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Clojure Concepts The race against multiprocessing
The Moor’s Law The number of transistors that can be placed inexpensively on an integrated circuit doubles approximately every two years. But, this is not true for single CPU unit anymore More transistors mean more CPU cores, not the higher frequency
Software bugs The most difficult bugs are: ,[object Object]
Multithread bugs,[object Object]
Memory corruption Nightmare of C and C++ programmers No doubts for Java, C# and many other programmers (thanks to GC  )
Concurrency bugs No one can feel safe
The answer: Clojure Immutability Functional language
What about state? No state in OOP sence
The real world is not a pure function References (identities) point at different values at different points of time
How? Vars – mutable local thread storage (thread isolation) Refs – mutable shared storage called Software Transactional Memory (STM). All the changes are done within transaction
How (part 2)? Agents –mutable shared storage changed asynchronously, but sequentially. Atoms – mutable shared storage changed synchronously and sequentially.
Questions?
Useful links www.clojure.org InfoQ: Are We There Yet? InfoQ: Perception and Action: An Introduction to Clojure's Time Model Time, identity, and transition in Clojure « goodmike blogs here

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Clojure concepts

  • 1. Clojure Concepts The race against multiprocessing
  • 2. The Moor’s Law The number of transistors that can be placed inexpensively on an integrated circuit doubles approximately every two years. But, this is not true for single CPU unit anymore More transistors mean more CPU cores, not the higher frequency
  • 3.
  • 4.
  • 5. Memory corruption Nightmare of C and C++ programmers No doubts for Java, C# and many other programmers (thanks to GC  )
  • 6. Concurrency bugs No one can feel safe
  • 7. The answer: Clojure Immutability Functional language
  • 8. What about state? No state in OOP sence
  • 9. The real world is not a pure function References (identities) point at different values at different points of time
  • 10. How? Vars – mutable local thread storage (thread isolation) Refs – mutable shared storage called Software Transactional Memory (STM). All the changes are done within transaction
  • 11. How (part 2)? Agents –mutable shared storage changed asynchronously, but sequentially. Atoms – mutable shared storage changed synchronously and sequentially.
  • 13. Useful links www.clojure.org InfoQ: Are We There Yet? InfoQ: Perception and Action: An Introduction to Clojure's Time Model Time, identity, and transition in Clojure « goodmike blogs here