Andrew Or
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| title | conference | date |
|---|---|---|
| Deep Dive: Spark Memory Management | Data By the Bay 2016 | 2016-05-16 |
Covers how Spark actually divides JVM heap between execution and storage and the change to unified memory management (Spark 1.6) that lets execution borrow… | ||
| DBTB INT Andrew Or r | Data By the Bay 2016 | 2016-05-16 |
Overview of how Apache Spark hides its internal complexity: which runtime components (scheduler, shuffle, memory manager) enforce the abstractions, which APIs… | ||
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