How does HVM achieve GPU acceleration?

It compiles functional code into a graph of interaction nodes which are then reduced simultaneously across thousands of GPU threads using CUDA or Metal shaders.

Is this skill suitable for machine learning tasks?

Yes, its ability to handle massively parallel reductions makes it an excellent candidate for the mathematical heavy-lifting found in data science and machine learning models.

What is 'Optimal Sharing' in HVM?

Optimal sharing ensures that the runtime never duplicates the work of evaluating a functional expression, efficiently managing memory and computation cycles.

What is the Bend language mentioned in this skill?

Bend is a high-level functional language specifically designed to run on HVM, allowing developers to write Python-like code that auto-parallelizes on hardware.

What is the HVM Runtime skill?

HVM (Higher-order Virtual Machine) Runtime is a skill that allows Claude to generate and manage functional programs designed for massive parallelism using interaction nets.

HVM Parallel Runtime

Name: HVM Parallel Runtime
Author: plurigrid

byplurigrid

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数据科学与机器学习

Implements massively parallel functional computation using interaction nets and GPU-accelerated graph reduction.

The HVM Runtime skill enables Claude to architect and implement high-performance functional programs leveraging the Higher-order Virtual Machine. It specializes in compiling functional code, such as the Bend language, into interaction nets for optimal, parallel reduction on CPUs and GPUs. By utilizing interaction net nodes like Lambdas, Duplicators, and Superpositions, this skill allows for hardware-accelerated execution that bypasses traditional threading bottlenecks, making it ideal for computationally intensive tasks requiring functional purity and massive scale.

主要功能

01Automated parallelization for recursive and map-reduce patterns

02Massively parallel functional execution via Interaction Nets

038 GitHub stars

04GPU-accelerated graph reduction using CUDA and Metal

05Integration with the Bend functional programming language

06Optimal sharing to prevent redundant computational work

使用场景

01Compiling functional logic into optimized interaction net architectures

02Building high-performance recursive algorithms that scale across GPU cores

03Profiling and debugging parallel reduction paths for large-scale data processing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi hvm-runtime

For use in Claude.ai and ChatGPT

Download Skill