Imagen de Portada

A Collaborative PIM Computing Optimization Framework for Multi-Tenant DNN

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Bojing, Zhong, Duo, Chen, Xiang, Liu, Chenchen
Formato:	Preprint
Publicado:	2024
Materias:	Emerging Technologies Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction
por: Liu, Chengjie, et al.
Publicado: (2025)

UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling
por: Liu, Pingping, et al.
Publicado: (2026)

Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
por: Sharma, Harsh, et al.
Publicado: (2024)

StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
por: Rogers, Ethan G, et al.
Publicado: (2024)

Dendritic Computing with Multi-Gate Ferroelectric Field-Effect Transistors
por: Islam, A N M Nafiul, et al.
Publicado: (2025)

Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers
por: Choudhury, Navnil, et al.
Publicado: (2024)

EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI
por: Zhong, Duo, et al.
Publicado: (2024)

Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework
por: Li, Xiaolong, et al.
Publicado: (2025)

Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks
por: Ma, Tianliang, et al.
Publicado: (2024)

Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems
por: Wedel, Kristy
Publicado: (2025)

A Distributed Emulation Environment for In-Memory Computing Systems
por: Bougioukou, Eleni, et al.
Publicado: (2025)

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
por: Murad, Nauman Ali, et al.
Publicado: (2025)

Beyond Memristor: Neuromorphic Computing Using Meminductor
por: Wang, Frank Zhigang
Publicado: (2025)

GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
por: Hassan, Sahil, et al.
Publicado: (2024)

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization
por: Giabbanelli, Philippe J., et al.
Publicado: (2025)

An Onto-Relational-Sophic Framework for Governing Synthetic Minds
por: Ning, Huansheng, et al.
Publicado: (2026)

OpenMENA: An Open-Source Memristor Interfacing and Compute Board for Neuromorphic Edge-AI Applications
por: Safa, Ali, et al.
Publicado: (2025)

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
por: Adorni, Giorgia, et al.
Publicado: (2024)

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery
por: Osaba, Eneko, et al.
Publicado: (2025)

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
por: Osaba, Eneko, et al.
Publicado: (2024)

Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
por: Osaba, Eneko, et al.
Publicado: (2024)

Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
por: Soykan, Bulent, et al.
Publicado: (2026)

PIM-AI: A Novel Architecture for High-Efficiency LLM Inference
por: Ortega, Cristobal, et al.
Publicado: (2024)

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
por: Liu, Junhua, et al.
Publicado: (2024)

OrQstrator: An AI-Powered Framework for Advanced Quantum Circuit Optimization
por: Baird, Laura, et al.
Publicado: (2025)

MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
por: Purwar, Anupam, et al.
Publicado: (2026)

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
por: Zhao, Zijian, et al.
Publicado: (2025)

Self-Supervised Learning for Time Series: Contrastive or Generative?
por: Liu, Ziyu, et al.
Publicado: (2024)

Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
por: Saha, Arnob, et al.
Publicado: (2026)

A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System
por: Salek, M Sabbir, et al.
Publicado: (2024)

Developing AI Agents with Simulated Data: Why, what, and how?
por: Liu, Xiaoran, et al.
Publicado: (2026)

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
por: Li, Naiyi, et al.
Publicado: (2025)

Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing
por: Ye, Nanyang, et al.
Publicado: (2024)

Rethinking Agentic Reinforcement Learning In Large Language Models
por: Cui, Fangming, et al.
Publicado: (2026)

Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
por: Chen, Wei, et al.
Publicado: (2025)

MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars
por: Farias, Matheus, et al.
Publicado: (2025)

PIM or CXL-PIM? Understanding Architectural Trade-offs Through Large-Scale Benchmarking
por: Lee, I-Ting, et al.
Publicado: (2025)

MFiSP: A Multimodal Fire Spread Prediction Framework
por: Sathiyamoorthy, Alec, et al.
Publicado: (2025)

NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways
por: Wang, Jiazhao, et al.
Publicado: (2024)

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
por: Liu, Yu, et al.
Publicado: (2025)