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UpDown: Combining Scalable Address Translation with Locality Control
DescriptionGlobal shared memories of petabytes are increasingly useful for applications, but traditional page-based techniques do not scale (limit reach), and scalable techniques such as segments fail to provide needed locality control. We propose a novel two-level translation scheme, UpDown, that provides compact, efficient access control to distributed segments of arbitrary size and data layout control, solving problems of reach and data locality. UpDown's novel two-level structure separates access control from data layout, allowing applications to manage locality cheaply, without privileged operations.

We evaluate UpDown against page-based systems, using big data computations. Our results show that UpDown is scalable and provides effective global data locality management. UpDown's translation states are an average of ∼620 billion times smaller total. UpDown's local translation state is ∼130 billion times smaller. Simulations with synthetic traces show that the two-level translation scheme enables fast, user-level management of data locality in a scalable parallel machine.
Event Type
Workshop
TimeSunday, 17 November 20244:45pm - 5:10pm EST
LocationB302
Tags
Data Movement and Memory
Emerging Technologies
Registration Categories
W