Cover Image

Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ockerman, Seth, Gueroudji, Amal, Oh, Song Young, Underwood, Robert, Chia, Nicholas, Chard, Kyle, Ross, Robert, Venkataraman, Shivaram
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
by: Ockerman, Seth, et al.
Published: (2025)

Scalable GPU Performance Variability Analysis framework
by: Lahiry, Ankur, et al.
Published: (2025)

A Distributed Framework for Causal Modeling of Performance Variability in GPU Traces
by: Lahiry, Ankur, et al.
Published: (2025)

Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)

Eva: Cost-Efficient Cloud-Based Cluster Scheduling
by: Chang, Tzu-Tao, et al.
Published: (2025)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
by: Li, Yifei, et al.
Published: (2024)

SYMPHONY: Improving Memory Management for LLM Inference Workloads
by: Agarwal, Saurabh, et al.
Published: (2024)

Core Hours and Carbon Credits: Incentivizing Sustainability in HPC
by: Kamatar, Alok, et al.
Published: (2025)

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
by: Kamatar, Alok, et al.
Published: (2024)

Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems
by: Pan, Haochen, et al.
Published: (2026)

Addressing Reproducibility Challenges in HPC with Continuous Integration
by: Hayot-Sasson, Valérie, et al.
Published: (2025)

Parsl+CWL: Towards Combining the Python and CWL Ecosystems
by: Karle, Nishchay, et al.
Published: (2024)

PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
by: Jain, Rutwik, et al.
Published: (2024)

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
by: Pan, Haochen, et al.
Published: (2024)

Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophyiscs Application with HPX and Kokkos
by: Diehl, Patrick, et al.
Published: (2024)

Object Proxy Patterns for Accelerating Distributed Applications
by: Pauloski, J. Gregory, et al.
Published: (2024)

Tesserae: Scalable Placement Policies for Deep Learning Workloads
by: Bian, Song, et al.
Published: (2025)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments
by: Pruyne, Jim, et al.
Published: (2024)

Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
by: Waleffe, Roger, et al.
Published: (2025)

Experiences with Model Context Protocol Servers for Science and High Performance Computing
by: Pan, Haochen, et al.
Published: (2025)

Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies
by: Mendez, Alexander Martinez, et al.
Published: (2026)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks
by: Zhou, Sicheng, et al.
Published: (2025)

LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models
by: Chang, Tzu-Tao, et al.
Published: (2025)

Solutions for Distributed Memory Access Mechanism on HPC Clusters
by: Meizner, Jan, et al.
Published: (2025)

Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science
by: Li, Zilinghan, et al.
Published: (2025)

Accelerating Python Applications with Dask and ProxyStore
by: Pauloski, J. Gregory, et al.
Published: (2024)

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems
by: Xu, Zhihao, et al.
Published: (2025)

MPI-over-CXL: Enhancing Communication Efficiency in Distributed HPC Systems
by: Kwon, Miryeong, et al.
Published: (2025)

Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads
by: Merzky, Andre, et al.
Published: (2025)

HPC with Enhanced User Separation
by: Prout, Andrew, et al.
Published: (2024)

Analysis of the carbon footprint of HPC
by: Benhari, Abdessalam, et al.
Published: (2025)

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage
by: Gonthier, Maxime, et al.
Published: (2025)

To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
by: Wilkins, Grant, et al.
Published: (2024)

On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems
by: Arima, Eishi, et al.
Published: (2024)

GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024)

Empowering Scientific Workflows with Federated Agents
by: Kamatar, Alok, et al.
Published: (2025)

MRSch: Multi-Resource Scheduling for HPC
by: Li, Boyang, et al.
Published: (2024)

Sharding Distributed Databases: A Critical Review
by: Solat, Siamak
Published: (2024)

pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
by: Li, Yuxiao, et al.
Published: (2026)

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks
by: Pauloski, J. Gregory, et al.
Published: (2024)