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Intro: Speaker's Credentials

Basics: Naive question

Basics: Getting the units right

Basics: Benchmarks are experiments

Basics: Experimental Control

Basics: Common Wisdom

Basics: The Root Cause

Basics: Evil Optimizations

Basics: Know Thy Optimizations

Basics: JMH API Sneak Peek

Basics: Warmup plateaus

System: Optimization Quiz (A)

System: Power management

System: OS Schedulers

VM: Optimization Quiz (B)

VM: Dead-code elimination

VM: DCE, Avoiding

VM: DCE, Blackholes

VM: Optimization Quiz (C)

VM: Constant folding, etc.

VM: DCE and CSE are brothers

VM: Optimization Quiz (D), #2

VM: Optimization Quiz (E). #3

VM: Profile feedback

VM: Optimization Quiz (F). #2

VM: Run-to-run variance

VM: Inlining budgets

VM: Inlining example

CPU: Cache capacity

CPU: Optimization Quiz (G) Scalability for this code?

CPU: Optimization Quiz (G). #2

CPU: Bulk method transfers

CPU: Optimization Quiz (H)

CPU: Branch Prediction

Conclusion: Benchmarking is serious

Conclusion: Things on list to do

Description:

Dive into an in-depth 43-minute Java conference talk on JVM benchmarking presented by Aleksey Shipilev. Explore essential concepts including naive questioning, proper unit usage, and treating benchmarks as experiments. Learn about experimental control, common wisdom, root causes, and evil optimizations. Gain insights into JMH API, warmup plateaus, power management, and OS schedulers. Examine various optimization techniques such as dead-code elimination, constant folding, and profile feedback. Understand the intricacies of inlining budgets, cache capacity, bulk method transfers, and branch prediction. Conclude with a comprehensive understanding of the seriousness of benchmarking and future considerations in this field.

JVM Benchmarking Techniques and Pitfalls - Lecture by Aleksey Shipilev

Java

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#Programming #Programming Languages #Java #Computer Science #Computer Architecture #Branch Prediction #Social Sciences #Research Methods #Experimental Design

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