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Work-in-Progress Poster: Tuesday Work-in-Progress Posters
Event TypeWork-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
Topics
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security
Presentations
A General Purpose IMC Architecture with ADC-Awared Neural Networks
A Hardware-Aware Framework for Practical Quantum Circuit Knitting
A Hierarchical Dataflow-Driven Heterogeneous Architecture for Wireless Baseband Processing
A High-Throughput, Energy-Efficient, and Constant-Time In-SRAM AES Engine with Massively-Parallel Bit-Serial Execution
A novel method to analysis the wafer defect patterns using an image matching algorithm based on deep neural networks
A Parallel-trial Double-update Annealing Algorithm for Enabling Highly-effective State Transition on Annealing Processors
A Quantum Solver for the Boolean Matching Problem
A Synthesis Methodology for Intelligent Memory Interfaces in Accelerator Systems
Adaptive Neurosurgeon: DNN Computing Latency Minimization for Mobile Edge Intelligence
Additive Partial Sum Quantization
Addressing the Diversity in AI Computing: An On-chip Programmable Accelerator
AiDAC: A Low-Cost In-Memory Computing Architecture with All-Analog Multibit Compute and Interconnect
AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
An Analytical Fidelity Model for Readout Circuitry with Multiple Co-Existing Non-Idealities for Superconducting Quantum Computing
An Application of Information Flow Tracking to Hardware Trojan Detection
An Effective Timing Driven Placement with Accurate Differentiable Timing Approximation Integration
Analytical Modeling and Electro-Thermal Benchmarking of 2.5D/3D Heterogeneous Integration for AI Computing
Approx-T: Design Methodology for Approximate Multiplication Units via Taylor-expansion
Architectural Exploration of Application-Specific Resonant SRAM Compute-in-Memory (rCiM)
Are Adversarial Examples Suitable To Be Test Suites for Testing Deep Neural Networks
Author
Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
AutoFlow: Inferring Message Flows From System Communication Traces
B-Ring:An Efficient Interleaved Bidirectional Ring All-reduce Algorithm for Gradient Synchronization
Balancing and Minimizing Energy Consumption of Federated Learning in Heterogeneous Mobile Edge IoT
Bayesian learning-driven Memory Design Exploration with Automated Circuit Variant Generation
CDA: Collaborative Computing Using Centralized-Distributed Architecture for Smart Sensing
CellRejuvo: Rescuing the Aging of 3D NAND Flash Cells with Dense-Sparse Cell Reprogramming
Cooling the Chaos: Mitigating the Effect of Threshold Voltage Variation in Cryogenic CMOS Memories
Deputy NoC: A Case of Low Cost Network-on-Chip for Neural Network Accelerations on GPUs
Efficient Synaptic Delay Acceleration in Digital Event-Driven Neuromorphic Processors
ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring
Enabling Fast 2-bit LLM on GPUs: Memory Alignment, Sparse Outlier, and Asynchronous Dequantization
Enhancing Performance of Deep Neural Networks with a Reduced Retention-Time MRAM-Based Memory Architecture
Escaping local optima in global placement
ESFA: An Efficient Scalable FFT Accelerator Design Framework on Versal AI Engine
Exploring Distributed Circuit Design Using Single-Step Reinforcement Learning
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
FEI: Fusion Processing of Sensing Energy and Information for Self-sustainable Infrared Smart Vision System
From RTL to Prompt: AN LLM-assisted Verification Methodology for General Processor
From RTL to SVA: LLM-assisted generation of Formal Verification Testbenches
GNN-Opt: Enhancing Automated Circuit Design Optimization with Graph Neural Networks
GPU-Accelerated BFS for Dynamic Networks
Optimization of DSP-Based Equalizer in High-Speed ADC-Based Receivers
HPA: A novel IS-WS hybrid data flow for PIM architectures
Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference
Integrated MAC-based Systolic Arrays: Design and Performance Evaluation
Interactive Visual Performance Space Exploration of Analog ICs with Neural Network Surrogate Models
Labidus: Productive Accelerator Development via Configurable Soft Processors
LEAP: Layout aware Estimation of Analog design Parasitics
Learned Index Acceleration with FPGAs: A SMART Approach
Libra: Collaborating with Basis-Inverted Circuits to Mitigate State-Dependent Errors on NISQ Programs
MatHE: A Near-Mat Processing In-Memory Accelerator for Fully Homomorphic Encryption
Methodology of configurable memory conflict-free Number Theoretic Transform accelerator for FPGA platform
Multi-modal Signal applied Dynamic neuron based Spike processor for Stress Detection
Multi-modal Signal applied Neuromorphic proven SNN Model for Stress Detection
Navigating the Challenges of Statistical Fault Injection in SRAM-FPGA
NeuCore: A Novel Neuromorphic Processor Architecture with On-chip Event-driven Learning
NeuroSteiner: A Graph Transformer for Wirelength Estimation
nvmXR: Design Space Exploration of Non-Volatile Memory Architectures for Edge-XR Systems
ODILO: On-Device Incremental Learning Via Lightweight Operations
On Optimization of Robustness of Inter- and Intra-chiplet Interconnection Topology for Multi-chiplet Systems
Operational Safety in Human-in-the-loop Human-in-the-plant Autonomous Systems
Optimal Toffoli-Depth Quantum Adder
Optimizing Homomorphic Convolution for Private CNN Inference
PIANIST: Efficient Quantum Circuit Simulation using Commercial Processing-in-Memory System
PixelPrune: Sparse Object Detection for AIoT Systems via In-Sensor Segmentation and Adaptive Data Transfer
Pre-Silicon Power Side-channel Leakage Assessment of CRYSTALS-Kyber
Principles for Enabling TEEs on Domain-Specific Accelerators
Pushing Computing-in-memory towards Computational Storage to Accelerate In-Orbit Remote Sensing Satellite Image Processing
Quantifying the Energy Efficiency Benefits of Monolithic 3D Refreshless Embedded-DRAM
Quantization Noise Cancellation Through Modelling of Non-Linearities in Sigma Delta Modulators
QuBound: An Efficient Workflow Enabling Prediction of Performance Bounds under Unpredictable Quantum Noise
RADAR: A Skew-resistant and Hotness-aware Ordered Index Design for Processing-in-memory Systems
Representation-Independent Resubstitution for Area-Oriented Logic Optimization
Reset Domain Crossing Design Verification Closure using Advanced Data Analytics Techniques
SASDynabLE: A Compact Transformer Inference Architecture with Saturation-Approximate Softmax Enabling Dynamic-Mapping Based Layer-Fusion Execution
Scalable Multi-task Deep Inference on Resource Constrained Energy Harvesting System
Scaler-FFT: A Scalable FPGA-based FFT Accelerator via General Matrix Multiplication
SFQ counter-based precomputation for large-scale cryogenic VQE machines
SI-Aware Wire Timing Prediction at Pre-Routing Stage with Multi-Corner Consideration
SoCureLLM: An LLM-driven Approach for Large-Scale System-on-Chip Security Verification and Policy Generation
SPHINCSLET - A Lightweight Implementation of SPHINCS+
TDM: Time and Distance based Metric for Quantifying Information Leakage Vulnerabilities in SoCs
The Power of Graph Signal Processing for Chip Placement
TinySeg: Memory-efficient Image Segmentation for Small Embedded Systems
TRIFP-DCIM: A Toggle-Rate-Immune Floating-point Digital Compute-in-Memory Design with Adaptive-Asymmetric Compute-Tree
Tripartite Server Mutual Attestation: TEE-based BFT for Boosting Server Reliability in Federated Learning
Understanding the Upper Bounds of Energy Efficiency in a Computing-in-Memory Processor and How to Approach the Limit
VisionHD: Revisiting Hyperdimensional Computing for Improved Image Classification
Where and How to Charge: Effective Charging with Mobile Agent in Wireless Powered CPS