5 of Latest Published Articles:
Distributed, Parallel, and Cluster Computing
#DistributedParallelandClusterComputing
🗒 Distributed ReliefF based Feature Selection in Spark
👥 Raul-Jose Palma-Mendoza, Daniel Rodriguez, Luis de-Marcos
📗 PDF
🗒 OpenCL Performance Prediction using Architecture-Independent Features
👥 Beau Johnston, Greg Falzon, Josh Milthorpe
📗 PDF
🗒 Democratizing Production-Scale Distributed Deep Learning
👥 Minghuang Ma, Hadi Pour Ansari, Daniel Chao, Saurabh Adya, Santiago Akle, Yi Qin, Dan Gimnicher, Dominic Walsh
📗 PDF
🗒 Making root cause analysis feasible for large code bases: a solution approach for a climate model
👥 Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, Youngsung Kim, Elizabeth R. Jessup, Thomas Hauser
📗 PDF
🗒 A Concurrent Unbounded Wait-Free Graph
👥 Sathya Peri, Chandra Kiran Reddy, Muktikanta Sa
📗 PDF
#DistributedParallelandClusterComputing
AI Python & arXiv Channel
Distributed, Parallel, and Cluster Computing
#DistributedParallelandClusterComputing
🗒 Distributed ReliefF based Feature Selection in Spark
👥 Raul-Jose Palma-Mendoza, Daniel Rodriguez, Luis de-Marcos
🗒 OpenCL Performance Prediction using Architecture-Independent Features
👥 Beau Johnston, Greg Falzon, Josh Milthorpe
🗒 Democratizing Production-Scale Distributed Deep Learning
👥 Minghuang Ma, Hadi Pour Ansari, Daniel Chao, Saurabh Adya, Santiago Akle, Yi Qin, Dan Gimnicher, Dominic Walsh
🗒 Making root cause analysis feasible for large code bases: a solution approach for a climate model
👥 Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, Youngsung Kim, Elizabeth R. Jessup, Thomas Hauser
🗒 A Concurrent Unbounded Wait-Free Graph
👥 Sathya Peri, Chandra Kiran Reddy, Muktikanta Sa
#DistributedParallelandClusterComputing
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Forwarded from arXiv
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