White paper - High-Level Synthesis: Can it outperform hand-coded HDL?
This paper highlights how SLX FPGA, on an industrial image processing application, can both automatically insert pragmas for optimized performance and also provide deep code insights to guide code refactoring. The final HLS implementation optimized with SLX FPGA is 64% faster compared to the handwritten HDL implementation in a fraction of the time to complete the design.
White paper - Adaptive Beamformer: An HLS Optimization Case Study with SLX FPGA
In this paper, the latency and utilization metrics of an adaptive beamforming algorithm optimized by SLX FPGA are compared to the metrics of the same algorithm hand-optimized by an HLS expert. SLX FPGA achieves a lower latency and cuts development time from weeks down to minutes, using an automated flow that eliminates the need for knowledge of the algorithm and target architecture.
White paper - Accelerating Financial Applications With SLX FPGA
In this paper, two implementations of computation intensive models for pricing options are discussed, namely the Black-Scholes and Heston pricing models. This white paper demonstrates how engineers creating FPGA-based hardware accelerators for financial market models can take advantage of SLX FPGA.