The End of Moore's Law and the Future of Computing PerformanceThe Automobile Industry Parallel1960s: Focus on power over efficiency (muscle cars, gas guzzlers)Evolution through Japanese efficiency, turbocharging, to electric vehiclesSimilar pattern now happening in computingThe Python Performance CrisisMatrix multiplication example: 7 hours vs 0.5 seconds60,000x performance difference through optimizationDemonstrates massive inefficiencies in modern languagesIndustry was misled by Moore's Law into deprioritizing performancePerformance Improvement HierarchyLanguage Choice Improvements:Java: 11x faster than PythonC: 50x faster than PythonWhy stop at C-level performance?Additional Optimization Layers:Parallel loops: 366x speedupParallel divide and conquerVectorizationChip-specific featuresThe New Reality in 2025Moore's Law's automatic performance gains are goneLLMs make code generation easier but not necessarily betterNeed experts who understand performance optimizationPushing for "faster than C" as the new standardFuture DirectionsModern compiled languages gaining attention (Rust, Go, Zig)Example: 16KB Zig web server in DockerRethinking architectures:Microservices with tiny containersWebAssembly over JavaScriptPerformance-first designKey Paradigm ShiftsDeveloper time no longer prioritized over runtimeProduction code should never be slower than CSingle-stack ownership enables optimizationNeed for coordinated improvement across:Language designAlgorithmsHardware architectureLooking ForwardShift from interpreted to modern compiled languagesPerformance engineering becoming critical skillDomain-specific hardware accelerationIntegrated approach to performance optimization
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