Software and Data Resources
Open source libraries and related data resources have been made available via the project’s GitHub page. The repository includes the following items:
ASAP Source Code Documentation
Intelligent Resource Scheduler (IReS)
The open source platform for optimizing, planning and executing complex analytics workflows in multi-engine environments.
Spark Application for peak detection in call detail records
Platform for Analytics Workflows
Unified execution framework for scalable data analytics to facilitate the execution of general-purpose analytics queries over irregular data
Operator definitions for ASAP
A web content analytics application used by IMR using the ASAP
programming model that scales to big, heterogeneous data
The recursive analytics query module and the hierarchical data
decomposition module extensions for the Spark analytics engine.
Set of Apache microbenchmarks to test an alternative scheduling mechanism.
Test cases for Swan in clang and intel-cilkplus-runtime
Swan clang front-end
Swan runtime – Extension of Intel Cilk Plus runtime with dataflow dependencies between tasks
Minor update of LLVM including a re-usable routine used in swan_clang
Tests for the webLyzard Statistical Data API
extensible Web Retrieval Toolkit (eWRT)
Modular open-source Python API to retrieve social data from Web sources, including various helper classes for effective caching and data management.
Modular visualization component library based on d3.js. It provides an API optimized for usage in self-updating real-time dashboards. Currently it offers bar charts, line charts and geographic maps. www.github.com/project-asap/infovyz
Public showcase of the various ASAP visualizations as well as the high-performance dashboard synchronization mechanisms; includes selected datasets to test the on-the-fly drill down operations.