High Performance
Build applications that demand maximum performance. High-performance computing involves optimization, parallel processing, and efficient resource utilization.
Overview
High-performance computing focuses on building applications that require maximum speed and efficiency. This includes games, scientific simulations, real-time systems, and data processing applications.
Performance optimization involves profiling, benchmarking, and optimizing code at multiple levels from algorithms to hardware.
Key Technologies
Key Concepts
Algorithm Optimization
Choose and implement efficient algorithms with optimal time and space complexity.
Parallel Processing
Utilize multiple CPU cores and GPUs to process data in parallel for maximum throughput.
Memory Management
Optimize memory usage, reduce allocations, and minimize garbage collection overhead.
Profiling & Benchmarking
Measure and analyze performance to identify bottlenecks and optimize critical paths.