Terra

Author:

DeVito Zachary1,Hegarty James1,Aiken Alex1,Hanrahan Pat1,Vitek Jan2

Affiliation:

1. Stanford University, Stanford, USA

2. Purdue University, West Lafayette, USA

Abstract

High-performance computing applications, such as auto-tuners and domain-specific languages, rely on generative programming techniques to achieve high performance and portability. However, these systems are often implemented in multiple disparate languages and perform code generation in a separate process from program execution, making certain optimizations difficult to engineer. We leverage a popular scripting language, Lua, to stage the execution of a novel low-level language, Terra. Users can implement optimizations in the high-level language, and use built-in constructs to generate and execute high-performance Terra code. To simplify meta-programming, Lua and Terra share the same lexical environment, but, to ensure performance, Terra code can execute independently of Lua's runtime. We evaluate our design by reimplementing existing multi-language systems entirely in Terra. Our Terra-based auto-tuner for BLAS routines performs within 20% of ATLAS, and our DSL for stencil computations runs 2.3x faster than hand-written C.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference33 articles.

Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generating C: Heterogeneous metaprogramming system description;Science of Computer Programming;2024-01

2. Multi-Stage Vertex-Centric Programming for Agent-Based Simulations;Proceedings of the 22nd ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences;2023-10-22

3. Pushing the Level of Abstraction of Digital System Design: A Survey on How to Program FPGAs;ACM Computing Surveys;2022-12-03

4. LuisaRender;ACM Transactions on Graphics;2022-11-30

5. Multinode Multi-GPU Two-Electron Integrals: Code Generation Using the Regent Language;Journal of Chemical Theory and Computation;2022-10-06

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