Java Future: Faster Innovation and Evolution
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This document discusses upcoming innovations for the Java programming language. It describes several new projects at IBM that will improve Java, such as projects to add support for native code interoperability (Panama), value types and memory efficiency (Valhalla), new language features (Amber), and asynchronous programming (Loom). It also discusses how Java will continue to evolve more quickly with a predictable release schedule. Finally, it mentions how these changes will help Java stay relevant in an era of cognitive computing and artificial intelligence.
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Java Future: Faster Innovation and Evolution
- 1. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Java Meetup - Bangalore Java futurity A new era in technology, a new era in business.
- 2. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Slides Credits Steve J Wallin, Program Director, IBM Runtimes
- 3. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION proven experimental hypothetical Java Future
- 4. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION predictable consistent cadence easier migration increased innovation Java will evolve faster
- 5. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION numbering long term support time to transition Java will evolve faster
- 6. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION lambda streams modules reactive streams panama valhalla amber loom Java innovation is a journey
- 7. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Isthmus of Panama
- 8. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Panama Better interop with native languages metadata based binding, type-safety JIT optimization, access to hardware GC-awareness of native memory
- 9. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Valhalla Value types, memory efficiency Generics over primitives Supports Panama
- 10. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Amber switch expressions, enhanced enums raw string literals, pattern matching type inference*, local vars for lambda params
- 11. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
- 12. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Loom fibers managed by the runtime asynchronous IO continuations
- 13. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Are you ready to solve the new problems, the right way?
- 14. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Where code goes, where data flows, cognition will follow.
- 15. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION CONSIDER: Cognitive systems can *understand* the world through sensing and interaction, *reason* using hypotheses and arguments and *learn* from experts and through data. Watson is the most advanced such system. Today, businesses in countries across. There are Watson ecosystem partner companies, with 78% of business and IT executives believe that successful business will manage employees alongside intelligent machines. On average there are Among C-Suite executives familiar with cognitive computing: 96% 84% 94% 89% in insurance intend to invest in cognitive capabilities. in healthcare believe it will play a disruptive role in the industry, and 60% believe they lack the skilled professionals and technical experience to achieve it. in retail intend to invest in cognitive capabilities. in telecommunications believe it will have a critical impact on the future of their business. 36 17industries are applying cognitive technologies. 350+ 100of those have taken their product to market. 1.3BWatson API calls a month and growing.
- 16. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION We can now confer on every digitized object, product, process and service a kind of thinking ability. How, and why now? Data is transforming industries and professions. The world is being reinvented in code. Computing is entering a new Cognitive Era.
- 17. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Imagine the possibilities… Tailoring responses to the personalities of your customers without meeting a single one of them. Knowing the latest, most significant developments in your profession or industry the moment they take place Products and services that improve themselves over time, learning from and adapting to the world around them. Processes that identify their own inefficiencies-and address them automatically-in real time. Uncovering patterns, resources, trends and other competitive advantages invisible to competitors and their information systems.
- 18. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION PROBLEM: solving a word search puzzle meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d v g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m
- 19. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION CLASSICALLY: meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d f g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m
- 20. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION PARTITIONING: meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d f g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m Executor node Executor node Executor node Executor node
- 21. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION PARTITIONING: meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d f g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m Executor node Executor node Executor node Executor node CPU GPU FPGA ASIC
- 22. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION IBM + NVIDIA Improving Java application performance with GPU exploitation is available in IBM Java 8 today. standard SE API optimisation as well as CUDA4J for explicit low level control +
- 23. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION NEURAL: meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d f g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m
- 24. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION SYNAPSE: A program to develop a neuromorphic processor that is a new kind of cognitive computer. Designed to simulate the neurones and dendrites of the brain for low power efficient operation
- 25. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Qubits IBM Q Experience! Atoms at a few Kelvins Superposition Entanglement
- 26. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION QUANTUM: meetup java ibm cognitive a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d v g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m Grovers Search algorithm could be used if the source data were to structured to allow the highest probable locations of the words by fastest possible search algorithm O(√N)
- 27. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION HOW DO YOU THINK? a e k j c b a o a j l g m e e t u p a p l n a v a a j v i o p c m e i e t u p a a r d a t a j a j k l u t w i q a y a m h d u e n x v d f g a j o d g t f f a u i a a s o g a g t v c z i a c h j a i b m Executor node Executor node Executor node Executor node CLASSIC NEURAL BIG DATA QUANTUM
- 28. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION CO-PROCESSORS: Do you recall Panama and Valhalla?
- 29. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION The world is being reinvented in code. Java code. HOW, AND WHY NOW?
- 30. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION OPPORTUNITY: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business. HEALTHCARE DATA GOVERNMENT & EDUCATION DATA 99% 88% 94% 84% Healthcare data comes from sources such as: Government & education data comes from sources such as: Patient Sensors Electronic Medical Records Test Results Vehicle Fleet Sensors Traffic Sensors Student Evaluations UTILITIES DATA MEDIA DATA 93% 84% 97% 82% Utilities data comes from sources such as: Media data comes from sources such as: Utility Sensors Employee Sensors Location Data Video and Film Images Audio By 2020, of new information will be created every second for every human being on the planet. growth by 2017 unstructured growth by 2017 unstructured 1.7 MB growth by 2017 unstructured growth by 2017 unstructured
- 31. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Computing is entering a new cognitive era. What do you Think when you solve a problem? HOW, AND WHY NOW?
- 32. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Editor's Notes
- When we wish to peep into the future, we must start with the present. Looking at Java’s future is no different. Java’s current users are doing great wonders with Java. However, it is very important to appreciate the fast changing needs of users and present to them a pipeline of features and ideas! Some ideas they can experiment with, and others that they can start hypothesizing. This presentation is pretty much about those ideas.
- How many use features of Java 8 today? How many have moved to modularity? There’s the catch. 6-7(5 years) 7-8(3 years) 8-9(3 years) New release schedule better. Releases gapped at 6 months each. Easier migration. Incremental innovation.
- The new numbering system (year.month) Current LTS is Java 8. LTS releases once in 3 years. Next LTS will be Java 11(18.9)
- Who’s used lambdas and streams? And jigsaw or reactive streams? Heard of the new projects in Java?
- How many of used the JNI and developed native code? Switching between managed and unmanaged runtimes. JNI is extremely challenging. Panama needs Valhalla
- Primitives and Objects. Data structures have to be objects. They can’t be primitives. Object header is a big overhead for large arrays of simple data structures. Example: complex numbers, tuples like a 2D point etc.
- A lot of language enhancements. Type inference was introduced in Java 10. In future, we will have raw string literals that will remove the ”escape-hell”. Pattern matching is a really powerful functional programming construct.
- New concurrency model: ForkJoinPool + Continuations Project Loom proposes light weight threads called fibers. Fibers are managed by the Java runtime scheduler (ForkJoinPool). Continuations are really cool programming constructs that can be paused and resumed. The new concurrency model is going to be running continuations on fibres. You pause when you need something, you continue when you have it. This async model of IO has been a great success with many languages.
- Everything that runs on code, generates data. What’s next? Cognition. Cognition in simple words is “understanding data to provide meaningful insights”.
- Everything that runs on code, generates data. What’s next? Cognition. Cognition in simple words is “understanding data to provide meaningful insights”.
- The problems of the future are different! Are we ready to solve them? We have modeled a large part of the observable universe. There’s much more left. Anything, that is modeled, can now have a thinking ability. It can provide you with deep insights. Data is the new oil. Computing has entered a new era – Cognitive era.
- Gleaning insights about your customer’s personality. Finding news that really matters to you. Products, services and processes that improve themselves. Intelligent sales.
- Offloading to dedicated co-processors.
- GPU’s have parallelism baked into them. They can be exploited for certain tasks.
- Buiding a neural network to do the search? Finding something with enough confidence.
- Deep-learning chip! Von Neumann machines mimic the left brain. Cognitive architectures mimic the right brain (neural networks). Mimics the function, real-time, low power, small size of the human brain. Corolet language.
- Quantum algorithms - Grover’s Algorithm. Big Boost to AI. Caffeine modelling. We could offload certain computations to a quantum computer.