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[SPCL_Bcast] Challenges of Scaling Deep Learning on HPC Systems
HPC and Big Data – Part E: Challenges and Opportunities, Conclusions
JuliaHub - The best way to run large scale computing in the cloud
High-Performance Scalable Deep Learning (and its impact on scientific computing)
HC33-T1.3: Machine Learning Performance and Challenges, Part 3
Parallel & Scalable Machine & Deep Learning driven by High Performance Computing (HPC)
Deep Learning: Convergence of HPC & Hyperscale
XLDB 2013: The Now and Later of Large Scale Computing at Chevron
Architectural Challenges and Potential Solutions for the Convergence of Big Data, HPC and AI
The Convergence of HPC and Deep Learning
DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications
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Last Updated: September 27, 2026
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Summary
In this episode of Scientific Software Horizons, co-hosts Michael Heroux and Lois Curfman McInnes welcome Sadaf Alam, ... Speaker: Mohamed Wahib Venue: SPCL_Bcast, recorded on 5 May, 2022 Abstract: Perspectives on High-Performance JuliaHub( juliahub.com/lp/) helps you read, write, run and share Julia code and applications. JuliaHub is the quickest, ... Tutorial 1, Part 3, Hot Chips 33 (2021), Sunday, August 22, 2021. Organizers: Natalia Vassilieva, Cerebras, David Kanter, Real ... Speaker: Peter Breunig (Chevron) XLDB-2013 website: xldb.org/2013 Copyright 2013 Stanford University This work is ... In this video from the 2018 Swiss Presented at IEEE/ACM International Symposium in Cluster, Cloud, and Internet
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