Conferences · eligible papers
DAC
2022–2026 LIVE
2025 · 418 papers
このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
- Construction of DAG Models for Autonomous Systems
日本大学: 関与なし(対象大学)
- Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors
日本大学: 関与なし(対象大学)
- Cost-Distance Steiner Trees for Timing-Constrained Global Routing
日本大学: 関与なし(対象大学)
- Cross-Attention for AES Mode Variation in Side-Channel Analysis
日本大学: 関与なし(対象大学)
- Curvilinear Optical Proximity Correction via Cardinal Spline
日本大学: 関与なし(対象大学)
- DANN: Diffractive Acoustic Neural Network for in-sensor computing system target at multi-biomarker diagnosis
日本大学: 関与なし(対象大学)
- DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs
日本大学: 関与なし(対象大学)
- DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering
日本大学: 関与なし(対象大学)
- DBC: Drift-aware Binary Code for Drift-tolerant Deep Neural Networks
日本大学: 関与なし(対象大学)
- DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation
日本大学: 関与なし(対象大学)
- DCO-3D: Differentiable Congestion Optimization in 3D ICs
日本大学: 関与なし(対象大学)
- DDRoute: a Novel Depth-Driven Approach to the Qubit Routing Problem
日本大学: 関与なし(対象大学)
- DIAS: Distance-based Attention Sparsity for Ultra-Long-Sequence Transformer with Tree-like Processing-in-Memory Architecture
日本大学: 関与なし(対象大学)
- DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning
日本大学: 関与なし(対象大学)
- DRAFT: Decoupling Backpropagation from Pre-trained Backbone for Efficient Transformer Fine-Tuning on Edge
日本大学: 関与なし(対象大学)
- DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices
日本大学: 関与なし(対象大学)
- DSPlacer: DSP Placement for FPGA-based CNN Accelerator
日本大学: 関与なし(対象大学)
- Data Oblivious CPU: Microarchitectural Side-channel Leakage-Resilient Processor
日本大学: 関与なし(対象大学)
- DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators
日本大学: 関与なし(対象大学)
- Decoupling Analog Circuit Representation from Technology for Behavior-Centric Optimization
日本大学: 関与なし(対象大学)
- DeepPUFSCA: Deep learning for Physical Unclonable Function attack based on Side Channel Analysis support
日本大学: 関与なし(対象大学)
- Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection
日本大学: 関与なし(対象大学)
- DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication
日本大学: 関与なし(対象大学)
- Design and Technology Co-optimization Utilizing Flip-FET (FFET) Standard Cells
日本大学: 関与なし(対象大学)
- Device-Algorithm Co-Design of Ferroelectric Compute-in-Memory In-Situ Annealer for Combinatorial Optimization Problems
日本大学: 関与なし(対象大学)
- Differentiable Net-Moving and Local Congestion Mitigation for Routability-Driven Global Placement
日本大学: 関与なし(対象大学)
- DuQTTA: Dual Quantized Tensor-Train Adaptation with Decoupling Magnitude-Direction for Efficient Fine-Tuning of LLMs
日本大学: 関与なし(対象大学)
- Dual-Issue Execution of Mixed Integer and Floating-Point Workloads on Energy-Efficient In-Order RISC-V Cores
日本大学: 関与なし(対象大学)
- DuoQ: A DSP Utilization-aware and Outlier-free Quantization for FPGA-based LLMs Acceleration
日本大学: 関与なし(対象大学)
- DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator
日本大学: 関与なし(対象大学)
- Dynamic Local Usage: An Accurate Model for Usage of Tile-Internal Wiring in Global Routing
日本大学: 関与なし(対象大学)
- E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis
日本大学: 関与なし(対象大学)
- EDGE: DBMS-Empowered Boolean Decomposition for GIG Synthesis
日本大学: 関与なし(対象大学)
- ELF: Efficient Logic Synthesis by Pruning Redundancy in Refactoring
日本大学: 関与なし(対象大学)
- EPIC: Error PredIction and Correction for Power-Efficient Voltage Underscaling Multiply-Accumulate Unit
日本大学: 関与なし(対象大学)
- EPICS: Efficient Parallel Pattern Fault Simulation for Sequential Circuits via Strongly Connected Components
日本大学: 関与なし(対象大学)
- EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits
日本大学: 関与なし(対象大学)
- ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
日本大学: 関与なし(対象大学)
- EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits
日本大学: 関与なし(対象大学)
- Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs
日本大学: 関与なし(対象大学)
- EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge
日本大学: 関与なし(対象大学)
- Efficient Continuous Logic Optimization with Diffusion Model
日本大学: 関与なし(対象大学)
- Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory
日本大学: 関与なし(対象大学)
- Efficient Rectification Signal Validation for Optimal Functional ECO Patch Generation
日本大学: 関与なし(対象大学)
- Efficient Recycling Subspace Truncation Method for Periodic Small-Signal Analysis
日本大学: 関与なし(対象大学)
- Efficient Weight Mapping and Resource Scheduling on Crossbar-based Multi-core CIM Systems
日本大学: 関与なし(対象大学)
- Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout
日本大学: 関与なし(対象大学)
- EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
日本大学: 関与なし(対象大学)
- Enabling Data-Deduplication-Assisted Data Relocation for Interlaced Magnetic Recording
日本大学: 関与なし(対象大学)
- Enabling On-Tiny-Device Model Personalization via Gradient Condensing and Alternant Partial Update
日本大学: 関与なし(対象大学)
- Energy-Efficient Large-Scale Vector Similarity Search in NAND-Flash via Hybrid Matching
日本大学: 関与なし(対象大学)
- Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction
日本大学: 関与なし(対象大学)
- Enhancing Parallelism and Energy-Efficiency in SOT-MRAM based CIM Architecture for On-Chip Learning
日本大学: 関与なし(対象大学)
- Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble
日本大学: 関与なし(対象大学)
- Espresso: Exploiting the Sparsity Property in Event Sensors with Spatiotemporal Ordering
日本大学: 関与なし(対象大学)
- Expanding Logical Space Freely: A Memory-efficient Mapping Table Design for Compressional SSDs
日本大学: 関与なし(対象大学)
- Exploiting Power Side-Channel Vulnerabilities in XGBoost Accelerator
日本大学: 関与なし(対象大学)
- FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
日本大学: 関与なし(対象大学)
- FLAG: An FPGA-Based System for Low-Latency GNN Inference Service Using Vector Quantization
日本大学: 関与なし(対象大学)
- FPGA-TrustZone: Security Extension of TrustZone to FPGA for SoC-FPGA Heterogeneous Architecture
日本大学: 関与なし(対象大学)
- FT-MUX: A Fault-Tolerant Microfluidic Multiplexer Design
日本大学: 関与なし(対象大学)
- FactorHD: A Hyperdimensional Computing Model for Multi-Object Multi-Class Representation and Factorization
日本大学: 関与なし(対象大学)
- Fast End-to-End Simulation and Exploration of Many-RISCV-Core Baseband Transceivers for Software-Defined Radio-Access Networks
日本大学: 関与なし(対象大学)
- FastPath: A Hybrid Approach for Efficient Hardware Security Verification
日本大学: 関与なし(対象大学)
- FeKAN: Efficient Kolmogorov-Arnold Networks Accelerator Using FeFET-based CAM and LUT
日本大学: 関与なし(対象大学)
- FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA
日本大学: 関与なし(対象大学)
- Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
日本大学: 関与なし(対象大学)
- Finding the Pareto Frontier of Low-Precision Data Formats and MAC Architecture for LLM Inference
日本大学: 関与なし(対象大学)
- FineRR-ZNS: Enabling Fine-Granularity Read Refreshing for ZNS SSDs
日本大学: 関与なし(対象大学)
- FireGuard: A Generalized Microarchitecture for Fine-Grained Security Analysis on OoO Superscalar Cores
日本大学: 関与なし(対象大学)
- FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
日本大学: 関与なし(対象大学)
- Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs
日本大学: 関与なし(対象大学)
- From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees
日本大学: 関与なし(対象大学)
- G-SpNN: GPU-Accelerated Passivity Enforcement for S-Parameter Modeling with Neural Networks
日本大学: 関与なし(対象大学)
- GEM: GPU-Accelerated Emulator-Inspired RTL Simulation
日本大学: 関与なし(対象大学)
- GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning
日本大学: 関与なし(対象大学)
- GLiTCH: GLiTCH induced Transitions for Secure Crypto-Hardware
日本大学: 関与なし(対象大学)
- GNN-MLS: Signal Routing in Mixed-Node 3D ICs through GNN-Assisted Metal Layer Sharing
日本大学: 関与なし(対象大学)
- GPS: GNN-Based Two-Stage Pre-Scheduling Loop Mapping Method on CGRAs
日本大学: 関与なし(対象大学)
- GPart: A GNN-Enabled Multilevel Graph Partitioner
日本大学: 関与なし(対象大学)
- GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency
日本大学: 関与なし(対象大学)
- GSAcc: Accelerate 3D Gaussian Splatting via Depth Speculation and Gaussian-centric Rasterization
日本大学: 関与なし(対象大学)
- GSIM: Accelerating RTL Simulation for Large-Scale Designs
日本大学: 関与なし(対象大学)
- GTN-Path: Efficient Path Timing Prediction through Waveform Propagation with Graph Transformer
日本大学: 関与なし(対象大学)
- GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
日本大学: 関与なし(対象大学)
- Gem5-AcceSys: Enabling System-Level Exploration of Standard Interconnects for Novel Accelerators
日本大学: 関与なし(対象大学)
- Generalizable Lithographic Hotspot Detection Using Asynchronous Meta-Learning with Only One Shot
日本大学: 関与なし(対象大学)
- Generative Model Based Standard Cell Timing Library Characterization
日本大学: 関与なし(対象大学)
- GoPTX: Fine-grained GPU Kernel Fusion by PTX-level Instruction Flow Weaving
日本大学: 関与なし(対象大学)
- Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment
日本大学: 関与なし(対象大学)
- Graph-Guided Transfer Learning to Boost the Efficiency of System-Level Optimization of Analog/Mixed-Signal Circuits
日本大学: 関与なし(対象大学)
- GraphAccel: An In-Storage Accelerator for Efficient Graph-Based Vector Similarity Search Using Page Packing and Speculative Search Optimization
日本大学: 関与なし(対象大学)
- GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs
日本大学: 関与なし(対象大学)
- Grasp: Group-based Prediction of Activation Sparsity for Fast LLM Inference
日本大学: 関与なし(対象大学)
- Guarder: A Stable and Lightweight Reconfigurable RRAM-based PIM Accelerator for DNN IP Protection
日本大学: 関与なし(対象大学)
- H3Match: A Hybrid Heterogeneous Hypergraph Matching Method for Subcircuit Identification
日本大学: 関与なし(対象大学)
- HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices
日本大学: 関与なし(対象大学)
- HIVE: A High-Priority Victim Cache for Accelerating GPU Memory Accesses
日本大学: 関与なし(対象大学)
- HPIM-NoC: A Priori-Knowledge-Based Optimization Framework for Heterogeneous PIM-Based NoCs
日本大学: 関与なし(対象大学)
- Hardware Generation with High Flexibility using Reinforcement Learning Enhanced LLMs
日本大学: 関与なし(対象大学)