We are experts at making FPGAs go as fast as possible. Quality of Results (QoR) counts in three ways. Designing to compile as compactly as possible enables you to use less logic resources resulting in a smaller, less expensive FPGA. Compact, highly efficient designs also run faster at lower power.
Time is money in many ways. For an automated trader, the lowest possible latency is win or lose. For a project team, using goFPGA can shave weeks or months off of a schedule, improve circuit performance and reduce device cost and power consumption. goFPGA will often deploy a combination of HLL for rapid prototyping and to maintain the bulk of the code. Then will punch down to hand coded HDL for the computational bottlenecks or high-yield circuit portions.
Some topologies just run slow by definition. Image processing bogs down as resolutions increase. The math ultimately just catches up with many processors, compelling consideration of an FPGA or GPU. goFPGA can match your specs or design goals to the optimal hardware architecture and create a long-term growth path to keep up with your ever increasing goals. We have done this for major TV manufacturers, UAV teams, machine vision manufacturing inspection systems and more.
It ain't magic. Just hard work. Reducing time in an FPGA is a matter of intelligent design. Often a combination of refactoring CPU code into coarse grained logic which can be more efficiently machine compiled into multiple streaming processes. Or iterating stage delay analysis to squeeze the last possible benefit from cycle counts. While the tools matter, who uses them matters more. In even the most common FPGA design 2 - 3 dozen design decisions have to be made. Letting an expert help with your time sensitive project helps ensure they are made correctly.