Funding
Funding not disclosed
Founders
Product
Problem
Performing Fast Fourier Transforms (FFTs) on multi-dimensional datasets is computationally intensive, often requiring significant processing power and leading to bottlenecks in applications like real-time medical imaging and high-performance computing. Traditional FFT algorithms can also suffer from communication bottlenecks due to data transposition requirements.
Solution
FourierTek offers a native multi-dimensional FFT technology designed to overcome the limitations of conventional FFT methods. Their algorithm eliminates the node-to-node communication bottleneck typically associated with data transposition, achieving a high degree of parallelization. This approach enables efficient processing of 2D, 3D, and n-dimensional data, making it suitable for applications requiring real-time performance and high computational throughput. The technology aims to accelerate signal processing in various fields, including medical imaging, wireless communication, and radar.
Target Audience
The primary target audience includes researchers and engineers in fields such as medical imaging, wireless communications, high-performance computing, and signal processing who require efficient and scalable FFT solutions.
Features
- Native multi-dimensional FFT algorithm, eliminating data transposition bottlenecks
- Highly parallelizable architecture, enabling up to (N^3)/8 threads for an N x N x N 3D FFT
- Potential applications in real-time medical imaging, 5/6G cellular, LEO satellite massive MIMO digital beamforming, and LiDAR/Radar signal processing
- FPGA-based accelerator for high-performance computing, capable of 1024 x 1024 x 1024 3D FFT on a single platform