About this course

This course provides a comprehensive guide to optimizing the performance of the Gurobi solver on various hardware configurations. It delves into how Gurobi’s performance can vary depending on factors such as CPU speed, memory bandwidth, and the number of cores available. You will explore the nuances of performance variability across different machines, understand the impact of using multiple threads, and learn about the limitations of GPUs in optimization tasks.

Additionally, the course addresses the selection of suitable hardware for running Gurobi, examines the performance differences among various Gurobi APIs, and discusses the lack of a direct correlation between problem size and solution time. It also offers guidance on tuning Gurobi parameters to match the performance of other solvers and covers the deterministic nature of Gurobi’s results under specific conditions.

This course is particularly useful for those using Gurobi on HSUper, with a special focus on installation and optimization strategies tailored for this environment.

Requirements

• Access to HSUper

Content

Gurobi Hardware and Performance

• The Gurobi hardware and performance guide discusses how Gurobi performs on various computer hardware configurations, emphasizing the benefits of high CPU speeds and low-latency, high-bandwidth memory.

Gurobi Installation on HSUper

• This guide provides detailed instructions on obtaining and installing Gurobi software on HSUper, including software download, transfer, unpacking, licensing, and configuration steps.

Gurobi Solver: Configuration, Setup, Log, Tuning

• The Gurobi solver guide provides detailed instructions on configuration, setup, and parameter tuning for solving models using Gurobi on HSUper.