epanet-js

Gpu Computing For Topology Optimization May 2026

No installs. No forced cloud storage. Just fast, local-first water modeling — powered by the engine you already trust.

The EPANET user's dilemma

  • Classic EPANET is powerful — but clunky and outdated. Workarounds become your workflow — slow and cumbersome.
  • Big-name platforms look polished, but they're overpriced and bloated with features you don't need to analyze your network quickly.
  • Modern browser-based tools exist — but they force your data into the cloud, raising privacy and compliance concerns. Plus, they offer little for those doing long-term planning and analysis.

You shouldn't have to choose between speed, security, and affordability just to understand your water networks.

Old EPANET UI
Complex Modeling App

The core challenge in topology optimization is the , which consumes the majority of computation time.

The integration of into topology optimization has transformed it from a "conceptual stage" tool into a "production-ready" powerhouse . While traditional methods on CPUs often struggle with high-resolution meshes due to the sheer number of degrees of freedom, GPUs leverage parallel processing to solve these complex problems up to two orders of magnitude faster. 🚀 The Computational Leap: GPU vs. CPU

To maximize performance, researchers use specialized algorithms that align with the GPU’s SIMT (Single-Instruction-Multiple-Threads) architecture. 1. Matrix-Free Solvers

: Parallelizing these tasks on a GPU can reduce power consumption by up to 93% . 🛠️ Key GPU-Based Strategies

: GPUs use thousands of cores to perform fine-grained operations simultaneously.

Model water networks instantly.

No setup or downloads — just instant access right in your browser.

Start modeling now

EPANET deserves better — and so do you.

EPANET was a gift to the industry — free, open-source water modeling for all. But commercial vendors built on it, locked away improvements, and left the community behind.

epanet-js is our answer: a faster, simpler, affordable water modeling tool that protects your privacy and sustains the open-source future of water modeling.

We're proud to be part of the next chapter — and we're just getting started.

EPA logo
Source code of epanet-js on GitHub

When you support epanet-js, you support EPANET.

When you purchase more features in epanet-js, you're investing in the future of open-source EPANET development.

Our open-source model balances innovation and accessibility:

Anyone can build on our code. The two-year commercial-use delay gives us the incentive to keep pushing forward — and that fuels progress for everyone.

That means when you support us, you support more affordable hydraulic modeling software for the entire community.

Simple, transparent pricing for every kind of modeler.

Choose the plan that works for you

Free

For everyone.$0 /year

  • Web based EPANET model
  • Background maps and satellite
  • Automated Elevations
  • No limits on sizes
  • Community Support

ProMost popular

For solo modelers and small utilities.$950 /year

Individual named license

Everything in free, and:
  • Scenarios
  • Professional support
  • Custom layers
Coming soon:
  • Cloud storage
  • Point in time restore - 30 days
  • Demand Analysis

Teams

For teams that build together.$2500 /year

Floating shared license

Everything in Pro, and:
  • Priority support
  • Volume discounts
  • Pay by invoice
Coming soon:
  • Team storage
  • Point in time restore - 90 days
  • Sharing of networks

Have questions? or book a call.

Special access for personal and educational use

Available for non-commercial projects, learning, and student work.

Personal

$100/year

For curious minds and personal growth.

Everything in pro, but:
  • Community support only
  • Non-commercial usage

Education

$0/year

Free for students and teachers.

Everything in pro, but:
  • Community support only
  • Non-commercial usage

Frequently asked questions

Find answers to common questions about epanet-js.

Just open your browser and model.

No install. No login. No cloud required.

Launch epanet-js now

Gpu Computing For Topology Optimization May 2026

The core challenge in topology optimization is the , which consumes the majority of computation time.

The integration of into topology optimization has transformed it from a "conceptual stage" tool into a "production-ready" powerhouse . While traditional methods on CPUs often struggle with high-resolution meshes due to the sheer number of degrees of freedom, GPUs leverage parallel processing to solve these complex problems up to two orders of magnitude faster. 🚀 The Computational Leap: GPU vs. CPU

To maximize performance, researchers use specialized algorithms that align with the GPU’s SIMT (Single-Instruction-Multiple-Threads) architecture. 1. Matrix-Free Solvers

: Parallelizing these tasks on a GPU can reduce power consumption by up to 93% . 🛠️ Key GPU-Based Strategies

: GPUs use thousands of cores to perform fine-grained operations simultaneously.

A better future for water modeling.

Simple, quick, and useful right out of the gate — designed to open-and-go.

Launch epanet-js now