EH21 - Komischen Code schreiben der schnellen Code schreibt

Learn key strategies for writing performant code, from choosing the right language and concurrency patterns to balancing optimization with maintainability and readability.

Key takeaways
  • When focusing on performance optimization, choose languages like C++ for critical sections rather than Python
  • Concurrency is a key optimization strategy and superclass optimizer in modern programming
  • Computer graphics implementations often require careful performance tuning and multiple implementation approaches
  • “Premature optimization is the root of all evil” - consider optimization timing carefully
  • Writing code that performs well requires understanding both algorithms and hardware architecture
  • Performance-critical code should be implemented in different ways to find optimal solutions
  • Zero-cost abstractions are important when optimizing code performance
  • Proper optimization requires finding the right balance between readability and speed
  • Code performance must be considered alongside maintainability and practicality
  • High performance code often requires domain-specific tuning and optimization strategies