An experimental study of memory management in Rust programming for big data processing
Planning optimized memory management is critical for Big Data analysis tools to perform faster runtime and efficient use of computation resources. Modern Big Data analysis tools use application languages that abstract their memory management so that developers do not have to pay extreme attention to...
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| Language: | en_US |
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2020
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| Online Access: | https://hdl.handle.net/2144/41789 |