Conferences · eligible papers
DAC
2022–2026 LIVE
2024 · 337 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。
- 3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits
日本大学: 関与なし(対象大学)
- 4-Transistor Ternary Content Addressable Memory Cell Design using Stacked Hybrid IGZO/Si Transistors
日本大学: 関与なし(対象大学)
- A Cache/Algorithm Co-design for Parallel Real-Time Systems with Data Dependency on Multi/Many-core System-on-Chips
日本大学: 関与なし(対象大学)
- A Combined Content Addressable Memory and In-Memory Processing Approach for k-Clique Counting Acceleration
日本大学: 関与なし(対象大学)
- A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems
日本大学: 関与なし(対象大学)
- A HW/SW Co-Design of Video Dehazing Accelerator Using Decoupled Local Atmospheric Light Prior
日本大学: 関与なし(対象大学)
- A High Level Approach to Co-Designing 3D ICs
日本大学: 関与なし(対象大学)
- A High-Performance Stochastic Simulated Bifurcation Ising Machine
日本大学: 関与なし(対象大学)
- A High-Throughput Private Inference Engine Based on 3D Stacked Memory
日本大学: 関与なし(対象大学)
- A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning
日本大学: 関与なし(対象大学)
- A RRAM-based High Energy-efficient Accelerator Supporting Multimodal Tasks for Virtual Reality Wearable Devices
日本大学: 関与なし(対象大学)
- A Real-time Execution System of Multimodal Transformer through PIM-GPU Collaboration
日本大学: 関与なし(対象大学)
- A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction
日本大学: 関与なし(対象大学)
- AIG-CIM: A Scalable Chiplet Module with Tri-Gear Heterogeneous Compute-in-Memory for Diffusion Acceleration
日本大学: 関与なし(対象大学)
- ALVEARE: a Domain-Specific Framework for Regular Expressions
日本大学: 関与なし(対象大学)
- APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
日本大学: 関与なし(対象大学)
- AccMoS: Accelerating Model Simulation for Simulink via Code Generation
日本大学: 関与なし(対象大学)
- Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
日本大学: 関与なし(対象大学)
- Accelerating DTCO with a Sample-Efficient Active Learning Framework for TCAD Device Modeling
日本大学: 関与なし(対象大学)
- Accelerating Regular Path Queries over Graph Database with Processing-in-Memory
日本大学: 関与なし(対象大学)
- AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
日本大学: 関与なし(対象大学)
- AdderNet 2.0: Optimal FPGA Acceleration of AdderNet with Activation-Oriented Quantization and Fused Bias Removal based Memory Optimization
日本大学: 関与なし(対象大学)
- Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition
日本大学: 関与なし(対象大学)
- AdvHunter: Detecting Adversarial Perturbations in Black-Box Neural Networks through Hardware Performance Counters
日本大学: 関与なし(対象大学)
- Advanced Reinforcement Learning Algorithms to Optimize Design Verification
日本大学: 関与なし(対象大学)
- Advanced gate-level glitch modeling using ANNs
日本大学: 関与なし(対象大学)
- Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption
日本大学: 関与なし(対象大学)
- Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
日本大学: 関与なし(対象大学)
- An Efficient Hardware Accelerator Design for Dynamic Graph Convolutional Network (DGCN) Inference
日本大学: 関与なし(対象大学)
- An IP-Agnostic Foundational Cell Array Offering Supply Chain Security
日本大学: 関与なし(対象大学)
- An In-Memory Computing Accelerator with Reconfigurable Dataflow for Multi-Scale Vision Transformer with Hybrid Topology
日本大学: 関与なし(対象大学)
- An NTT/INTT Accelerator with Ultra-High Throughput and Area Efficiency for FHE
日本大学: 関与なし(対象大学)
- Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization
日本大学: 関与なし(対象大学)
- Arbitrary-size Multi-layer OARSMT RL Router Trained with Combinatorial Monte-Carlo Tree Search
日本大学: 関与なし(対象大学)
- Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels
日本大学: 関与なし(対象大学)
- Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model
日本大学: 関与なし(対象大学)
- Auto-ISP: An Efficient Real-Time Automatic Hyperparameter Optimization Framework for ISP Hardware System
日本大学: 関与なし(対象大学)
- BNN-YEO: an efficient Bayesian Neural Network for yield estimation and optimization
日本大学: 関与なし(対象大学)
- Balloon-ZNS: Constructing High-Capacity and Low-Cost ZNS SSDs with Built-in Compression
日本大学: 関与なし(対象大学)
- Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning
日本大学: 関与なし(対象大学)
- Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision
日本大学: 関与なし(対象大学)
- Binding Multi-bit Flip-flop Cells through Design and Technology Co-optimization
日本大学: 関与なし(対象大学)
- Bitwise Adaptive Early Termination in Hyperdimensional Computing Inference
日本大学: 関与なし(対象大学)
- Boolean Matching Reversible Circuits: Algorithm and Complexity
日本大学: 関与なし(対象大学)
- C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium
日本大学: 関与なし(対象大学)
- CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning
日本大学: 関与なし(対象大学)
- CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search
日本大学: 関与なし(対象大学)
- CAP: A General Purpose Computation-in-memory with Content Addressable Processing Paradigm
日本大学: 関与なし(対象大学)
- CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network
日本大学: 関与なし(対象大学)
- CDLS: Constraint Driven Generative AI Framework for Analog Layout Synthesis
日本大学: 関与なし(対象大学)
- CDS: An Anti-Aging Calibratable Digital Sensor for Detecting Multiple Types of Fault Injection Attacks
日本大学: 関与なし(対象大学)
- CEDAR: Computing-in-pixel Edge-aware Detection and Reconstruction Architecture for High-resolution 3D Imaging
日本大学: 関与なし(対象大学)
- CFTCG: Test Case Generation for Simulink Model through Code Based Fuzzing
日本大学: 関与なし(対象大学)
- CLUMAP: Clustered Mapper for CGRAs with Predication
日本大学: 関与なし(対象大学)
- CSTrans-OPU: An FPGA-based Overlay Processor with Full Compilation for Transformer Networks via Sparsity Exploration
日本大学: 関与なし(対象大学)
- Cache-aware Task Decomposition for Efficient Intermittent Computing Systems
日本大学: 関与なし(対象大学)
- ChatCPU: An Agile CPU Design and Verification Platform with LLM
日本大学: 関与なし(対象大学)
- ChatPattern: Layout Pattern Customization via Natural Language
日本大学: 関与なし(対象大学)
- Chiplever: Towards Effortless Extension of Chiplet-based System for FHE
日本大学: 関与なし(対象大学)
- CircuitVAE: Efficient and Scalable Latent Circuit Optimization
日本大学: 関与なし(対象大学)
- Co-Via: A Video Frame Interpolation Accelerator Exploiting Codec Information Reuse
日本大学: 関与なし(対象大学)
- Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
日本大学: 関与なし(対象大学)
- Compact and Efficient CAM Architecture through Combinatorial Encoding and Self-Terminating Searching for In-Memory-Searching Accelerator
日本大学: 関与なし(対象大学)
- Conclave - Secure and Robust Cooperative Perception for Connected Autonomous Vehicle Using Authenticated Consensus and Trust Scoring
日本大学: 関与なし(対象大学)
- Concurrent Detailed Routing with Pin Pattern Re-generation for Ultimate Pin Access Optimization
日本大学: 関与なし(対象大学)
- Conjuring: Leaking Control Flow via Speculative Fetch Attacks
日本大学: 関与なし(対象大学)
- Control Flow Divergence Optimization by Exploiting Tensor Cores
日本大学: 関与なし(対象大学)
- Crop: An Analytical Cost Model for Cross-Platform Performance Prediction of Tensor Programs
日本大学: 関与なし(対象大学)
- Cross-Layer Exploration and Chip Demonstration of In-Sensor Computing for Large-Area Applications with Differential-Frame ROM-Based Compute-In-Memory
日本大学: 関与なし(対象大学)
- Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models
日本大学: 関与なし(対象大学)
- DACPara: A Divide-and-Conquer Parallel Approach for High-Quality Logic Rewriting in Large-Scale Circuits
日本大学: 関与なし(対象大学)
- DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing
日本大学: 関与なし(対象大学)
- DGR: Differentiable Global Router
日本大学: 関与なし(対象大学)
- DH-TRNG: A Dynamic Hybrid TRNG with Ultra-High Throughput and Area-Energy Efficiency
日本大学: 関与なし(対象大学)
- DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs
日本大学: 関与なし(対象大学)
- DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs
日本大学: 関与なし(対象大学)
- Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework
日本大学: 関与なし(対象大学)
- Data-Efficient Conformalized Interval Prediction of Minimum Operating Voltage Capturing Process Variations
日本大学: 関与なし(対象大学)
- Data-driven HLS optimization for reconfigurable accelerators
日本大学: 関与なし(対象大学)
- Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data
日本大学: 関与なし(対象大学)
- Deep Reorganization: Retaining Residuals in TinyML
日本大学: 関与なし(対象大学)
- DeepRIoT: Continuous Integration and Deployment of Robotic-IoT Applications
日本大学: 関与なし(対象大学)
- Defending against Adversarial Patches using Dimensionality Reduction
日本大学: 関与なし(対象大学)
- Design of a Quantum Walk Circuit to Solve the Subset-Sum Problem
日本大学: 関与なし(対象大学)
- Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization
日本大学: 関与なし(対象大学)
- Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes
日本大学: 関与なし(対象大学)
- Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems
日本大学: 関与なし(対象大学)
- Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration
日本大学: 関与なし(対象大学)
- Duet: A Collaborative User Driven Recommendation System for Edge Devices
日本大学: 関与なし(対象大学)
- DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators
日本大学: 関与なし(対象大学)
- Dyn-Bitpool: A Two-sided Sparse CIM Accelerator Featuring a Balanced Workload Scheme and High CIM Macro Utilization
日本大学: 関与なし(対象大学)
- E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis
日本大学: 関与なし(対象大学)
- EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting
日本大学: 関与なし(対象大学)
- EGMA: Enhancing Data Reuse and Workload Balancing in Message Passing GNN Acceleration via Gram Matrix Optimization
日本大学: 関与なし(対象大学)
- EMOGen: Enhancing Mask Optimization via Pattern Generation
日本大学: 関与なし(対象大学)
- EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks
日本大学: 関与なし(対象大学)
- EPIM: Efficient Processing-In-Memory Accelerators based on Epitome
日本大学: 関与なし(対象大学)
- EVDMARL: Efficient Value Decomposition-based Multi-Agent Reinforcement Learning with Domain-Randomization for Complex Analog Circuit Design Migration
日本大学: 関与なし(対象大学)
- EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration
日本大学: 関与なし(対象大学)
- EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices
日本大学: 関与なし(対象大学)