How fast fpga

The time it takes for a given piece to get through is still going to be cycles, but you can have pieces of data in there at once. If you're really that concerned with speed, though, why are you even considering a discrete logic processor?

Until recently I was writing some VHDL for very fast pipelined FFTs which would have gone onto a Zynq or , never got around to finishing the project, company is about to go into administration, but ball park estimate for the high speed parts was MHz maybe even MHz.

Will have to put that project on the back burner for now. This is good though I don't want to solder 's. Any advice? Posts: Country:. I hadn't even checked the prices for the high end Zynq parts let alone the cost of a fps camera.

Got a few Spartan3 dev boards knocking around and they manage 50MHz with no problems and even MHz if you are careful. The following users thanked this post: hans. I was really looking forward to some discrete logic 45gbps io processor on a breadboard Sent from my R1 HD using Tapatalk. The following users thanked this post: JPortici. Here is a short answer, with millions of assumptions and no real thinking, but just on experience Lots of pipelining and retiming involved.

This high performance comes from 1 high parallelism in applications in image processing, 2 high ratio of 8 bit operations, and 3 a large number of internal memory banks on FPGAs which can be accessed in parallel. In the recent micro processors, it becomes possible to execute SIMD instructions on bit data in one clock cycle. Furthermore, these processors support multi-cores and large cache memory which can hold all image data for each core. What does it depend on? The speed of a design is limited by several things.

The biggest will most likely be the propagation delay through the combinatorial logic in your design, called the critical path. This requires pipelining everywhere so you have the absolute minimum amount of combinatorial logic between stateful components minimize levels of logic , low fan-outs minimize loading on logic elements , and no congested rats-nests efficient routing paths.

The fabric logic of different FPGAs will have different timing parameters. Faster, more expensive FPGAs will have smaller delays and as a result can achieve higher clock frequencies with the same design, or run a more complex design or design with less pipelining at the same frequency. Performance within a particular process can be similar - for example, Kintex Ultrascale and Virtex Ultrascale are made on the same process and have similar cell and routing delays.

It is impossible to say how fast a given design will be without running it through the tool chain and looking at the timing reports from the static timing analysis. When doing toolchain runs to determine maximum clock speed, bear in mind that the tools are timing-driven: they will try to meet the specified timing constraints. If no timing constraints are specified, the result can be very poor as the tools will not try to optimize the design for speed.

Generally, the tools will have to be run several times with different clock period constraints to find what the max achievable clock frequency. If you can optimize your design so that the critical path is not the limit, then you'll run in to limitations in the clock generation and distribution PLLs, DCMs, clock buffers, and global clock nets.

These limits can be found in part datasheets, but getting near them with a non-trivial design is difficult. I have run stuff on a Virtex Ultrascale at MHz, but this was only a handful of counters to provide triggering signals to other components. You synthesize your design in the target technology a particular FPGA and let the static timing analysis tools tell you what the minimum clock period is. Or, you add constraints to the design in the first place, and then the tools will let you know whether they're met or not.

The table below shows how long each of the Cora Z7 variants took to process , Monte Carlo samples. The tutorial shows you how to build the algorithm in FPGA logic. As long as the result of each multiplication operation is less than 48 bits wide, you only need to use two of the Cora's DSP slices per instance of the code running the Monte Carlo simulation. Random samples are created by using a linear feedback shift register LFSR , with a seed value provided by the controller.

The clock of the entire system is MHz. Chose to run as many samples as you could fit in a bit integer.