virtualization | |
| memory-augmented neural network | |
| Memory-Bandwidth Bottleneck | |
| memory-controller | |
| merger-free accumulation | |
| Mesh receiver placement | |
| micro-ring modulator | |
| Micro-scaling | |
| Microar-chitectural Stability | |
| Microarchitecture design space exploration | |
| Microcontroller | |
| Microcontrollers | |
| Microfluidics | |
| Microring Resonator | |
| Microring resonators | |
| MILP | |
| Minimal Enablement Library | |
| Minimum Translation Vector | |
| Mixed Criticality systems | |
| mixed-cell-height | |
| mixed-precision floating point quantization | |
| mixed-precision mapping | |
| Mixed-precision quantization | |
| mixed-signal circuit | |
| Mixture-of-Experts | |
| ML EDA | |
| ML-based estimation | |
| ML-Resistant | |
| MLIR | |
| MLIR Compiler Infrastructure | |
| model order reduction | |
| Modular | |
| Modular multiplication | |
| Module recognition | |
| Modulo scheduling | |
| MoE | |
| MOEA/D | |
| Monolithic 3D DRAM | |
| Monolithic 3D-Stackable DRAM | |
| Monte Carlo Tree Search | |
| Montgomery Modular multiplication | |
| Multi-Agent Design Automation | |
| multi-agent reinforcement learning | |
| Multi-agent systems | |
| Multi-FPGA system | |
| Multi-FPGA systems | |
| Multi-Input Data Conversion | |
| Multi-level routing | |
| multi-objective optimization | |
| Multi-objective reinforcement learning | |
| Multi-Operator | |
| Multi-output technology mapping | |
| multi-precision | |
| Multi-tenant FPGAs | |
| Multi-Token Prediction | |
| Multi-turn LLM Dialogue | |
| multi/many-core system | |
| Multilayer | |
| Multiple patterning lithography | |
| N | |
| Near-Storage Processing | |
| Negative Testing | |
| network calculus | |
| Network-on-Chip | |
| networks-on-chip | |
| Networks-on-chip and NoC-based system design | |
| Neural Architecture Search | |
| Neural Network | |
| neural network acceleration | |
| neural networks | |
| Neural Volume Rendering | |
| Neuro-symbolic AI | |
| Neuro-symbolic computing | |
| Neuromorphic computing | |
| Neuromorphic Hardware Mapping | |
| Neuron Partitioning | |
| NoC Simulator | |
| Noise-aware quantization | |
| Noise-aware sampling | |
| Noise-Aware Training | |
| Noise-limited design | |
| Non-commutative | |
| Non-integer mixed cell-height | |
| Non-uniform quantization | |
| Nonlinear Function Approximation | |
| nonlinear transient thermal simulation | |
| normalized weight | |
| NVM-in-cache | |
| O | |
| Obfuscated write back | |
| Obfuscation | |
| objective functions | |
| observability don't-cares | |
| offset via | |
| Offset-via | |
| on-chip cache | |
| On-chip monitoring | |
| On-Device Learning | |
| on-orbit computing | |
| Online Anomaly Detection | |
| Online Clustering | |
| Online Error Reduction | |
| Online STDP learning | |
| OPCSA | |
| Open-Set Recognition | |
| Open-source | |
| OpenAccess | |
| operational semantics | |
| Operator Network | |
| Optical neural network accelerators | |
| optical neural networks | |
| Optical Proximity Correction | |
| Optical Proximity Effect | |
| Optimization | |
| Optoelectronic interconnects | |
| Out-of-order issue | |
| P | |
| P/G TSV Planning | |
| Package routing | |
| parallel algorithms | |
| Parallel Computation | |
| parallel swap | |
| Parameter optimization | |
| Parameter Tuning | |
| Partial FHE | |
| Particle Monte Carlo | |
| Partitioning | |
| PCell | |
| PDK Cleanup | |
| Performance counters | |
| Performance Modeling | |
| Performance simulation | |
| Performance tuning | |
| Peripheral co-optimization | |
| Photonic computing | |
| Photonic inverse design | |
| Photoresist Model | |
| Physical AI | |
| Physical AI in embedded systems | |
| Physical Design | |
| physical design automation | |
| Physical unclonable function | |
| physical unclonable functions | |
| Physical verification | |
| Physical-aware optimization | |
| physical-aware synthesis | |
| Physically Unclonable Function | |
| Physics Informed Machine Learning | |
| Physics-Informed Neural Networks | |
| PIM | |
| Pipeline-aware compilation | |
| Place-and-Route | |
| Place-and-Route DRC Fixing | |
| Placement | |
| Placement and Routing | |
| placement guidance | |
| placement initialization | |
| port graph | |
| Posit format ; | |
| Post-Placement Optimization | |
| Post-placement resynthesis | |
| Post-silicon | |
| Post-Training Quantization | |
| Power Consumption | |
| power delivery network | |
| Power Dilivery network | |
| Power estimation | |
| Power integrity | |
| Power integrity analysis | |
| Power Intent (UPF) | |
| Power model | |
| Power modeling analysis and simulation | |
| Power reconstruction | |
| Power-performance-area trade-offs | |
| power-signal co-optimization | |
| Power/Ground Plane Synthesis | |
| PPA evaluation | |
| pre-fabrication benchmarking | |
| Preconditioned Iterative Solver | |
| prediction | |
| Preference-vector conditioning | |
| Preprocessing | |
| Printed Circuit Board Legalization | |
| privacy preservation | |
| Privacy-preserving machine learning | |
| process variation | |
| Processing in Memory | |
| processing in-memory (PIM) | |
| Processing near memory | |
| processing-in-memory | |
| Processing-in-memory (PIM) | |
| Processing-Near-Memory | |
| Processor | |
| Processor Fuzzing | |
| progressive computation | |
| Progressive Library Augmentation | |
| Property Decomposition | |
| property-directed reachability | |
| Pulse-width modulation | |
| PVT variations | |
| Python | |
| Python-Based Verification | |
| Q | |
| QoR Optimization | |
| QoS | |
| Quantization | |
| Quantized Neural Networks | |
| quantum arithmetic | |
| Quantum circuit optimization | |
| Quantum Circuit Partitioning | |
| quantum logarithm | |
| Quasi Delay Insensitive circuits | |
| R | |
| radiation-aware reliability | |
| Random Forest | |
| Rapid Single Flux Quantum (RSFQ) | |
| RAPL power side channel | |
| rare-event simulation | |
| RC Tree Moment Matching | |
| Read Reference Voltage | |
| Read Retry | |
| ready/valid | |
| Reconfigurable computing | |
| Reconfigurable Logic and FPGAs | |
| redistribution layers | |
| Redundant via | |
| REFSM | |
| region-adaptive search | |
| Register Transfer Level (RTL) | |
| Reinforcement Learning | |
| Relation-identity certification | |
| Reliability | |
| reliability characterization | |
| Rendering | |
| Representation Learning | |
| Request Coalescing | |
| resource analysis | |
| Resource-Aware Scheduling | |
| resource-limited verification | |
| Resubstitution | |
| Resynthesis | |
| Retrieval-Augmented Generation | |
| reverse engineering | |
| RF fingerprints | |
| RF passive synthesis | |
| RFIC | |
| Ring Oscillator | |
| RISC-V | |
| RISC-V ISA Compliance | |
| RobotCFU | |
| robotic manipulation | |
| Robotics | |
| Robust Vector Retrieval | |
| Root Cause Analysis | |
| Routability prediction | |
| routing | |
| routing-aware placement | |
| row-wise product | |
| RRAM | |
| RTL | |
| RTL Code Generation | |
| RTL generation framework | |
| RTL simulation | |
| RTL Verification and Debugging | |
| runtime reliability | |
| runtime scheduling | |
| RVV | |
| S | |
| S-parameter prediction | |
| Safety-critical system | |
| SAT generalization | |
| Scalable Architecture | |
| Scale Hyperprior Model | |
| Scheduling | |
| Scheme-Switching | |
| Scientific Computing | |
| Scientific Machine Learning | |
| Secure Reconfiguration | |
| selective protection | |
| Self-Anti-Dual | |
| self-consistency | |
| Self-Correction | |
| Self-Dual | |
| Semiconductor Process Simulation | |
| Sensing Margin | |
| Separating Axis Theorem | |
| Sequential Cell | |
| Sequential equivalence checking | |
| setup resilience | |
| sharer tracking | |
| Shortest Path | |
| side channel | |
| Side-Channel Attack | |
| signal routing | |
| silent data corruption | |
| silicon measurement-assisted fine-tuning | |
| Silicon Photonics | |
| Simulated Annealing | |
| simulation and modeling | |
| single-event upset | |
| Sizing | |
| Slew-Aware Delay-Ratio Correction | |
| slotline passive network | |
| SMT | |
| SoC Test | |
| Soft errors | |
| Software-driven Test | |
| software-hardware co-design | |
| software–hardware co-design | |
| SOT-MRAM | |
| SOT-MTJ | |
| Source-Code Analysis | |
| Source-Equivalence Retrieval | |
| Source-to-source Transformation | |
| sparse attention | |
| Sparse LU Factorization | |
| Sparse sensors | |
| Sparse thermal sensing | |
| Sparse training | |
| Sparsity | |
| specification enhancement | |
| Spectral Bias | |
| Spectral Graph Theory | |
| Spectral Placement | |
| Spectral Thermal Modeling | |
| speculative decoding | |
| Speculative decoding (SD) | |
| Speculative Prefetching | |
| speech emotion recognition | |
| speech-to-speech systems | |
| SpGEMM | |
| SPICE | |
| SPICE simulation | |
| SPICE validation | |
| Spiking Neural Network | |
| Spiking neural networks | |
| SRAM | |
| SRAM design automation | |
| SRAM optimization | |
| SSD offloading | |
| Standard Cell Library | |
| standard-cell characterization | |
| Static analysis | |
| Static IR-drop estimation | |
| static timing analysis | |
| Stationary Velocity Field | |
| Steiner Tree Construction | |
| Stochastic computing | |
| stochastic interface | |
| Storage System | |
| streaming inference | |
| Structural Topology | |
| Stuck-At-Faults | |
| Sub-resolution Assist Features | |
| Subcircuit matching | |
| subgraph construction | |
| Super-Resolution | |
| Superconducting circuit | |
| Superconducting Circuit Physical Design | |
| Superconducting SFQ circuit | |
| Supervised Learning | |
| surrogate model | |
| Surrogate modeling | |
| Symbolic operator | |
| synchronization | |
| Synopsys Design Constraints | |
| Synthesis Invariance | |
| Synthetic Layout Data Generation | |
| System Inverse Design | |
| System-level modeling | |
| System-level modeling simulation and validation | |
| Systolic Array | |
| T | |
| T-depth reduction | |
| T-par | |
| Tail-latency-aware inference | |
| Tail-Phase Robustness | |
| TCAD | |
| TDM | |
| Teardrop | |
| Technology Mapping | |
| Temperature inversion | |
| Template-based Generation | |
| tensor cores | |
| Ternary Content-Addressable Memory (TCAM) | |
| test economics | |
| test-aware | |
| Test-time scaling | |
| Thermal | |
| Thermal management | |
| Thermal Optimization | |
| Thermal Simulation | |
| thermal-aware design | |
| Thermal-Aware Optimization | |
| Thermal-aware timing robustness | |
| Thermomechanical Simulation | |
| Thick-Mask Lithography | |
| Time-Axis Splitting | |
| Time-based power analysis | |
| Time-division multiplexing | |
| Time-domain Computing | |
| timing constraints | |
| Timing ECO Flows | |
| Timing path | |
| Timing-driven placement | |
| TinyML | |
| token merging | |
| Topography Evolution | |
| Topology | |
| Topology Maintenance | |
| Topology optimization | |
| Topology Rectification | |
| Topology-Aware Compression | |
| Transformer | |
| Transformer Deployment | |
| Transient analysis | |
| Transistor Network Synthesis | |
| traveling salesman problem (TSP) | |
| Trusted Execution Environments | |
| U | |
| UCIe | |
| UCIe protocol | |
| Ultra-low power | |
| uncertainty estimation | |
| Undo/Redo | |
| Unsatisfiable Core | |
| useful skew | |
| V | |
| Vector Processor | |
| verification | |
| Verification Methodology | |
| Verification Planning | |
| Verilog | |
| Versal | |
| Virtual Channel | |
| Vision Language Model | |
| Vision Language Models | |
| Vision Transformers | |
| Vision-Language-Action Model | |
| Visual Autoregressive Model | |
| VLSI placement | |
| VTA | |
| W | |
| Wafer Defect Analysis | |
| Wafer-Bonded DRAM | |
| Waferscale | |
| Warp scheduling | |
| Warpage Analysis | |
| Warpage Simulation | |
| Waveform-based power analysis | |
| Weight Clustering | |
| Wire Connectivity Extraction | |
| Wire Cut | |
| Wire Twisting | |
| wirelength | |
| Y | |
| yield | |
| Yield estimation | |