Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Toward Cross-Layer Energy Optimizations in AI Systems
Cover Image

Toward Cross-Layer Energy Optimizations in AI Systems

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Chung, Jae-Won, Talati, Nishil, Chowdhury, Mosharaf
Format: Preprint
Published: 2024
Subjects:
Machine Learning
Hardware Architecture
Distributed, Parallel, and Cluster Computing
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2404.06675

Similar Items

  • ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs
    by: Verma, Tarunesh, et al.
    Published: (2025)
  • MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
    by: Tschand, Arya, et al.
    Published: (2024)
  • NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly
    by: Kim, Heewoo, et al.
    Published: (2025)
  • Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning
    by: Russo, Enrico, et al.
    Published: (2024)
  • LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
    by: Li, Mufei, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar