 Visualize Time Enabled Data using ArcGIS Qt (C++) and ToolkitworldPurpose of this talk • Showcase a quick way to create a desktop app to visualize time enabled data • Setup the development environment using Esri templates • Use the ArcGIS toolkit to use already existing ArcGIS Runtime Toolkit – Qt on GitHub - https://github.com/Esri/arcgis-runtime-toolkit-qt • How to setup the SDK - https://developers.arcgis.com/qt/get-started/ • Esri Careers - https://www.esri.com0 码力 | 10 页 | 734.09 KB | 6 月前3 Visualize Time Enabled Data using ArcGIS Qt (C++) and ToolkitworldPurpose of this talk • Showcase a quick way to create a desktop app to visualize time enabled data • Setup the development environment using Esri templates • Use the ArcGIS toolkit to use already existing ArcGIS Runtime Toolkit – Qt on GitHub - https://github.com/Esri/arcgis-runtime-toolkit-qt • How to setup the SDK - https://developers.arcgis.com/qt/get-started/ • Esri Careers - https://www.esri.com0 码力 | 10 页 | 734.09 KB | 6 月前3
 Analyzing MySQL Logs with ClickHouseaudit_log_exclude_accounts = ‘app1@%,app2@localhost'; © 2018 Percona. 20 Clickhouse/ClickTail Setup • Install Schema • cat schema/db.sql | clickhouse-client –multiline • cat schema/mysqlaudit.sql slow_query_log_always_write_time=1 slow_query_log_use_global_control=all © 2018 Percona. 26 Clickhouse/ClickTail Setup • Install Schema • cat schema/db.sql | clickhouse-client –multiline • cat schema/mysql.sql | clickhouse-client0 码力 | 43 页 | 2.70 MB | 1 年前3 Analyzing MySQL Logs with ClickHouseaudit_log_exclude_accounts = ‘app1@%,app2@localhost'; © 2018 Percona. 20 Clickhouse/ClickTail Setup • Install Schema • cat schema/db.sql | clickhouse-client –multiline • cat schema/mysqlaudit.sql slow_query_log_always_write_time=1 slow_query_log_use_global_control=all © 2018 Percona. 26 Clickhouse/ClickTail Setup • Install Schema • cat schema/db.sql | clickhouse-client –multiline • cat schema/mysql.sql | clickhouse-client0 码力 | 43 页 | 2.70 MB | 1 年前3
 Lock-Free Atomic Shared Pointers Without a Split Reference Count? It Can Be Done!{std::move(p->t)}; else return {}; }38 Daniel Anderson -- danielanderson.net Benchmark setup (throughput) Machine setup: • 4x Xeon E7-8867 (72 cores, 144 hyperthreads) • 1TB DDR4 main memory • Running0 码力 | 45 页 | 5.12 MB | 6 月前3 Lock-Free Atomic Shared Pointers Without a Split Reference Count? It Can Be Done!{std::move(p->t)}; else return {}; }38 Daniel Anderson -- danielanderson.net Benchmark setup (throughput) Machine setup: • 4x Xeon E7-8867 (72 cores, 144 hyperthreads) • 1TB DDR4 main memory • Running0 码力 | 45 页 | 5.12 MB | 6 月前3
 基于Rust-vmm实现Kubernetes运行时• There are lots of reduplication in CrosVM and Firecracker, to get avoid this, these companies setup a Rust-VMM project History of Rust-VMM Rust-VMM Overview Rust Based • New language with a focus0 码力 | 27 页 | 34.17 MB | 1 年前3 基于Rust-vmm实现Kubernetes运行时• There are lots of reduplication in CrosVM and Firecracker, to get avoid this, these companies setup a Rust-VMM project History of Rust-VMM Rust-VMM Overview Rust Based • New language with a focus0 码力 | 27 页 | 34.17 MB | 1 年前3
 NativeScript 101Terminal (Mac, Linux) o Free, Part of open source project o Requires installation, local environment setup to build for iOS/Android (requires Mac for iOS) o Integrates with Visual Studio Code (via plugin)0 码力 | 90 页 | 40.11 MB | 1 年前3 NativeScript 101Terminal (Mac, Linux) o Free, Part of open source project o Requires installation, local environment setup to build for iOS/Android (requires Mac for iOS) o Integrates with Visual Studio Code (via plugin)0 码力 | 90 页 | 40.11 MB | 1 年前3
 hazard pointer synchronous reclamationretired to it are destroyed before the the completion of destruction of Container. • Problem: High setup overhead of constructing/destroying per custom domain hazard pointers. • Even worse if many instances0 码力 | 31 页 | 856.38 KB | 6 月前3 hazard pointer synchronous reclamationretired to it are destroyed before the the completion of destruction of Container. • Problem: High setup overhead of constructing/destroying per custom domain hazard pointers. • Even worse if many instances0 码力 | 31 页 | 856.38 KB | 6 月前3
 C++高性能并行编程与优化 -  课件 - 07 深入浅出访存优化when performing matrix multiplies or matrix transposes. Morton reordering was effective on either setup. By doing this reordering of the data, maximum performance is achieved due to cache locality. Taking0 码力 | 147 页 | 18.88 MB | 1 年前3 C++高性能并行编程与优化 -  课件 - 07 深入浅出访存优化when performing matrix multiplies or matrix transposes. Morton reordering was effective on either setup. By doing this reordering of the data, maximum performance is achieved due to cache locality. Taking0 码力 | 147 页 | 18.88 MB | 1 年前3
共 7 条
- 1













