5k citations
- University of California San DiegoUS91 papers
- Lawrence Berkeley National LaboratoryUS24 papers
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- University of California, BerkeleyUS22 papers
- University of CambridgeGB22 papers
- Princeton UniversityUS21 papers
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- Centre National de la Recherche ScientifiqueFR18 papers
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- National Institute for AstrophysicsIT17 papers
12 papers · 1 filter
Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor
Mohammad Firas Sada, John J. Graham, Mahidhar Tatineni +3
As machine learning (ML) applications become integral to modern network operations, there is an increasing demand for network programmability that enables low-latency ML inference…
The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
Derek Weitzel, Ashton Graves, Sam Albin +9
The National Research Platform (NRP) represents a distributed, multi-tenant Kubernetes-based cyberinfrastructure designed to facilitate collaborative scientific computing. Spanning…
Comparing CPU and GPU compute of PERMANOVA on MI300A
Igor Sfiligoi
Comparing the tradeoffs of CPU and GPU compute for memory-heavy algorithms is often challenging, due to the drastically different memory subsystems on host CPUs and discrete GPUs.…
Container late-binding in unprivileged dHTC pilot systems on Kubernetes resources
Igor Sfiligoi, Yunjin Zhu, Jaime Frey
The scientific and research community has benefited greatly from containerized distributed High Throughput Computing (dHTC), both by enabling elastic scaling of user compute worklo…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
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…