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This talk addresses Macro-based Scala Parallel Collections with a particular focus on what the new design means for the users.

With the arrival of Scala Macros a new breed of optimization opportunities present themselves for the Scala Parallel Collections.

Many abstraction penalties have been overcome through macro-based callsite specialization. This eliminates boxing and iterators, uses heavy inlining and applies fusion optimizations - consequently achieving optimal baseline performance.

Parallel Collections also come with a redesigned scheduler that achieves better load balancing for tasks with heavily skewed workloads. In addition, the new scheduler is highly configurable and can be tuned for specific applications. And finally, the new Scala Parallel Collections features a new API based on implicit value classes that reduces the number of intermediate classes and allows looser coupling with standard library collections.

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