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Trading Off Throughput vs. Latency Signal + Worker Thread Example • Your application must balance work throughput with latency – Real-time apps (example: audio/video streams) must process small amounts of data regularly; low latency at the cost of context-switch overhead – Best-effort apps (example: downloads, file compression) are only concerned with reaching the “finish line” as soon as possible; low processing overhead at the cost of increased latency 6
Throughput vs. Latency (cont.) • Example: A TCP throughput test application with configurable delay • Peak throughput occurs on this system at 10–12ms – Read too frequently and burning excess CPU – Read too infrequently then we leave throughput on the table • TCP Window is filled after 20ms; throughput drops drastically 7
Page 1 and 2: Brew MP Performance Tips Rich Stew
Page 3 and 4: Agenda • Performance Concepts •
Page 5: General Performance • What is opt
Page 9 and 10: Trading Off CPU vs. Memory Utilizat
Page 11 and 12: Event Handling • A backlog in the
Page 13 and 14: Strings (cont.) • Don't call strl
Page 15 and 16: 15 BMP Architectural Overview
Page 17 and 18: Leverage the Functionality Provided
Page 19 and 20: Brew MP API Usage Considerations: S
Page 21 and 22: JPEG Decoding Optimization • 5Mp
Page 23 and 24: Resource Usage: Use Bitmap Fonts or
Page 25 and 26: Resource Usage: Avoid Blending in R
Page 27 and 28: Resource Usage: Preloading and Reus
Page 29 and 30: Resource Usage: Use PNG Crush • E
Page 31 and 32: 31 Memory Utilization Consideration
Page 33 and 34: Storage Optimization: Use a Smaller
Page 35 and 36: Memory Management Considerations
Page 37 and 38: Apply Brew MP Best Practices to Avo
Page 39 and 40: 39 Power Utilization Considerations
Page 41 and 42: Power Management—Minimize Number
Page 43 and 44: Principles of Code Optimizations Us
Page 45 and 46: CS Heap Tracker (CHT) • CHT is a
Page 47 and 48: Summary • Performance is comprise
Page 49 and 50: Resource Usage: Miscellaneous • I

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