Track: Bare Knuckle Performance

10:35am - 11:25am

Interaction Protocols: It's All About Good Manners

Distributed and concurrent systems can be considered a social group that collaborate to achieve collective goals. In order to collaborate a system of rules must be applied that affords good hygiene, fault tolerance, and effective communication to coordinate, share knowledge, and provide feedback in a trusted manner. These rules form a number of protocols which enable the group to act as a system which is greater than the sum of the individual components.

In this talk we will explore the history of protocols and their application when building distributed systems. Protocols provide the foundation on which the quality attributes are delivered. Qualities such as performance, resilience, and security.

11:50am - 12:40pm

Panel: Performance - What's Next?

A lot of the techniques and approaches that we use for developing and improving software performance are tried and tested rather than innovative. But what does the future hold - will be doing the same things in 5, 10 or 20 years time or will software evolve?

1:40pm - 2:30pm

Applying Concurrency Cookbook Recipes to SPEC JBB

Our overarching goal was to understand, quantify and highlight the consequences of certain choices of fences when compiling Java constructs down to hardware platforms such as ARM, IBM Power or Intel x86. We used Doug Lea's cookbook as a compilation guide, and SPEC JBB as our reference benchmark. More precisely, we followed the recipes appearing in the cookbook and applied them to SPEC JBB. This talk reports our findings, both from a soundness and efficiency point of view. We hope that the attendees of this talk will benefit from:

1. an introduction to relaxed memory consistency as implemented in Java, which in turn motivates the need for memory barriers in concurrent code;
2. a presentation of our performance analysis methodology;
3. a detailed report on the performance implications of memory barriers, specifically:

• on the performance measurement front: we use Java Micro-benchmarking Harness (JMH) to understand and showcase these performance implications better;
• on the performance analysis front: we look at profiling snippets to be able to highlight hot code;
• on the performance study front: we examine the implications of the use of memory barriers on core and SMT scaling.

2:55pm - 3:45pm

Novel Algos and Optimizations in JCTools Concurrent Queues

Bitwise tricks, memory layout, minimal memory ordering primitives and some innovation result in queues that leave their JDK alternatives in the dust.
In this talk we will follow several examples of optimizations, tradeoffs and implementation details from the JCTools library. In addition we will explore the driving forces behind some of JCTools novel algorithms and their applicability.

4:10pm - 5:00pm

Continuous Profiling in Production: What, Why and How

Everyone wants to understand what their application is really doing in production, but this information is normally invisible to JVM developers. Profilers tell you what code your application is running but few developers profile and mostly on their development environments. Thankfully production profiling is now a practical reality that can help you solve and avoid performance problems.

Profiling in development can be problematic because it’s rare that you have a realistic workload or performance test for your Java Virtual Machine. Even if you’ve got accurate perf tests maintaining these and validating that they represent production systems is hugely time consuming and hard. Not only that but often the hardware and operating system that you run in production are different from your development environment.

This pragmatic talk will help you understand the ins and outs of profiling in a production system. You’ll learn about different techniques and approaches that help you understand what’s really happening with your system. This helps you to solve new performance problems, regressions and undertake capacity planning exercises

5:25pm - 6:15pm

Peddle the Pedal to the Metal

Tips and techniques for writing highly efficient and scalable software drawn from decades of experience. You'll see that the guiding principle is a simple one, and can be applied nearly everywhere. The talk is focused on programming in C.