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Hardware & Edge Computing • • 11 min read

Self-Hosted Real-Time Collaborative FPGA Development with WebAssembly and CRDTs

Build a browser-based collaborative FPGA IDE using WebAssembly for synthesis/simulation and CRDTs for real-time multi-user editing. Step-by-step guide for distributed hardware teams.

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Self-Hosted Real-Time Collaborative FPGA Development with WebAssembly and CRDTs

Quick Summary (TL;DR) Traditional FPGA development is a solitary, heavyweight affair: install gigabytes of vendor tooling, lock files on a shared drive, and email patches back and forth. This guide shows you how to build a browser-based, real-time collaborative FPGA IDE that runs synthesis and simulation client-side via WebAssembly (Yosys + Verilator) and synchronizes edits peer-to-peer via CRDTs (Yjs) through a self-hosted sync server. You’ll get Google-Docs-style multi-cursor editing for Verilog/VHDL, instant local simulation, and full data ownership — all on a modest server.


Why Collaborative FPGA Development Needs a New Approach

Hardware description languages (HDLs) like Verilog and VHDL have a collaboration problem baked into their toolchains. Unlike software, where Git and cloud IDEs have made distributed teamwork frictionless, FPGA work still revolves around monolithic vendor suites — Vivado, Quartus, Libero — that are OS-specific, license-gated, and hostile to concurrent editing. When two engineers touch the same .v file, someone’s work gets clobbered.

The pain points are consistent across teams:

  • Heavyweight tooling. A full Vivado install is 50–100 GB. You can’t run it in a browser tab.
  • File locking, not merging. Shared network drives and version control handle HDL poorly because there’s no fast feedback loop.
  • No shared simulation. Reproducing a colleague’s testbench means matching their exact tool version and environment.
  • Data sovereignty. Defense, medical, and semiconductor teams often cannot upload RTL to third-party cloud services.

The fix is to split the problem: move the interactive, low-latency work (editing, synthesis, simulation) into the browser via WebAssembly, and move the coordination work (who typed what, when) into a CRDT sync layer you host yourself. That combination gives you real-time collaboration without surrendering your source.

Architecture Overview: Browser, WebAssembly, CRDTs, and Self-Hosted Backend

The system has four cooperating layers. The browser is the workstation; the server is only a relay and persistence point.

flowchart TD
    subgraph Browser["Browser (each developer)"]
        Editor["Code Editor + Yjs binding"]
        WASM["WASM: Yosys (synthesis) / Verilator (sim)"]
        LocalDB["IndexedDB (offline CRDT state)"]
    end

    subgraph Server["Self-Hosted Backend"]
        WS["WebSocket Sync Server (y-websocket)"]
        Auth["Auth / JWT Gateway"]
        Store["Persistence (Postgres / S3)"]
    end

    Editor <-->|"CRDT updates (WSS)"| WS
    Editor --> WASM
    Editor <--> LocalDB
    WS --> Auth
    WS --> Store
    Browser1["Browser A"] <--> WS
    Browser2["Browser B"] <--> WS

Component Breakdown

LayerTechnologyResponsibility
EditorMonaco / CodeMirror + Yjs bindingMulti-cursor HDL editing
SyncYjs + y-websocketCRDT merge, presence, awareness
ComputeYosys, Verilator → WASMSynthesis & simulation in-browser
BackendNode.js, Postgres, RedisAuth, persistence, relay

The key insight: the server never sees your HDL semantics — it only relays opaque CRDT update messages. Synthesis and simulation never leave the client, so your RTL stays on your machines.

Setting Up the Self-Hosted Backend

Prerequisites

  • A Linux host (4 cores / 8 GB RAM is plenty for a small team)
  • Node.js 20+, Docker, and Docker Compose
  • A domain name and TLS certificate (Let’s Encrypt works fine)
  • Basic familiarity with reverse proxies (Nginx or Caddy)

Step 1: Deploy the CRDT Sync Server

Yjs ships a reference WebSocket provider. We’ll run it behind a thin auth wrapper.

mkdir fpga-collab && cd fpga-collab
npm init -y
npm install y-websocket yjs ws jsonwebtoken

Create server.js:

import { WebSocketServer } from 'ws';
import { setupWSConnection } from 'y-websocket/bin/utils';
import jwt from 'jsonwebtoken';

const wss = new WebSocketServer({ port: 1234 });
const SECRET = process.env.JWT_SECRET;

wss.on('connection', (conn, req) => {
  const token = new URL(req.url, 'http://x').searchParams.get('token');
  try {
    jwt.verify(token, SECRET); // reject anonymous peers
  } catch {
    return conn.close(4001, 'unauthorized');
  }
  setupWSConnection(conn, req, { gc: true });
});

This validates a JWT before handing the socket to Yjs. gc: true enables garbage collection of tombstoned CRDT operations, keeping documents lean.

Step 2: Configure WebSocket and Persistence

Yjs keeps documents in memory by default — you need durability. Use the LevelDB persistence adapter:

import { LeveldbPersistence } from 'y-leveldb';
const ldb = new LeveldbPersistence('./storage');
// hook into setupWSConnection's callback to persist updates

For team-scale deployments, back this with Postgres for metadata (project list, ACLs) and object storage (S3/MinIO) for snapshot exports and netlist artifacts.

Step 3: Secure the Backend

  • TLS everywhere. Terminate HTTPS/WSS at Caddy; never expose port 1234 directly.
  • Authenticate at the gateway. Issue short-lived JWTs from your identity provider (OAuth2/OIDC).
  • Authorize per document. Map roomId → allowed user IDs; reject updates from unauthorized peers.
  • Network policy. For sensitive designs, restrict the sync server to a WireGuard VPN or IP allowlist.
sequenceDiagram
    participant U as Developer
    participant P as Proxy (Caddy)
    participant A as Auth Service
    participant S as Sync Server
    U->>A: Login (OIDC)
    A-->>U: JWT (15 min TTL)
    U->>P: WSS connect ?token=JWT
    P->>S: Forward
    S->>S: Verify JWT + room ACL
    S-->>U: Sync established

Integrating WebAssembly for Synthesis and Simulation

Compiling Yosys and Verilator to WebAssembly

Both tools have active WASM ports. You have two routes:

  1. Use prebuilt ports. Projects like yosys-wasm and the Emscripten builds maintained by the open-source EDA community ship .wasm bundles you can load directly.
  2. Build your own with Emscripten. Clone Yosys, configure with emconfigure, and compile. Expect to trim features (no ABC by default) to keep the binary under ~30 MB.
# Sketch of an Emscripten build
emconfigure ./configure --enable-abc=no
emmake make -j4
# Produces yosys.js + yosys.wasm

Loading and Running WASM in the Browser

Run synthesis inside a Web Worker so the UI thread stays responsive:

const worker = new Worker('yosys-worker.js');
worker.postMessage({ cmd: 'synth', top: 'top', files: ['top.v'] });
worker.onmessage = (e) => renderNetlist(e.data);

Inside the worker, instantiate the module and pipe HDL in via Emscripten’s virtual filesystem:

const yosys = await YosysModule();
yosys.FS.writeFile('top.v', hdlSource);
yosys.callMain(['-p', 'synth -top top; write_json out.json']);
const netlist = yosys.FS.readFile('out.json', { encoding: 'utf8' });

Performance Considerations

Design sizeExpected synth time (WASM)Notes
< 1k LUTs< 1 sInstant feedback
1k–10k LUTs2–15 sRun in worker, show progress
10k–50k LUTs30 s–2 minConsider incremental synthesis
> 50k LUTsMinutes+Offload to native backend

WebAssembly is typically 1.5–3× slower than native but dramatically faster than JavaScript. Cache synthesis results keyed by a content hash of the source so unchanged modules aren’t re-synthesized.

Implementing CRDTs for Real-Time Collaboration

Choosing the Right CRDT for HDL Code

For text, you want a sequence CRDT with good performance under concurrent inserts. Yjs’s YATA algorithm is the pragmatic choice — it’s battle-tested (used by many collaborative editors), compact on the wire, and has mature bindings.

CRDT typeBest forHDL suitability
YATA (Yjs)Rich text, code✅ Excellent
RGAOrdered lists⚠️ OK, larger state
LWW-RegisterSingle values❌ Loses edits
OR-SetCollections✅ For file trees

Use Y.Map for the file tree and Y.Text for each HDL file’s contents.

Integrating Yjs with a Code Editor

Monaco has an official Yjs binding (y-monaco). Wire it up:

import * as Y from 'yjs';
import { WebsocketProvider } from 'y-websocket';
import { MonacoBinding } from 'y-monaco';

const ydoc = new Y.Doc();
const provider = new WebsocketProvider(
  'wss://fpga.example.com', 'project-top', ydoc,
  { params: { token: jwtToken } }
);
const ytext = ydoc.getText('top.v');

const binding = new MonacoBinding(
  ytext, editor.getModel(), new Set([editor]),
  provider.awareness
);

That’s it — every keystroke now flows through the CRDT and out to all peers.

Handling Conflicts and Offline Edits

CRDTs are conflict-free by construction: they never lose data, but they can produce semantically surprising merges. If two engineers edit the same always block simultaneously, the CRDT interleaves characters deterministically — the result is valid text but may not be valid HDL.

Mitigations:

  • Offline-first. Yjs persists to IndexedDB; reconnection replays queued updates automatically.
  • Semantic linting. Run a lightweight HDL parser on merge and flag structurally broken blocks.
  • Awareness cursors. Show who’s editing which line so humans avoid collisions in the first place.

Building the Collaborative IDE Frontend

Editor and File Tree

Use Monaco (the VS Code engine) for the editor and a Y.Map-backed tree. Each file node holds a reference to its Y.Text. Renaming or moving a file is a CRDT operation, so the tree stays consistent across peers.

Real-Time Cursors and Presence

Yjs’s awareness protocol broadcasts ephemeral state — cursor position, selection, name, color. Render remote cursors as overlays using Monaco’s decoration API. Presence data is intentionally not persisted; it vanishes when a user disconnects.

Synthesis and Simulation Controls

Add a toolbar with Synthesize, Simulate, and Export Netlist buttons. Each dispatches to the Web Worker, and results render in a side panel (schematic, waveform viewer, resource report). Because synthesis is local, every developer can run it independently without contending for a shared build server.

Comparison: Self-Hosted vs. Cloud-Based Collaborative FPGA Tools

DimensionSelf-Hosted (this guide)Cloud SaaS FPGA IDE
Data residencyFull controlVendor-controlled
LatencyLAN/VPN speedInternet-dependent
Cost modelFixed infraPer-seat / per-hour
Vendor tool supportOpen-source only (Yosys/Verilator)Sometimes proprietary
Offline editing✅ Yes (CRDT)Usually limited
Maintenance burdenYou own itVendor owns it
Scaling ceilingYour hardwareVendor’s hardware

Choose self-hosted when confidentiality, cost predictability, or offline resilience dominate. Choose cloud when you need proprietary vendor flows or zero ops.

Testing and Deployment

Local Testing

Spin up the stack with Docker Compose and open two browser windows side by side. Type in one; watch the other update in under 100 ms. Test the offline path by killing the sync server — edits should queue in IndexedDB and replay on restart.

docker compose up
# → sync server :1234, postgres :5432, caddy :443

Production Deployment

  • Reverse proxy: Caddy auto-provisions TLS and proxies /sync to the WebSocket server.
  • Scaling: Yjs servers are mostly stateless relays; run multiple instances behind sticky sessions, sharing persistence via Redis.
  • Observability: Track connected peers, update throughput, and synthesis durations per client.
  • Backups: Snapshot LevelDB/Postgres nightly; export netlists to object storage.

Conclusion

Collaborative FPGA development has been stuck in a single-user, heavyweight paradigm for too long. By combining WebAssembly for client-side synthesis and simulation with CRDTs for conflict-free editing, you get a browser IDE that feels like Google Docs but respects the confidentiality and latency requirements of hardware teams. The server you host is small and boring — it just relays opaque updates — while the interesting work happens on each engineer’s machine. Start with the sync server, add the WASM toolchain, wire up Monaco, and you’ll have a production-ready collaborative HDL environment your team actually owns.

FAQ

What are the hardware requirements for self-hosting this collaborative FPGA IDE? A modest server with 4 CPU cores, 8 GB RAM, and 50 GB SSD can support a small team (up to 5 concurrent users). For larger teams or complex designs, scale to 8+ cores and 16 GB RAM. The WebAssembly synthesis runs client-side, so server load is mainly from CRDT synchronization and file storage.

Can I use this setup with proprietary FPGA vendor tools? No, the WebAssembly approach relies on open-source tools like Yosys and Verilator. Proprietary tools (e.g., Vivado, Quartus) cannot be compiled to WebAssembly due to licensing and technical constraints. However, you can export synthesized netlists or bitstreams for vendor-specific place-and-route on a local machine.

How do CRDTs handle conflicts when two developers edit the same line of HDL code? CRDTs like Yjs use conflict-free replicated data types to merge changes automatically. If two users edit the same line, the CRDT will interleave or prioritize based on timestamps and user IDs, often resulting in a merged line that may require manual review. The system highlights conflicts for resolution.

Is WebAssembly fast enough for synthesizing large FPGA designs? WebAssembly is significantly faster than JavaScript but slower than native code. For designs under 10,000 LUTs, synthesis typically completes in seconds. For larger designs, consider offloading to a native backend or using incremental synthesis. Performance also depends on the browser’s WASM engine and available memory.

How do I secure the self-hosted backend for remote teams? Use TLS (HTTPS/WSS) for all connections, implement authentication (e.g., OAuth2 or JWT), and restrict access via VPN or IP allowlisting. The CRDT server should validate user permissions before applying updates. Regularly update dependencies and monitor for vulnerabilities.

Can this setup work offline or with intermittent connectivity? Yes, CRDTs support offline editing. Changes are stored locally and synced when the connection is restored. The WebAssembly synthesis runs entirely in the browser, so you can continue editing and simulating offline. However, real-time collaboration features require connectivity.

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