Product Id: 30894272
Description: Intel Data Analytics Acceleration Library for Windows - License - 1 named user - commercial - ESD - Win
Mfr Part #: IDA999WLGE01X1Z
Big Data is changing the world of computing by extracting value from the increasing volume, variety and velocity of data generated in many different industries and domains. Genomics, risk, social network and consumer preference analysis are just a few examples of areas where high-performance analysis of large data sets is a critical competency in today's compute landscape. For most of these tasks, computational speed is a key ingredient for success.
The Intel Data Analytics Acceleration Library (Intel DAAL) is designed to help software developers reduce the time it takes to develop their applications and delivery them with improved performance. Intel DAAL helps applications make better predictions - faster, and analyze larger data sets with the available compute resources at hand. It is updated to take advantage of advanced processors even before they're available.
- Delivers high application performance across spectrum of IA devices
- Speeds time-to-value through data source and environment integration
- Reduces application development time via wide selection of pre-optimized advanced analytics algorithms
- Batch processing
When all data fits in the memory, a function is called to process the data all at once.
- Online processing (also called streaming)
This mode is used when all data does not fit in memory. Intel DAAL can process data chunks individually and combine all partial results at the finalizing stage.
- Distributed processing
Intel DAAL supports a model similar to MapReduce. Consumers in a cluster process local data (map stage), and then the producer process collects and combines partial results from consumers (reduce stage). Intel DAAL offers flexibility in this mode by leaving the communication functions completely to the developer. Developers can choose to use the data movement in a framework such as Hadoop or Spark, or explicitly coding communications most likely with MPI.