activity
20142026
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 594 across the 44 of their papers we have counts for

collaborators
Showing cs.DCShow all

24 papers · 1 filter

cs.DC2024★ 1 cited

CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications

Fabio Andrijauskas, Igor Sfiligoi, Diego Davila +5

Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many ap…

cs.DC2023

Coffea-Casa: Building composable analysis facilities for the HL-LHC

Sam Albin, Garhan Attebury, Kenneth Bloom +4

The large data volumes expected from the High Luminosity LHC (HL-LHC) present challenges to existing paradigms and facilities for end-user data analysis. Modern cyberinfrastructure…

cs.DC2021

Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD

Edgar Fajardo, Aashay Arora, Diego Davila +3

The High Luminosity Large Hadron Collider provides a data challenge. The amount of data recorded from the experiments and transported to hundreds of sites will see a thirty fold in…

cs.DC2021★ 8 cited

Coffea-casa: an analysis facility prototype

Matous Adamec, Garhan Attebury, Kenneth Bloom +4

Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event. The "Co…

cs.DC2021★ 9 cited

An intelligent Data Delivery Service for and beyond the ATLAS experiment

Wen Guan, Tadashi Maeno, Brian Paul Bockelman +5

The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been…

cs.DC2020

Adapting LIGO workflows to run in the Open Science Grid

Edgar Fajardo, Frank Wuerthwein, Brian Bockelman +5

During the first observation run the LIGO collaboration needed to offload some of its most, intense CPU workflows from its dedicated computing sites to opportunistic resources. Ope…

cs.DC2020★ 8 cited

Third-party transfers in WLCG using HTTP

Brian Bockelman, Andrea Ceccanti, Fabrizio Furano +3

Since its earliest days, the Worldwide LHC Computational Grid (WLCG) has relied on GridFTP to transfer data between sites. The announcement that Globus is dropping support of its o…

cs.DC2020★ 4 cited

Towards an Intelligent Data Delivery Service

Wen Guan, Tadashi Maeno, Gancho Dimitrov +4

The ATLAS Event Streaming Service (ESS) at the LHC is an approach to preprocess and deliver data for Event Service (ES) that has implemented a fine-grained approach for ATLAS event…

cs.DC2020★ 10 cited

Creating a content delivery network for general science on the internet backbone using XCaches

Edgar Fajardo, Marian Zvada, Derek Weitzel +9

A general problem faced by computing on the grid for opportunistic users is that delivering cycles is simpler than delivering data to those cycles. In this project we show how we i…

cs.DC2020★ 1 cited

Exploring Erasure Coding Techniques for High Availability of Intermediate Data

Zhe Zhang, Brian Bockelman, Derek Weitzel +1

Scientific computing workflows generate enormous distributed data that is short-lived, yet critical for job completion time. This class of data is called intermediate data. A commo…

cs.DC2020

Trua: Efficient Task Replication for Flexible User-defined Availability in Scientific Grids

Zhe Zhang, Brian Bockelman, Derek Weitzel +3

Failure is inevitable in scientific computing. As scientific applications and facilities increase their scales over the last decades, finding the root cause of a failure can be ver…

cs.DC2019

Speeding HEP Analysis with ROOT Bulk I/O

Brian Bockelman, Zhe Zhang, Oksana Shadura

Distinct HEP workflows have distinct I/O needs; while ROOT I/O excels at serializing complex C++ objects common to reconstruction, analysis workflows typically have simpler objects…

cs.DC2019★ 8 cited

SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor

Alex Withers, Brian Bockelman, Derek Weitzel +7

The management of security credentials (e.g., passwords, secret keys) for computational science workflows is a burden for scientists and information security officers. Problems wit…

cs.DC2019★ 17 cited

StashCache: A Distributed Caching Federation for the Open Science Grid

Derek Weitzel, Marian Zvada, Ilija Vukotic +6

Data distribution for opportunistic users is challenging as they neither own the computing resources they are using or any nearby storage. Users are motivated to use opportunistic…

cs.DC2019★ 188 cited

Rucio - Scientific data management

Martin Barisits, Thomas Beermann, Frank Berghaus +27

Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distr…

cs.DC2018★ 1 cited

Discovering Job Preemptions in the Open Science Grid

Zhe Zhang, Brian Bockelman, Derek Weitzel +1

The Open Science Grid(OSG) is a world-wide computing system which facilitates distributed computing for scientific research. It can distribute a computationally intensive job to ge…

cs.DC2018★ 27 cited

SciTokens: Capability-Based Secure Access to Remote Scientific Data

Alex Withers, Brian Bockelman, Derek Weitzel +5

The management of security credentials (e.g., passwords, secret keys) for computational science workflows is a burden for scientists and information security officers. Problems wit…

cs.DC2018

Increasing Parallelism in the ROOT I/O Subsystem

Guilherme Amadio, Brian Bockelman, Philippe Canal +3

When processing large amounts of data, the rate at which reading and writing can take place is a critical factor. High energy physics data processing relying on ROOT is no exceptio…

cs.DC2017

Optimizing ROOT IO For Analysis

Brian Bockelman, Zhe Zhang, Jim Pivarski

The ROOT I/O (RIO) subsystem is foundational to most HEP experiments - it provides a file format, a set of APIs/semantics, and a reference implementation in C++. It is often found…

cs.DC2017★ 34 cited

HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation

Burt Holzman, Lothar A. T. Bauerdick, Brian Bockelman +15

Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the di…

cs.DC2017★ 3 cited

Data Access for LIGO on the OSG

Derek Weitzel, Brian Bockelman, Duncan A. Brown +3

During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. These observations delivered the first direct detec…

cs.DC2017★ 2 cited

Exploring compression techniques for ROOT IO

Zhe Zhang, Brian Bockelman

ROOT provides an flexible format used throughout the HEP community. The number of use cases - from an archival data format to end-stage analysis - has required a number of tradeoff…

cs.DC2015

Designing Computing System Architecture and Models for the HL-LHC era

Lothar Bauerdick, Brian Bockelman, Peter Elmer +3

This paper describes a programme to study the computing model in CMS after the next long shutdown near the end of the decade.

cs.DC2014★ 1 cited

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

David Abdurachmanov, Brian Bockelman, Peter Elmer +3

Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a cr…