For a current list of our FPGA IP Cores to implement Big Data Algorithms, please contact us.

 

Below is an example combining Blueprint Signal Processing FPGA IP Cores to perform covariance matrix analysis and gain insight into a large data set:

 

Streaming Big Data Example using FPGA IP Cores

 

 

Big Data is a broad term used to describe very large data sets that have complex relationships within the data.

Blueprint Signal Processing FPGA IP Cores provide insight into the complex relationships and challenges in Big Data using high performance signal processing algorithms.

Our Big Data Algorithms are custom FPGA IP Cores that implement high throughput, signal processing functions such as multidimensional data analysis, time series analysis, JTFA, correlation and statistical analysis.

Blueprint Signal Processing FPGA IP Cores are custom, high throughput designs to help reduce the development and execution time required to solve the challenges of Big Data.

To learn more about Blueprint Signal Processing FPGA IP Cores for Big Data please contact us.

 

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