Submitted:
10 December 2025
Posted:
11 December 2025
You are already at the latest version
Abstract
This paper introduces a sophisticated programming language specifically designed for high-performance, dataparallel operations across diverse data types, including streams and data frames. Our framework integrates with advanced compiler infrastructure to facilitate the efficient translation and deployment of data-intensive programs on distributed systems. This innovative language aims to simplify the development of robust, scalable data science applications by abstracting away low-level distributed programming complexities and enabling powerful domain-specific optimizations.
Keywords:
compiler optimization
; data-parallel workflows
; programming languages
; distributed systems
; high-performance computing
; automatic parallelization
; domain-specific optimizations
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
