Search Results for "database benchmark"

When you need the best performance for your location-based applications, you can rely on Tile38. Tile38 is an ultra-fast, open source geospatial database and geofencing server capable of real-time geofencing, fast spatial indexing and more. It supports a variety of object types including lat/lon, Geohash, bbox, GeoJSON, QuadKey, and XYZ tile; and is capable of operations like Nearby, Within, and Intersects. There’s also built-in support for many popular tools. Tile38 is made up of 3 main components: the server, command line interface tool and server benchmark tool. ...

JDiskMark is a powerful and versatile disk benchmarking tool written in Java, designed to help measure the performance and health of your storage drives. Whether you're testing HDDs, SSDs, or network locations, JDiskMark provides reliable insights into your disk's read and write...

BRL-CAD is a powerful cross-platform constructive solid geometry solid modeling system that includes an interactive geometry editor, ray-tracing for rendering & geometric analyses, network distributed framebuffer support, image & signal-processing tools.

...accuracy: 95.25%; precision: 85.70%; recall: 76.20%; FB1: 80.67 Using GATE Corpus Benchmark: Strict: P: 0.65 R: 0.73 F1: 0.69 Lenient: P: 0.74 R: 0.84 F1: 0.78 The details of how to reproduce evaluation, see README. To use standalone version for tagging download DrugExtractionStandalone.tar.gz from Files.

...Basically each scenario consists of a database Production (BDP) large volume that simulates a real environment and a database of Experiments (BDE) that contains information about SQL, Mutants and results of experiments with random instruction methods. The reference value is nothing more than a set of data bases. The first scenario has the structure and the generated data for the specific benchmark, the second is its structure and data obtained from an actual application.

In 2015, we converted MiDataSets and cDataSets to open Collective Knowledge Format (CK) and moved them here: http://github.com/ctuning/ctuning-datasets-min CK allows you to simplify compilation and execution of these benchmarks across multiple platforms (Windows, Linux, MacOS, Android ...). In this project, we collect multiple datasets for a MiBench benchmark (free, commercially representative embedded benchmark suite) to create the conditions for a more realistic benchmarking of...