Investigating scaling techniques and the cost-efficiency of distributed to single FPGA compositions for Full Waveform Inversion

In recent years, the big data era has produced an increasing volume and complexity of data that requires processing. To analyze and process these large amounts of data, applications are being scaled on large clusters using distributed data processing frameworks. A more recent trend utilizes hardware accelerators to offload computationally...