Frank Würthwein

Affiliations:
  • San Diego Supercomputer Center, La Jolla, CA, USA
  • University of California, San Diego, CA, USA
  • California Institute of Technology, Pasadena, CA, USA
  • Cornell University, Ithaca, NY, USA (PhD 1995)


According to our database1, Frank Würthwein authored at least 53 papers between 2003 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
CRIU - Checkpoint Restore in Userspace for computational simulations and scientific applications.
CoRR, 2024

2023
Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access.
Comput. Softw. Big Sci., December, 2023

400Gbps benchmark of XRootD HTTP-TPC.
CoRR, 2023

Demand-driven provisioning of Kubernetes-like resources in OSG.
CoRR, 2023

IceCube experience using XRootD-based Origins with GPU workflows in PNRP.
CoRR, 2023

Evaluation of ARM CPUs for IceCube available through Google Kubernetes Engine.
CoRR, 2023

Testing GitHub projects on custom resources using unprivileged Kubernetes runners.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Defining a canonical unit for accounting purposes.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Effectiveness and predictability of in-network storage cache for Scientific Workflows.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Analyzing Transatlantic Network Traffic over Scientific Data Caches.
Proceedings of the 2023 on Systems and Network Telemetry and Analytics, 2023

2022
Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access.
CoRR, 2022

Data Transfer and Network Services management for Domain Science Workflows.
CoRR, 2022

The anachronism of whole-GPU accounting.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Auto-scaling HTCondor pools using Kubernetes compute resources.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Comparing single-node and multi-node performance of an important fusion HPC code benchmark.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations.
Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks.
Proceedings of the NAI '22: Proceedings of the ACM SIGCOMM Workshop on Network-Application Integration, 2022

Access Trends of In-network Cache for Scientific Data.
Proceedings of the SNTA@HPDC 2022, 2022

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches.
Proceedings of the SNTA@HPDC 2022, 2022

2021
Adapting LIGO workflows to run in the Open Science Grid.
SoftwareX, 2021

Pushing the Cloud Limits in Support of IceCube Science.
IEEE Internet Comput., 2021

Data intensive physics analysis in Azure cloud.
CoRR, 2021

Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD.
CoRR, 2021

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs.
CoRR, 2021

Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Analyzing Scientific Data Sharing Patterns for In-network Data Caching.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

HTCondor data movement at 100 Gbps.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Expanding IceCube GPU computing into the Clouds.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
Creating a content delivery network for general science on the internet backbone using XCaches.
CoRR, 2020

The Scalable Systems Laboratory: a Platform for Software Innovation for HEP.
CoRR, 2020

Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing.
CoRR, 2020

Moving the California distributed CMS xcache from bare metal into containers using Kubernetes.
CoRR, 2020

Characterizing network paths in and out of the clouds.
CoRR, 2020

High throughput science.
Proceedings of the PEARC Companion '20: Practice and Experience in Advanced Research Computing, 2020

Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing: Producing a fp32 ExaFLOP hour worth of IceCube simulation data in a single workday.
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Running a Pre-exascale, Geographically Distributed, Multi-cloud Scientific Simulation.
Proceedings of the High Performance Computing - 35th International Conference, 2020

2019
The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data.
Proceedings of the 15th International Conference on eScience, 2019

2018
The Pacific Research Platform: Making High-Speed Networking a Reality for the Scientist.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2017
Data Access for LIGO on the OSG.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

2015
Designing Computing System Architecture and Models for the HL-LHC era.
CoRR, 2015

Characterizing a High Throughput Computing Workload: The Compact Muon Solenoid (CMS) Experiment at LHC.
Proceedings of the International Conference on Computational Science, 2015

Any Data, Any Time, Anywhere: Global Data Access for Science.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2013
Using Gordon to accelerate LHC science.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

2011
A Science Driven Production Cyberinfrastructure - the Open Science Grid.
J. Grid Comput., 2011

Experiences Using GlideinWMS and the Corral Frontend across Cyberinfrastructures.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

2010
Distributed Analysis in CMS.
J. Grid Comput., 2010

2009
Interoperation of world-wide production e-Science infrastructures.
Concurr. Comput. Pract. Exp., 2009

The Pilot Way to Grid Resources Using glideinWMS.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Authorisation and identity mapping services for the Open Science Grid.
Int. J. High Perform. Comput. Netw., 2008

2006
Division of Labor: Tools for Growing and Scaling Grids.
Proceedings of the Service-Oriented Computing, 2006

Using Condor Glide-Ins and Parrot to Move from Dedicated Ressources to the Grid.
Proceedings of the ARCS 2006, 2006

2003
Management of Grid Jobs and Information within SAMGrid
CoRR, 2003


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