SESSION + Live Q&A
Java at Speed
Getting the most of your Java applications can be an interesting challenge. Understanding some of the optimizations the latest crop of JVMs are able to apply when running on the latest servers may help with that.
This talk will discuss some of those features and optimizations. Along with discussing JIT compiler capabilities, we will dive into how such optimizations interplay with warmup, startup, rare executions, and dynamic JIT adaptations. We will also discuss the issues that these techniques can introduce when speed "right out of the gate" or "at rare but critical times" is an important consideration. We'll even throw in some fun examples of micro-benchmarking pitfalls that often come in the way of understanding what reality looks like in such environments.
If you like to geek out to the sound of mechanical sympathy discussions, this is the talk for you.
Speaker
Gil Tene
CTO and co-founder @AzulSystems
Gil Tene is CTO and co-founder of Azul Systems. He has been involved with virtual machine and runtime technologies for the past 25 years. His pet focus areas include system responsiveness and latency behavior. Gil is a frequent speaker at technology conferences worldwide, and an official JavaOne...
Read moreFind Gil Tene at:
Location
Mountbatten, 6th flr.
Track
Topics
Java 11PerformanceOptimizationPerformance TuningSilicon ValleyShare
From the same track
CRDTs and the Quest for Distributed Consistency
We all know how to build applications that rely on a central server. However, such centralisation is not always desirable, and recently there has been new interest in developing decentralised applications. Blockchains inevitably come up in that conversation, but when you examine them critically,...
Martin Kleppmann
Software Engineer, Author, & Samza and Avro Committer
Consensus: Why Can't We All Just Agree?
Reaching agreement is never easy and distributed systems are no exception to this rule. In this talk, we take a journey though the history, to the current reality and look ahead to the future for distributed consensus. We start over three decades ago, when the field of distributed consensus began...
Heidi Howard
Distributed Systems PhD Candidate @CambridgeComputerLab
Formal Methods at Amazon Web Services
Security is a top priority at Amazon Web Services. As we have a shared responsibility model with customers, AWS manages the components from the operating system down to the physical security of the facilities; AWS customers are responsible for building secure applications on top of it. In this...
Michael Tautschnig
Software Development Engineer @AWS Security
Modern CS Open Space
How Performance Optimizations Shatter Security Boundaries
With the customers demand of high-performance computing, CPU manufacturers deploy more and more sophisticated optimizations in their processors to increase the performance as much as possible. However, these performance optimizations often come with the downside of enabling side-channel attacks...
Moritz Lipp
Researcher in Information Security at Graz University of Technology