VHDL Reference Material: 32-bit parallel integer square root University of Maryland, Baltimore County, Department of Computer Science & Electrical Engineering Last updated: August 20, 2007. VHDL Reference Material: Simple parallel 8-bit sqrt using one component University of Maryland, Baltimore County, Department of Computer Science & Electrical Engineering Last updated: August 20, 2007. Donna Kardos Yesalavich Trading Firms Turn To Videogame Chips To Get Even Faster Wall Street Journal APRIL 27, 2010. To learn more about using LabVIEW FPGA in Financial applications, visit and contact References Using a high level, graphical development environment of LabVIEW FPGA reduced our development time without compromising the performance gains of using an FPGA. LabVIEW graphical programming is an intuitive way to program embedded devices because the block diagram of a LabVIEW FPGA VI can represent the parallelism and timing of embedded systems much better than text-based languages. With this case study we see that complex financial algorithms can be efficiently programmed onto FPGAs without in-depth knowledge of digital design or complex Electronic Design Automation (EDA) tools. When comparing the results, we see that the FPGA implementation is 131X times faster demonstrating that high level, graphical programming with LabVIEW FPGA did not sacrifice performance and decreased development time to several days. 100,000 simulations per 16.394 milliseconds.
#LABVIEW FPGA SIMULATION TRIAL#
The benchmark ran the simulation one thousand times and the average time required for each trial was 16.394 ms, giving us the following performance: The Windows Experience Index reported by the Windows Performance Information and Tools utility was 5.7 out of 6.0. NET Framework 3.5, with 4 Gigabytes of RAM and dual 10,000 RPM 150GB hard disks configured in a RAID-0 configuration.
![labview fpga simulation labview fpga simulation](https://i.ytimg.com/vi/9hHIHq8JG9E/maxresdefault.jpg)
#LABVIEW FPGA SIMULATION CODE#
The above code was compiled and run on an Alienware Aea-51 7500, running Windows Vista 32-bit Service Pack 2.
![labview fpga simulation labview fpga simulation](https://i.stack.imgur.com/Kaz0C.png)
The corresponding LabVIEW FPGA code looks like this: For example, the VHDL code for calculating the square root of a number can take anywhere from 117 lines to 396 lines of code. These languages are difficult to learn and result in very lengthy source code files that often accomplish very little with a lot of effort. Taking advantage of an FPGA requires the use of a Hardware Description Language (HDL) such as Verilog or VHDL.
#LABVIEW FPGA SIMULATION SERIES#
The FPGA solution was evaluated by using a National Instruments PXI-7854R R Series with Virtex-5 LX110 FPGA. The non-FPGA (CPU based) solution was evaluated using an Alienware Area-51 7500 Dual Core 3.0 GHz. We will demonstrate that the high level, graphical language of LabVIEW FPGA is capable of accelerating financial calculations by 131 times without the extended development time that is considered the norm for FPGA development.
![labview fpga simulation labview fpga simulation](https://learn-cf.ni.com/teach/riodevguide/img/fpga_programming-simulation-techniques.png)
![labview fpga simulation labview fpga simulation](https://zone.ni.com/images/reference/en-XX/help/371599P-01/loc_eps_local_vs_embedded.gif)
In this case study we will benchmark the performance and development times of European Option Pricing using Monte Carlo simulations on an FPGA and a CPU. However, the practicality of FPGAs still present challenges due to extended development time. Using Field Programmable Gate Arrays (FPGAs) to accelerate financial derivative calculations is becoming very common.