Workshop: Tweet"Lock-free and High-Performance algorithms"

Time: Friday 09:00 - 16:00 / Location: Training 4

Understanding Mechanical Sympathy

Performance considerations on modern hardware
How modern x86-64 hardware informs concurrent and high performance programming techniques
Memory models for software and hardware
Why contention of any type is the enemy and how to avoid it
How we manage contention when we absolutely must

Concurrent and High-performance Algorithm Design

Lock-free concurrency primitives
Signalling state change
Ensuring order
Preventing speculative execution during critical data exchanges
Managing contended state
Wait-free techniques
API design to avoid the latency J-curve
Efficient back-off strategies
Discovering hidden contention and how to avoid it

The candidates should have Java 6 or 7, and Ant installed.

Martin Thompson, TweetHigh-Performance & Low-Latency Specialist at Real Logic

Biography: Martin Thompson

Martin is a high-performance and low-latency specialist, with over two decades working with large scale transactional and big-data systems, in the automotive, gaming, financial, mobile, and content management domains. He believes in Mechanical Sympathy, which is applying an understanding of the hardware to the creation of software, being fundamental to delivering elegant high-performance solutions. Martin was the co-founder and CTO of LMAX, until he left to specialise in helping other people achieve great performance with their software. The Disruptor concurrent programming framework is just one example of what his mechanical sympathy has created.

Twitter: @mjpt777
Video presentations: 4YOW! 2011: Martin Thompson - On Concurrent Programming and Concurrency Folklore