Nxt-python-threads

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Thread Basics

• Computing device - CPU, RAM, persistant store (two ARM CPUs, etc. in the NXT)
• Stored program; Fetch, decode, execute
• Execution context - instructions, data, program counter, stack
  • Processes have all 4 (instructions, data, program counter, stack)
  • Threads have PC and stack with shared ins and data
• Workshop analogy
• Concurrency and locking
• Issues and how they can be addressed
  • Race conditions
  • Deadlock