An FPGA Based Hardware Accelerated Framework for Solar Spectra Matching with Parameterized Matched Filter IP Core

Solar observations specifically allow one to determine stratifications of atmospheric properties in detail from studying spectra at a high spectral and temporal resolution. In this paper, we present a hardware accelerated framework for solar spectral analysis that includes a parameterized matched filter IP core. Our proposed hardware accelerated framework is able to process a three dimensional data cube of 700,000 spectra to find the best fit to the observation from an archive of 240,000 pre-calculated spectra in less than 3 minutes. This is almost 241 times faster than a similar software based analysis running on standard quad core machine and roughly about 10 times faster than running on GTX 1050 Ti GPU with 768 CUDA cores.