Tungsten Project Includes These Initiatives:
- Memory Management and Binary Processing: leveraging application semantics to manage memory explicitly and eliminate the overhead of JVM object model and garbage collection
- Cache-aware computation: algorithms and data structures to exploit memory hierarchy
- Code generation: using code generation to exploit modern compilers and CPUs
- No virtual function dispatches: this reduces multiple CPU calls which can have a profound impact on performance when dispatching billions of times.
- Intermediate data in memory vs CPU registers: Tungsten Phase 2 places intermediate data into CPU registers. This is an order of magnitudes reduction in the number of cycles to obtain data from the CPU registers instead of from memory
- Loop unrolling and SIMD: Optimize Apache Spark’s execution engine to take advantage of modern compilers and CPUs’ ability to efficiently compile and execute simple for loops (as opposed to complex function call graphs).
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