Towards Green AI: Current status and future research
Fuente:
arXiv
Guardado en:
| Autores principales: | Clemm, Christian, Stobbe, Lutz, Wimalawarne, Kishan, Druschke, Jan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The data heat island effect: quantifying the impact of AI data centers in a warming world
por: Marinoni, Andrea, et al.
Publicado: (2026)
por: Marinoni, Andrea, et al.
Publicado: (2026)
The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
por: Markov, Igor L.
Publicado: (2023)
por: Markov, Igor L.
Publicado: (2023)
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
por: Wan, Zishen, et al.
Publicado: (2024)
por: Wan, Zishen, et al.
Publicado: (2024)
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
por: Wan, Zishen, et al.
Publicado: (2024)
por: Wan, Zishen, et al.
Publicado: (2024)
Posture Clip: Sit properly or I wont let you work
por: Majhi, Arka, et al.
Publicado: (2026)
por: Majhi, Arka, et al.
Publicado: (2026)
Sustainable AI Processing at the Edge
por: Ollivier, Sébastien, et al.
Publicado: (2022)
por: Ollivier, Sébastien, et al.
Publicado: (2022)
Hey AI, Generate Me a Hardware Code! Agentic AI-based Hardware Design & Verification
por: Gadde, Deepak Narayan, et al.
Publicado: (2025)
por: Gadde, Deepak Narayan, et al.
Publicado: (2025)
Debunking the CUDA Myth Towards GPU-based AI Systems
por: Lee, Yunjae, et al.
Publicado: (2024)
por: Lee, Yunjae, et al.
Publicado: (2024)
AI+HW 2035: Shaping the Next Decade
por: Chen, Deming, et al.
Publicado: (2026)
por: Chen, Deming, et al.
Publicado: (2026)
AI-Powered Agile Analog Circuit Design and Optimization
por: Hu, Jinhai, et al.
Publicado: (2025)
por: Hu, Jinhai, et al.
Publicado: (2025)
Towards LLM-based Root Cause Analysis of Hardware Design Failures
por: Qiu, Siyu, et al.
Publicado: (2025)
por: Qiu, Siyu, et al.
Publicado: (2025)
SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
por: Vungarala, Deepak, et al.
Publicado: (2024)
por: Vungarala, Deepak, et al.
Publicado: (2024)
Exploring the Potential of Wireless-enabled Multi-Chip AI Accelerators
por: Irabor, Emmanuel, et al.
Publicado: (2025)
por: Irabor, Emmanuel, et al.
Publicado: (2025)
PAI: Fast, Accurate, and Full Benchmark Performance Projection with AI
por: Johnson, Avery, et al.
Publicado: (2026)
por: Johnson, Avery, et al.
Publicado: (2026)
Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence
por: Qin, Haiyan, et al.
Publicado: (2025)
por: Qin, Haiyan, et al.
Publicado: (2025)
Evaluating LLM-based Workflows for Switched-Mode Power Supply Design
por: Nau, Simon, et al.
Publicado: (2025)
por: Nau, Simon, et al.
Publicado: (2025)
Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
por: Deng, Jinyi, et al.
Publicado: (2024)
por: Deng, Jinyi, et al.
Publicado: (2024)
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
por: Wang, Zhihai, et al.
Publicado: (2024)
por: Wang, Zhihai, et al.
Publicado: (2024)
A3D: Agentic AI flow for autonomous Accelerator Design
por: Nallathambi, Abinand, et al.
Publicado: (2026)
por: Nallathambi, Abinand, et al.
Publicado: (2026)
NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI
por: Yang, Kaiyuan, et al.
Publicado: (2025)
por: Yang, Kaiyuan, et al.
Publicado: (2025)
Chiplet-Based RISC-V SoC with Modular AI Acceleration
por: Bharadwaj, Suhas Suresh, et al.
Publicado: (2025)
por: Bharadwaj, Suhas Suresh, et al.
Publicado: (2025)
Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization
por: Blasberg, Alexander, et al.
Publicado: (2026)
por: Blasberg, Alexander, et al.
Publicado: (2026)
GenAI-Driven Approach to RISC-V Supply Chain Exploration
por: Petrovic, Nenad, et al.
Publicado: (2026)
por: Petrovic, Nenad, et al.
Publicado: (2026)
Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
por: Krestinskaya, Olga, et al.
Publicado: (2024)
por: Krestinskaya, Olga, et al.
Publicado: (2024)
CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware
por: Kundu, Souvik, et al.
Publicado: (2024)
por: Kundu, Souvik, et al.
Publicado: (2024)
Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate
por: Jin, Yifei, et al.
Publicado: (2025)
por: Jin, Yifei, et al.
Publicado: (2025)
All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification
por: Gadde, Deepak Narayan, et al.
Publicado: (2024)
por: Gadde, Deepak Narayan, et al.
Publicado: (2024)
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation
por: Chang, Kaiyan, et al.
Publicado: (2024)
por: Chang, Kaiyan, et al.
Publicado: (2024)
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
por: Müller, Mika Markus, et al.
Publicado: (2024)
por: Müller, Mika Markus, et al.
Publicado: (2024)
Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE
por: Ahmad, Adeel, et al.
Publicado: (2025)
por: Ahmad, Adeel, et al.
Publicado: (2025)
MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator
por: Wang, Cong, et al.
Publicado: (2024)
por: Wang, Cong, et al.
Publicado: (2024)
Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent
por: Tageldeen, Momen K, et al.
Publicado: (2025)
por: Tageldeen, Momen K, et al.
Publicado: (2025)
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
por: Schneider, Ian, et al.
Publicado: (2025)
por: Schneider, Ian, et al.
Publicado: (2025)
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
por: Siddique, Ayesha, et al.
Publicado: (2025)
por: Siddique, Ayesha, et al.
Publicado: (2025)
Architectural Design and Performance Analysis of FPGA based AI Accelerators: A Comprehensive Review
por: Chatterjee, Soumita, et al.
Publicado: (2026)
por: Chatterjee, Soumita, et al.
Publicado: (2026)
Beyond Moore's Law: Harnessing the Redshift of Generative AI with Effective Hardware-Software Co-Design
por: Yazdanbakhsh, Amir
Publicado: (2025)
por: Yazdanbakhsh, Amir
Publicado: (2025)
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models
por: Deng, Zechun, et al.
Publicado: (2025)
por: Deng, Zechun, et al.
Publicado: (2025)
HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices
por: Jeon, Sangmin, et al.
Publicado: (2025)
por: Jeon, Sangmin, et al.
Publicado: (2025)
ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
por: Yu, Zhongkai, et al.
Publicado: (2026)
por: Yu, Zhongkai, et al.
Publicado: (2026)
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor
por: Tain, Benoit, et al.
Publicado: (2025)
por: Tain, Benoit, et al.
Publicado: (2025)
Ejemplares similares
-
The data heat island effect: quantifying the impact of AI data centers in a warming world
por: Marinoni, Andrea, et al.
Publicado: (2026) -
The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
por: Markov, Igor L.
Publicado: (2023) -
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
por: Wan, Zishen, et al.
Publicado: (2024) -
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
por: Wan, Zishen, et al.
Publicado: (2024) -
Posture Clip: Sit properly or I wont let you work
por: Majhi, Arka, et al.
Publicado: (2026)