# TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution

## TL;DR

TaskUniVerse introduces a unified programming interface that enables seamless, framework-agnostic task-based parallel programming across diverse hardware architectures, enhancing portability and flexibility.

## Contribution

It proposes a common interface for various task-based parallel frameworks, simplifying development and promoting interoperability without modifying existing programs.

## Key findings

- Successfully ran matrix operations across multiple frameworks
- Framework cooperation configured externally without code changes
- Enhanced program portability and flexibility

## Abstract

Task based parallel programming has shown competitive outcomes in many aspects of parallel programming such as efficiency, performance, productivity and scalability. Different approaches are used by different software development frameworks to provide these outcomes to the programmer, while making the underlying hardware architecture transparent to her. However, since programs are not portable between these frameworks, using one framework or the other is still a vital decision by the programmer whose concerns are expandability, adaptivity, maintainability and interoperability of the programs. In this work, we propose a unified programming interface that a programmer can use for working with different task based parallel frameworks transparently. In this approach we abstract the common concepts of task based parallel programming and provide them to the programmer in a single programming interface uniformly for all frameworks. We have tested the interface by running programs which implement matrix operations within frameworks that are optimized for shared and distributed memory architectures and accelerators, while the cooperation between frameworks is configured externally with no need to modify the programs. Further possible extensions of the interface and future potential research are also described.