ISLPED 2026
Detailed Program
The complete three-day technical program — keynotes, sessions, posters, demos, and events.
BPC Best Paper Candidate · Sessions A & B run in parallel.
No sessions or papers match your filter.
Registration + Breakfast
Welcome and Opening Remarks
Keynote Address
In-Memory Computing for Next-Generation AI: Low-Power Design Applied to a New Era of Circuits and Architectures
Naveen Verma — Princeton University and EnCharge AI
Coffee Break
Session 1A
ML-Driven Analysis and Optimization for Physical Design Signoff
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GCU-Net: A Hybrid CNN–Transformer Architecture for Fast and Accurate Dynamic Voltage Drop Prediction BPC
The Hebrew University, IL
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Timing- and Power-Aware Differentiable Repair of Minimum Implant Area Violations
Pohang University of Science and Technology, KR
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WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network
University of California, Riverside, US
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BS-CSO: Backside-Assisted Clock-Signal Co-Optimization Framework
Ulsan National Institute of Science and Technology, KR
Session 1B
Energy-Efficient Accelerators for Edge Intelligence
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TiMM-ViT: Token-Importance-Aware Token Merging with Multi-Exit Training and an FPGA-based Vision Transformer Accelerator for Image Classification
Hanyang University, KR
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FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence
University of California, Irvine, US · Kookmin University · Shibaura Institute of Technology, JP
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COSMOS: Designing Energy-Efficient Context-Aware Multimodal Cognitive Systems
Purdue University, US · Intel Corporation, US
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CMAX-CAMEL: A Coarse-to-Fine Adaptive, Memory-Efficient, and Low-Power Edge Processor for Contrast Maximization BPC
Chung-Ang University, KR
Lunch
Special Session
Advancing Neuromorphic Testbeds: Integrating Memristor, Magnetic, and Superconducting Technologies for Next Generation Artificial Intelligence Computing Platforms
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Advancing Neuromorphic Testbeds for Next-Generation AI Computing
University of Virginia
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Advancing Neuromorphic Hardware Testbeds: Biologically Plausible Neuron Circuits and Memristor In-Memory Computing
Duke University
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Exact Inference and Energy-Efficient Learning in Neuromorphic Testbeds with Magnetic Tunnel Junction Synapses
University of Texas at Dallas
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Superconducting Optoelectronics for Neuromorphic Supercomputing
Great Sky
Women in Technology (WIT)
Keynotes
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Mandy Pant
Intel
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Helen Li
Duke University
Student Showcase Lightning Talks
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Deployable Neuromorphic Intelligence for Continuous Edge Sensing Using Clinical Biosignals
Barcelona Supercomputing Center, ES
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Synthesis and Optimization of Low-Power Low-Voltage CMOS Analog Integrated Circuits
University of Moulay Ismail Meknes, MA
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Exploiting Temporal Similarity for Energy-Efficient Inference on MCUs
Purdue University, US
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Machine Learning Assisted Scan Chain Reordering for Low-Power VLSI Testing
CMR Institute of Technology, IN
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Palladium-Functionalized Piezoelectric MEMS Resonators for Ultra-Low-Power Wireless Hydrogen Sensing
Northeastern University, US
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Reinforcement Learning for Vector Databases
University of Maine, US
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Tris-GCN: A 3D NAND Flash-based In-Storage Processing Architecture for Energy-Efficient GCN Acceleration
National Taiwan University, TW
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A Fused SRAM Compute-in-Memory Architecture for Spike-Based Sequential Learning
Purdue University, US
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Wearable Muscle Sensor for Personalized Quantifying of Menstrual Cramping
Purdue University, US
Coffee Break + WIT Poster Session
Session 2A
Data-Efficient and Precision-Optimized AI Accelerators
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L2Mersit: A Scaling-Free Sub-8-bit Data Format for On-Device Reliable Large Language Model Serving BPC
Kyung Hee University, KR · Yonsei University, KR
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Exploiting Data Truncation for Lifetime Extension in ORB Accelerators
Universidad de Zaragoza, ES
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CFoM-GS: An Anchor Gaussian Splatting Training Accelerator with Chunk-wise Footprint Matching
Peking University, CN
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PVT-Insensitive Matrix-Vector Multiplier and ADC-less Tiling for Analog Computing and AI Accelerators
University of Rochester, US
Session 2B
Robust and Efficient In-Memory Computing
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Dataflow-Preserving, Overhead-Free Weight Remapping for Fault-Tolerant ReRAM-Based In-Memory Computing
Sungkyunkwan University, KR
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XL-HD: Extended Learning in Hyperdimensional Computing via Deterministic Projections for In-Memory Accelerators
University of South Florida, US · University of Louisiana at Lafayette, US
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A Top-Down Design Methodology for Accuracy-to-Noise Mapping in Analog Compute-in-Memory Systems: Evaluation on Mamba
Georgia Institute of Technology, US
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MITRA: Reconfigurable, Low-Latency, and Power-Efficient In-Memory Stochastic Architecture for Transcendental Functions BPC
University of Minnesota · Case Western Reserve University · University of Louisiana at Lafayette
Registration + Breakfast
Keynote Address
Reconfigurable Nonlinear Computing in Silicon
Wilfred G. van der Wiel — University of Twente and University of Münster
Coffee Break
Session 3A
Emerging Circuits for Computing and Energy
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A Current Mode Wireless Power Transfer with Deficit Energy Quantifier for Implanted Medical Devices BPC
Sungkyunkwan University
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X-CODA: Xbar-Output-Dependent Compensation of In-Memory-Computing Errors for DNN Accuracy Enhancement
Purdue University, US
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BB-CIM: A Back-Bias Tuned Analog Compute In-Memory in 22nm FD-SOI for Improved Power-efficiency
Georgia Institute of Technology, US
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Tris-GCN: A 3D NAND Flash-based In-Storage Processing Architecture for GCN Acceleration
National Taiwan University, TW · National Yang Ming Chiao Tung University, TW · University of Illinois Urbana-Champaign, US · Purdue University, US · Academia Sinica, TW
Session 3B
Efficient Computation for Edge and Brain-Inspired AI
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LayUp: Layer-wise Parallelization for Energy-Efficient Edge LLM Training Exploiting Unified Memory Characteristics
Soongsil University, KR
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Efficient On-Device Estimation of Transcutaneous Oxygen Using Machine Learning for Photoluminescence-Based Wearables
Worcester Polytechnic Institute, US · Michigan State University, US · Massachusetts Institute of Technology, US · University of Louisiana at Lafayette, US
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Vector-Space Projection and Unified Complex-Valued Acceleration for Scaling Matrix-Based Brain-Inspired Representations
University of California, Irvine · University of California, San Diego
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PowerFlow-DNN: Compiler-Directed Fine-Grained Power Orchestration for End-to-End Edge AI Inference BPC
University of Southern California, US
Lunch
Poster Session
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Unsupervised Low-Power ADC Calibration via Goertzel-Based Spectral Objective and Particle Swarm Search
Swiss Center for Electronics and Microtechnology, CH · ETH Zurich, CH
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EdgeVLA: A Heterogeneous Edge VLA Accelerator with Iteration-Aware Low-Rank Approximation for Embodied AI
Peking University, CN
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Application-Driven System Technology Co-Optimization for 2.5D Edge AI Platforms
École Polytechnique Fédérale de Lausanne, CH
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Post-Placement Optimization with Pin-Level Graph Isomorphism Network and Recurrent Q-Learning
Ulsan National Institute of Science and Technology, KR
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Congestion-Aware Integrated Optimization of Multi-Bit Flip-Flop Clustering and Placement
Ulsan National Institute of Science and Technology, KR
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A Hardware-Based Multi-Stage Dynamic Power Management Architecture for Autonomous Low-Light Operation
Maastricht University, NL · Zurich University of Applied Sciences, CH · Microdul AG, CH · Lightricity Limited, GB · e-peas S.A., BE · Centre for Research and Technology Hellas, GR
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FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models
University of California, Los Angeles, US · University of Massachusetts, Amherst, US
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GECKO: Graph-Evolving aware ChecKpOinter for Intermittent Systems
National Yang Ming Chiao Tung University, TW · Academia Sinica, TW
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QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
University of California, San Diego, US · San Diego State University, US
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NEST: Adaptive Tree–Graph Vector Database for Energy-Constrained Edge Devices
University of Maine, US
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Algorithm-Hardware Co-Design for Efficient Vector Symbolic Autonomous World Modeling
University of California, Irvine, US
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Presto: Hardware Acceleration of Ciphers for Hybrid Homomorphic Encryption
The University of Texas at Austin, US
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Integrating Symbolic and Neural Mechanisms for Adversarially Robust Hyperdimensional Computing
University of California, Irvine, US · United States Military Academy, US
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HyperSPACE: Sparse-Adder-Compatible Encoding for Efficient Hyperdimensional Computing on Digital CIM Arrays
Sungkyunkwan University, KR · Korea Advanced Institute of Science and Technology, KR
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MECA-CiM: A Shared-MicroExponent-aware Configurable Analog Compute-in-Memory Macro for Efficient Inference
Seoul National University, KR
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CIM-FLEX: An Integer-Only Flexible Periphery for Distributed Compute-In-Memory Architectures
IBM Research, CH · STMicroelectronics, IT · STMicroelectronics, IN · École Polytechnique Fédérale de Lausanne, CH · STMicroelectronics, CH
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Fusing the Attention Training Dataflow with Local Safe Softmax and Model-Independent Tiling
Pohang University of Science and Technology, KR
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MVP: A Mobile 3D-Stacked VLM Accelerator for Efficient Video Understanding by Leveraging Dynamic Sparse Attention Patterns
Peking University, CN
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H3-Attn: Attention-Efficient 3D DRAM PNM Processor with Hybrid Head Parallelism and Hierarchical SFU
Tsinghua University, CN
Design Contest Demos
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An Energy-Efficient Crossbar-Free Oscillatory Neural Network Accelerator for Near-Sensor Edge AI
Chung-Ang University, KR
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NETRA – Energy-efficient Navigation at Edge towards Real-time Assistance for Visually Impaired Individuals
Indian Institute of Science, IN
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Microwatt Microwave (M2) Oscillator: Enabling 105 μW, Stable and Standalone Transceivers
National University of Singapore, SG · University of California, Berkeley, US
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EC-Sense: Ultra-Low-Power Wireless Soil Moisture Sensing using Energy Harvesting
University of Wisconsin, US
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Shared-Column Im2col for Energy-Efficient TinyML Convolution on Microcontrollers
Ajou University, KR
Coffee Break
Session 4A
Specialized Accelerators for AI Workloads
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PISA: Parameter-Efficient Image Super-Resolution Acceleration for Multiplierless Architecture
Seoul National University, KR
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Codebook-Based Acceleration for Ternary Language Model Inference
University Notre Dame, US · Jilin University, CN
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HotBa: A Heterogeneous Mamba Accelerator with Δ-Guided Early Rejection for Speculative Decoding
Yonsei University, KR · Ulsan National Institute of Science and Technology, KR
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SA-Kura: An Energy-Efficient Systolic Array Accelerator for Locally-Coupled Kuramoto Drift in Diffusion Sampling BPC
Chung-Ang University, KR
Session 4B
Secure and Efficient Computing Architectures
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Area-Efficient FHE Acceleration via Ciphertext-Level Parallelism and Shared-Key Reuse BPC
Sungkyunkwan University, KR
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Mitigating Clock Glitch Attack via Electromagnetically Engineered Interconnects
University of Central Florida, US · University of North Carolina at Charlotte, US
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Beyond Static Policies: Dynamic-PRAC for Balanced and Efficient Rowhammer Mitigation
Yonsei University, KR · Pohang University of Science and Technology, KR
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ViViD-GS: Voxel-Constrained Representation and Voxel-Centric Accelerator for Real-Time 3D Gaussian Splatting
Korea University, KR
Banquet
Chicago Botanic Garden (English Walled Garden)
1000 Lake Cook Rd, Glencoe, IL 60022
Registration + Breakfast
Panel
Accelerating Silicon Innovation with GenAI
Moderator: Srividhya Venkataraman, AMD
Panelists: Massoud Pedram, University of Southern California · Kaushik Sengupta, Princeton University · Hamid Shojaei, Cadence
Coffee Break
Session 5A
Efficient Sensing and Neuromorphic Accelerators
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A Neural-Feedback-Driven Event Camera for Robust and Efficient Vision Processing
Sungkyunkwan University, KR
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Space-CIM: Enabling Compute-In-Memory Accelerators for Thermally-Constrained Space Platforms
Iowa State University of Science and Technology, US
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SpikON: A Dual-Parallel and Efficient Accelerator for Online Spiking Neural Networks Learning
University of Virginia, US
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A2CD-Gaze: Decoder-Free Compressed-Domain Eye Parsing via In-Sensor Pre-ADC Analog Convolution
University of Illinois Chicago, US
Session 5B
Emerging Technologies and Computing Paradigms
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Exploiting Port-Level Parallelism and Inter-Track Skyrmion Reuse for Energy-Efficient Updates in Skyrmion Racetrack Memory
National Tsing Hua University, TW · National Yang Ming Chiao Tung University, TW
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FUSE-GS: Frequency-Aware Pruning and Scale-Driven Rendering for Energy Efficient 3D Gaussian Splatting
Korea University, KR
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PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference
University of California, San Diego, US · Zhejiang University, CN
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How Many Shots Does It Take? A Noise-Aware Quantum Resource Allocation Framework
PES University, IN · Indian Institute of Science, IN
Closing Remark and Award Ceremony
Lunch (Grab-and-go)