ksWeb vs Vector Search Bench

ksWeb it's system for monitoring and control Kromschroeder heating controllers. To use all functions of this app, the ksWeb server communication device are required. KromschroederWebControl server connect to Kromschroeder controller via CAN bus. Server get data from heating controller and send them to the app. Control and monitoring functions: - Display of heating system information - Display of heating circuit information - Change heating circuit mode - Change the room's set temperature - Change switching times heating programs - Change system settings for boiler, heating circuit and HW - Display fault messages - Push or email notification about system alarms - Graphical display of mesuarements (boiler, room, outside temperature) curves in the overview for the current day, week, month or year - System log (changed settings or error messages) - Two view mode: user and service mode System requirements: - Kromschroeder heating controller - KromschroederWebControl server for connect to bus - LAN/WLAN router Work with Kromschroeder: - E8.0634 - E8.0324 - E8.0234 - E8.1124 For more information, please visit our website: www.techno-line.info

Vector Search Bench is a high-signal, no-nonsense benchmark suite for vector similarity search on iPhone. Measure how fast and stable your device can score embeddings using the CPU (Accelerate/vDSP) versus the Apple Neural Engine (Core ML)—with real metrics you can trust. What you can benchmark Exact Top-K vector search (dot-product similarity) CPU path: Accelerate / vDSP optimized scoring NPU path: Core ML Dense inference tuned for Neural Engine scheduling Query-by-query execution with repeatable timing Intricate performance metrics Latency distribution: median, p95 Throughput: QPS Recall@K vs CPU reference (sanity check) Memory footprint and dataset sizing knobs Built for real-world AI systems