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What is a systematic way to efficiently apply a wide spectrum of advanced ML programs to industrial scale problems, using Big Models (up to 100 s of billions of parameters) on Big Data (up to terabytes or petabytes)? Modern parallelization strategies employ fine-grained operations and scheduling beyond the classic bulk-synchronous processing paradigm popularized by MapReduce, or even specialized graph-based...
Routing design is widely considered as one of the most challenging parts of enterprise network design. The challenges come from the typical large scale of such networks, the diverse objectives to meet through design, and a wide variety of protocols and mechanisms to choose from. As a result network operators often find it difficult to understand and trouble-shoot the routing design of their networks...
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