activity
20212026
most citedCoffea-casa: an analysis facility prototype

8 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

physics.ins-det2026

WLCG Mini-Capability Challenge: Host Tuning to Im- prove WAN Data Transfers

Andrew Malone Melo, Carlos Fernando Gamboa, Diego Devila Foyo +8

High-throughput data movement is a defining requirement of the WLCG computing model, yet end-to-end performance is often constrained less by the network backbone than by host-level…

hep-ex2025

The 200 Gbps Challenge: Imagining HL-LHC analysis facilities

Alexander Held, Sam Albin, Garhan Attebury +22

The IRIS-HEP software institute, as a contributor to the broader HEP Python ecosystem, is developing scalable analysis infrastructure and software tools to address the upcoming HL-…

hep-ex2025

Tuning the CMS Coffea-casa facility for 200 Gbps Challenge

Sam Albin, Garhan Attebury, Kenneth Bloom +7

As a part of the IRIS-HEP "Analysis Grand Challenge" activities, the Coffea-casa AF team executed a "200 Gbps Challenge". One of the goals of this challenge was to provide a setup…

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…

physics.data-an2022★ 2 cited

Collaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques

Maria Acosta Flechas, Garhan Attebury, Kenneth Bloom +7

Prior to the public release of Kubernetes it was difficult to conduct joint development of elaborate analysis facilities due to the highly non-homogeneous nature of hardware and ne…

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…