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Networking, Work-in-Progress Poster: Monday Work-in-Progress Poster Reception
Presentations
A Novel Multi-Node-Upset Recoverability Verification Method with Generalized Model for Radiation-Hardened Latches
A Novel Power-gradient-aware Cell Placement Methodology Considering 3D-IC Stacking Thermal Boundary to Achieve Timing and Thermal Co-optimization
A PCA and KDE Based Approach for Statistical CMOS Compact Model Parameter Generation
Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action
Addressing Sequential Constraints in Zoned Storage with Collective Log-Structured File System
ADEM: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow and Efficient Merging
Advanced Detection of Hardware Trojans in Post-Layout ICs: A GDSII-Focused Methodology
An Efficient Wear-Leveling-Aware Parallel Allocator for Multiple Persistent Memory File Systems
An Experience Sharing: A Panoramic-Vision Lesion-Finding Low-Power Wireless Endoscopic System Design and Implementation
Analytical Optimization for Robust and Efficient Analog IC Design Automation
Analytical Warpage-aware Multi-die Floorplanning for Advanced Package Designs
Boolean Reasoning Guided Ungrouping
CarbonEDA: Carbon-Aware Electronic Design Automation for Integrated Circuits
CD2A: Continuous Device-to-Device Authentication Exploiting Crystal Oscillator Impurities
CIRCUITSYNTH-RL: LLM-Based Circuit Topology Synthesis with RL Refinement
ConNAS4ML: Constraint-Aware Differentiable Neural Architecture Search for Efficient FPGA Deployment
CPCRFUZZ:Critical Path and Control Register Directed Fuzzing for Hardware Vulnerability
Crosstalk-Aware Mapping for Optical Neural Networks
A Highly Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator
DiReC: Enhancing VHDL Code Generation and Summarization with Divide-Retrieve-Conquer Strategy
dyGRASS: Dynamic Spectral Graph Sparsification via Localized Random Walks on GPUs
Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference
Efficient Edge AI Learning with Equilibrium Propagation: A Practical Solution For Gradient Computation
eMamba: Efficient Acceleration of Mamba Models for Edge Computing
Enhancing LLMs for HDL Code Optimization using Domain Knowledge Injection
A Tensor-Train Decomposition Compressed LLMs on Group Vector Systolic Accelerator
An Innovative Memory Design with Internal ECC Functionality Based on In-Memory Computing
Black-box Auto-Tuning for Customized SSD Firmware Parameters under Constraints
CLEAR-HD: Computationally Light and Effective Unlearning for Hyperdimensional Computing
Compact Thermal Model-Based Analytical 3D Chip Placement with GPU Acceleration
Computing-In-Memory Dataflow for Minimal Buffer Traffic
DAPO: Design Structure Aware Pass Ordering in High-Level Synthesis with Graph Contrastive and Reinforcement Learning
Dead Gate Elimination
Directed on-the-fly Validation of Hierarchical Cache Coherence Protocols
Edge Continual Learning with Mixed-Signal Gaussian Mixture-based Bayesian Neural Networks
Efficient Runtime Management of Crossbars for Path-based In-Memory Computing
EvoSolo: Evolutionary Sequence Optimization for Logic Synthesis with Cascaded PPO
FARM: Fast Acceleration of Random forests via in-Memory processing
FAxC: Exploiting Feature Approximation for Privacy Preservation in Human Activity Recognition
Fast random walk through reduction of absorbing Markov chain
FuncFormer: Circuit Representation Learning via the Flow of Functional Propagation
Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
GTA: An Instruction-Driven Graph Tensor Accelerator for General GNNs
Guard Ring- and Diffusion-Sharing Embedded FinFET Array Placement
Heterogeneous Approximate Multiplications: A New Frontier for Practical DNNs
HLSRanker: Design Space Exploration in High-Level Synthesis Using Preference Bayesian Optimization
Inherent Vulnerability of Atomic Patterns due to Distinguishability of Field Multiplication and Squaring Operations
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits
LLM-Driven TPU Design: Crafting Custom Tensor Processing Accelerators with APTPU-Gen
LUT-MM: An Efficient Lookup Table-Based Approach for Modular Multiplication
Machine Learning Driven Early Clustering for Multi-bit Flip-Flop Allocation
MetaGuard: Transforming Run-Time Hardware Trojan Detection using Meta Reinforcement Learning
Modeling PFAS in Semiconductor Manufacturing to Quantify Trade-offs in Energy Efficiency and Environmental Impact of Computing Systems
Navigating the Trilemma: Security, Power, and Performance Trade-offs in Bluetooth Low Energy
Non-Negative AdderNet (NNAN): Can We Make DNNs More Secure and Efficient Without Multiplication?
One Gray Code Fits All: Optimizing Access Time with Bi-Directional Programming for QLC SSDs
Ordering-Centric: A Scalable and Exact Method for Scheduling with Resource Constraints
Optimal Front vs Back-side Signal Allocation for PPA Improvements in Advanced CMOS Featuring Back-side Metal Interconnects
DES5: Emerging Device and Interconnect Technologies
Out of The Box Techniques for Data Path Verification
Quantum Secure Hash Oracle (QSHO): Strengthening Post-Quantum Cryptography with Kyber-AES, Grover's Simulations, and Hybrid Attack Resistance
Opt-MC: A Graph-based Placement and Routing Algorithm for Optimizing Macro Cell Design
Pacemaker: Energy-Efficient Speculative Scheduling Window Resizing without Performance Impact
PaGO: Pareto-Assisted Goal Optimization for Analog Circuit Sizing
Panther: A PIM-based Blockchain Database System Supporting Efficient Verifiable Queries
ParLS: A Logic Synthesis Framework based on Circuit Partitioning and Reinforcement Learning
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices
Place-and-Route for Photonic Integrated Circuits using Industry-Standard EDA Tools
PMICO: Power Management Integrated Circuits Optimization Framework Using Multi-Agent Reinforcement Learning
PPA-driven Placement via Adaptive Cluster Constraints Optimization
Process Design Kits for Co-Designing Broadband Integrated Photonics and Silicon CMOS in Electronic-Photonic VLSI Circuits
PromptV: Leveraging LLM-powered Multi-Agent Prompting for High-quality Verilog Generation
Rainy Noise Cancellation Technique for LiDAR System Using Convolution Neural Network
Rethinking the Distribution of Outliers in Large Language Models: An In-depth Study
Rethinking Translation Robustness for Reliable Convolutional Segmentation Architecture
ROPE-MLA: Row-Access Optimized Processing Element Machine Learning Accelerator
RTLExplain: A Structured Approach to RTL Code Summarization and Question Answering for Medium-to-Large Designs Using LLMs
ScaleX: A Scalable and Flexible Architecture for Efficient GNN Inference
Self-Supervised Learning based Etching Process Modeling: Bridging Simulation and Experimental Data
SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
SystemVerilog Assertion Syntax Correction with Knowledge Distillation: Toward LLM-Guided Automated Hardware Verification
Synthesis of a memristor-transistor single-phase cell library and its use to synthesize logic circuits
DES5: Emerging Device and Interconnect Technologies
Towards Accurate, Real-Time, and Energy-Efficient Attention Monitoring
Towards Multi-Objective Routing: A Novel Coreset-based Transfer Learning Framework
Transistor Placement Routability Prediction for Standard Cell Design
TrustChain AI: A Privacy-Preserving Decentralized Architecture for Large Language Model Aggregation
Validating the Design of CPS: Interfacing Simulations of Multi-Physics Components and Software with Contract-Based Monitoring
Energy-Efficient, Real-Time Robotic Path Planning through FPGA Acceleration
A Novel Standard Cell Structure and Physical Design Methodology to Enhance Routability
The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration
POG: Parameter Optimization using Graph Neural Networks on Reinforcement Learning
Self-Motivated Agents for Analog Circuit Optimization via Intrinsic Reward
Quantum Properties Trojans (QuPTs) for Attacking QNNs
Reliability-aware DTCO with Physics-Constrained Machine Learning Framework for MOSFETs Trap Extraction