# STOMP: A Tool for Evaluation of Scheduling Policies in Heterogeneous Multi-Processors

arXiv: https://arxiv.org/abs/2007.14371 · HTML: https://mlsanity.com/paper/2007.14371/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jul 2020.

## Built on by (most cited first, 2 of 2)

- [Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing](https://mlsanity.com/paper/2410.07364/) (2024)
- [A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning](https://mlsanity.com/paper/2104.13187/) (2021)

## Abstract (arXiv)

The proliferation of heterogeneous chip multiprocessors in recent years has reached unprecedented levels. Traditional homogeneous platforms have shown fundamental limitations when it comes to enabling high-performance yet-ultra-low-power computing, in particular in application domains with real-time execution deadlines or criticality constraints. By combining the right set of general purpose cores and hardware accelerators together, along with proper chip interconnects and memory technology, heterogeneous chip multiprocessors have become an effective high-performance and low-power computing alternative. One of the challenges of heterogeneous architectures relates to efficient scheduling of application tasks (processes, threads) across the variety of options in the chip. As a result, it is key to provide tools to enable early-stage prototyping and evaluation of new scheduling policies for heterogeneous platforms. In this paper, we present STOMP (Scheduling Techniques Optimization in heterogeneous Multi-Processors), a simulator for fast implementation and evaluation of task scheduling policies in multi-core/multi-processor systems with a convenient interface for "plugging" in new scheduling policies in a simple manner. Thorough validation of STOMP exhibits small relative errors when compared against closed-formed equivalent models during steady-state analysis.