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Streamlining Hardware Design with Churchroad

A new tool simplifies hardware design by optimizing the use of DSPs.

Gus Henry Smith, Colin Knizek, Daniel Petrisko, Zachary Tatlock, Jonathan Balkind, Gilbert Louis Bernstein, Haobin Ni, Chandrakana Nandi

― 6 min read


Churchroad: Redefining Churchroad: Redefining Hardware Mapping hardware design processes. New tool simplifies and optimizes
Table of Contents

In the world of creating hardware, there are tools that help us connect big ideas to small parts. Imagine trying to fit a grand plan for a modern building into a set of LEGO blocks. It sounds tricky, right? This is what hardware designers do when they take high-level designs and try to fit them into specific hardware pieces, like FPGAs (Field Programmable Gate Arrays). Sometimes, these tools do not manage to use all the features of these hardware pieces efficiently.

A common challenge arises when trying to get complex parts, like digital signal processors (DSPS), to work together. You might think of DSPs as the special chefs in our kitchen, capable of handling particular dishes. However, when we ask them to prepare several dishes at once, our current tools often fall short. They may use multiple chefs (DSPs) when a single chef could handle multiple tasks at once.

To make things work better, some clever folks tried using a new method called sketch-guided program synthesis. This method tries to map high-level designs to the hardware more intelligently. But here come the hiccups! First, creating these Sketches, which act like blueprints, is no walk in the park. It requires quite a bit of expertise and can be a pain to write. Second, the software that helps make these sketches sometimes gets stuck on tasks like multiplication, which is pretty common in hardware designs.

Main Problems in Current Techniques

Let's break this down.

Problem One: Sketches are Hard to Write

Imagine you are asked to draw a picture of what your dream house looks like, but you have to do it with very few hints-just a few scribbles and squiggles. That’s kind of what users of Lakeroad face. They need to provide an outline of how their designs should look, but writing these sketches takes time and requires knowing a lot about how the designs work.

Problem Two: Limitations of Current Tools

The second issue is that the open-source solvers, the software that helps make these sketches work, have a tough time handling multiplication and larger designs. It’s like trying to solve a jigsaw puzzle but realizing that the pieces are too many to fit in the box. These solvers can stall or just give up when faced with complex tasks.

Introducing a New Solution

Here’s where our new friend comes into play-equality saturation, or eqsat for short. Think of eqsat as a friendly assistant that can help break down those big challenges into smaller, more manageable tasks. It’s like slicing a large cake into bite-sized pieces so everyone can enjoy it, instead of trying to stuff the whole thing in your mouth at once.

By using eqsat, we can handle larger designs in parts and compile them one by one. This helps make things easier for the solvers and eliminates the need for users to stress about providing sketches. So, no more drawing houses with only scribbles!

A New Tool: Churchroad

Enter Churchroad, the new tool on the block that uses eqsat to map designs without needing those pesky sketches. It’s like having a magical box that not only organizes your toys but also knows how to build amazing structures with them. Churchroad takes a high-level design and uses eqsat rules to figure out the best way to break it down into simpler parts that can be managed more easily.

How does it work? First, Churchroad identifies parts of the design that can be implemented using DSPs, the specialized pieces of hardware we talked about earlier. Churchroad’s rules help it search through the design, mark potential DSP implementations, and then reach out to Lakeroad for help.

Breaking Down the Process

Now, let’s take a closer look at how Churchroad works.

Step 1: Finding the Design

Imagine you have a recipe for a delicious cake. Before baking, you’ll need to understand each ingredient and its function. Churchroad starts with a high-level design, like our recipe, and then identifies which parts of the design can be made better by using DSPs.

Step 2: Proposing DSP Implementation

Once the potential DSP areas are identified, Churchroad proposes these areas to Lakeroad, which acts like a trusted chef who knows exactly how to handle those ingredients. Unlike before, where users had to provide their own outlines, Churchroad generates these outlines automatically. It’s like having a smart kitchen assistant that knows just how to chop, mix, and bake.

Step 3: Making it Work

After Churchroad gathers all the necessary information, it sends those proposals to Lakeroad. Lakeroad takes these proposals and comes up with the best ways to implement them. Think of it as our chef now taking the ingredients and preparing the cake.

Step 4: Putting It All Together

Once Lakeroad has finished cooking up a plan, Churchroad pulls everything together into a final design. This means that without the extra headache of writing sketches and dealing with complex multiplication, users can have their designs ready to go.

Summary of Benefits

So, what do we gain from all this?

  1. Easier to Use: No more sketch-writing headaches! Churchroad simplifies the design process by automatically generating the necessary outlines.

  2. Handles Complex Tasks: Churchroad can split big tasks into smaller ones, allowing solvers to work without getting stuck on complicated multiplication.

  3. More Efficient Designs: By optimizing the use of DSPs, Churchroad can make better use of hardware resources, which means designs are both faster and cheaper to implement.

Future Prospects

So, what’s next for Churchroad? The dream is to use eqsat not just for this tool, but to connect with other tools that can help in the technology mapping process. Imagine a whole team of experts working together seamlessly, each with their own specialty, to create even better designs faster.

In the future, we also hope to refine Churchroad further by automating its rules completely. This means no more manual work, just pure efficiency!

Conclusion

In the end, Churchroad shines a light on a better way to map designs to hardware. Like a trusty sidekick, it helps designers navigate through challenges easily, allowing for smoother and more efficient work. Imagine a world where hardware designs are as easy to create as pie-now that’s a world worth dreaming about!

So let's raise a toast, or perhaps a slice of cake, to the future of hardware design, where complexity meets simplicity, and everyone can build their dreams without the headaches. Happy designing!

Original Source

Title: Scaling Program Synthesis Based Technology Mapping with Equality Saturation

Abstract: State-of-the-art hardware compilers for FPGAs often fail to find efficient mappings of high-level designs to low-level primitives, especially complex programmable primitives like digital signal processors (DSPs). New approaches apply sketch-guided program synthesis to more optimally map designs. However, this approach has two primary drawbacks. First, sketch-guided program synthesis requires the user to provide sketches, which are challenging to write and require domain expertise. Second, the open-source SMT solvers which power sketch-guided program synthesis struggle with the sorts of operations common in hardware -- namely multiplication. In this paper, we address both of these challenges using an equality saturation (eqsat) framework. By combining eqsat and an existing state-of-the-art program-synthesis-based tool, we produce Churchroad, a technology mapper which handles larger and more complex designs than the program-synthesis-based tool alone, while eliminating the need for a user to provide sketches.

Authors: Gus Henry Smith, Colin Knizek, Daniel Petrisko, Zachary Tatlock, Jonathan Balkind, Gilbert Louis Bernstein, Haobin Ni, Chandrakana Nandi

Last Update: 2024-11-19 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2411.11036

Source PDF: https://arxiv.org/pdf/2411.11036

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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