{"id":39943,"date":"2025-12-08T10:00:00","date_gmt":"2025-12-08T15:00:00","guid":{"rendered":"https:\/\/www.dmcinfo.com\/?p=39943"},"modified":"2025-12-23T09:44:42","modified_gmt":"2025-12-23T14:44:42","slug":"using-fpgas-for-custom-high-performance-measurements-intro-to-labview-fpga","status":"publish","type":"post","link":"https:\/\/www.dmcinfo.com\/blog\/39943\/using-fpgas-for-custom-high-performance-measurements-intro-to-labview-fpga\/","title":{"rendered":"Using FPGAs for Custom High-Performance Measurements (Intro to LabVIEW FPGA)"},"content":{"rendered":"\n

When measurements must be ultra\u2011fast and perfectly deterministic<\/strong>, FPGAs shine. Unlike CPUs – whose performance depends on schedulers, caches, and interrupts – FPGAs have much more control over timing. They are hardware you can program<\/em>: you \u201ccompile\u201d logic into a network of computing elements on silicon, so your logic runs on the clock edges you specify. NI\u2019s LabVIEW FPGA Module<\/strong> bridges the gap between gate\u2011level VLSI circuit design and productive engineering, letting you build high\u2011performance measurement solutions on platforms like CompactRIO (cRIO), FlexRIO, and R Series<\/strong> using a graphical workflow your team probably already knows.<\/p>\n\n\n\n

This technical blog distills how and when to use FPGAs for custom measurements<\/strong>, the architectural patterns that actually work, and hard\u2011earned tips from DMC projects, plus links to DMC case studies and technical blogs you can reference as you architect your own system.<\/p>\n\n\n\n

Why an FPGA for Measurement?<\/h2>\n\n\n\n

Determinism from microsecond to nanosecond scales<\/strong>
FPGA logic executes in hardware with clock\u2011accurate timing. On NI RIO targets, you can use single\u2011cycle timed loops (SCTLs)<\/strong> to run logic loops timed by clock signals that you specify. These loops have extremely low jitter, meaning that every iteration of the loop executes in the same amount of time. When you need very high confidence that control loops have a consistent time delta or that timestamps can be trusted, an FPGA may be the right tool.<\/p>\n\n\n\n

Massive parallelism<\/strong>
Independent loops of logic on an FPGA execute in parallel. Unlike conventional CPUs, adding more loops to count edges, filter data, or implementing serial protocols won\u2019t slow the other loops. This is ideal for multi\u2011sensor, mixed\u2011signal acquisition or protocol gateways.<\/p>\n\n\n\n

Throughput without host bottlenecks<\/strong>
Stream continuous, high\u2011rate data using DMA FIFOs<\/strong> between FPGA and host, or bypass the host entirely with Peer\u2011to\u2011Peer (P2P) streaming<\/strong> between PXIe modules on the backplane. The FPGA can share data with oscilloscopes, waveform generators, vector signal analyzers, and more without burdening the host processor or memory.<\/p>\n\n\n\n

Custom I\/O and protocol timing<\/strong>
Implement custom digital front\u2011ends, encoders, counters, PWM, or proprietary serial timings that off\u2011the\u2011shelf DAQ devices don\u2019t support. With CLIP<\/strong> and the IP Integration Node<\/strong>, you can also drop in HDL cores (VHDL\/Verilog) or Xilinx IP where needed.<\/p>\n\n\n\n

When to Choose an FPGA vs. PC or Real-Time (RT)?<\/h2>\n\n\n\n

Use this quick rule of thumb (derived from DMC best practices and NI documents):<\/p>\n\n\n\n