Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
Cover Image

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Gokdemir, Ozan, Siebenschuh, Carlo, Brace, Alexander, Wells, Azton, Hsu, Brian, Hippe, Kyle, Setty, Priyanka V., Ajith, Aswathy, Pauloski, J. Gregory, Sastry, Varuni, Foreman, Sam, Zheng, Huihuo, Ma, Heng, Kale, Bharat, Chia, Nicholas, Gibbs, Thomas, Papka, Michael E., Brettin, Thomas, Alexander, Francis J., Anandkumar, Anima, Foster, Ian, Stevens, Rick, Vishwanath, Venkatram, Ramanathan, Arvind
Format: Preprint
Published: 2025
Subjects:
Information Retrieval
Computational Engineering, Finance, and Science
Computation and Language
Distributed, Parallel, and Cluster Computing
Machine Learning
H.3.3; I.2.7
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
Description
Description not available.

Similar Items

  • AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine
    by: Siebenschuh, Carlo, et al.
    Published: (2025)
  • LSHBloom: Memory-efficient, Extreme-scale Document Deduplication
    by: Khan, Arham, et al.
    Published: (2024)
  • Connecting Large Language Model Agent to High Performance Computing Resource
    by: Ma, Heng, et al.
    Published: (2025)
  • Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
    by: Tavakoli, Amin, et al.
    Published: (2025)
  • An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
    by: Shilpika, Shilpika, et al.
    Published: (2025)
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