This infographic titled “Together” emphasizes the critical importance of parallel processing = working together across all domains – computing, AI, and human society.
Core Concept:
The Common Thread Across All 5 Domains – ‘Parallel Processing’:
- Parallel Processing – Simultaneous task execution in computer systems
- Deep Learning – AI’s multi-layered neural networks learning in parallel
- Multi Processing – Collaborative work across multiple processors
- Co-work – Human collaboration and teamwork
- Social – Collective cooperation among community members
Essential Elements of Parallel Processing:
- Sync (Synchronization) – Coordinating all components to work harmoniously
- Share (Sharing) – Efficient distribution of resources and information
- Optimize (Optimization) – Maximizing performance while minimizing energy consumption
- Energy (Energy) – The inevitable cost required when working together
Reinterpreted Message: “togetherness is always difficult, but it’s something we have to do.”
This isn’t merely about the challenges of cooperation. Rather, it conveys that parallel processing (working together) in all systems requires high energy costs, but only through optimization via synchronization and sharing can we achieve true efficiency and performance.
Whether in computing systems, AI, or human society – all complex systems cannot advance without parallel cooperation among individual components. This is an unavoidable and essential process for any sophisticated system to function and evolve. The insight reveals a fundamental truth: the energy investment in “togetherness” is not just worthwhile, but absolutely necessary for progress.
With Claude
Lechuck Park 