15 citations · 42 across the 8 of their papers we have counts for
9 papers
IceCube Takes Flight with Pelican - A First Experience
David Schultz, Maclean Mansfield-Parisi
The IceCube Neutrino Observatory has removed GridFTP and x.509 certificate authentication for data transfers, migrating to the Pelican Platform, the Open Science Data Federation, a…
IceCube experience using XRootD-based Origins with GPU workflows in PNRP
David Schultz, Igor Sfiligoi, Benedikt Riedel +3
The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope located at the geographic South Pole. Understanding detector systematic effects is a continuous process. Th…
Evaluation of ARM CPUs for IceCube available through Google Kubernetes Engine
Igor Sfiligoi, David Schultz, Benedikt Riedel +1
The IceCube experiment has substantial simulation needs and is in continuous search for the most cost-effective ways to satisfy them. The most CPU-intensive part relies on CORSIKA,…
The anachronism of whole-GPU accounting
Igor Sfiligoi, David Schultz, Frank Würthwein +2
NVIDIA has been making steady progress in increasing the compute performance of its GPUs, resulting in order of magnitude compute throughput improvements over the years. With sever…
Expanding IceCube GPU computing into the Clouds
Igor Sfiligoi, Shava Smallen, Frank Würthwein +3
The IceCube collaboration relies on GPU compute for many of its needs, including ray tracing simulation and machine learning activities. GPUs are however still a relatively scarce…
Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links
Igor Sfiligoi, Michael Hare, David Schultz +5
Many scientific high-throughput applications can benefit from the elastic nature of Cloud resources, especially when there is a need to reduce time to completion. Cost consideratio…
Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing
I. Sfiligoi, D. Schultz, B. Riedel +3
Scientific computing needs are growing dramatically with time and are expanding in science domains that were previously not compute intensive. When compute workflows spike well in…
Running a Pre-Exascale, Geographically Distributed, Multi-Cloud Scientific Simulation
Igor Sfiligoi, Frank Wuerthwein, Benedikt Riedel +1
As we approach the Exascale era, it is important to verify that the existing frameworks and tools will still work at that scale. Moreover, public Cloud computing has been emerging…
The IceProd Framework: Distributed Data Processing for the IceCube Neutrino Observatory
M. G. Aartsen, R. Abbasi, M. Ackermann +284
IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, iden- tify the particle nature of dark matter, and study high-energy…