Overview

Stata/MP is the most advanced edition of Stata, designed to maximize performance on multicore systems. It offers unparalleled speed and capacity for data analysis and manipulation, making it ideal for handling large datasets and computationally intensive tasks. Stata/MP supports up to 64 cores/processors, ensuring that users can leverage the full power of modern hardware to accelerate their workflows.

Features

• Multicore Support: Stata/MP provides the most extensive multicore support of any statistics and data manipulation package, allowing analyses to run significantly faster on multicore laptops, desktops, and servers.
• Speed: Stata/MP is optimized for speed, with many estimation procedures nearly perfectly parallelized. Linear regression, for example, runs twice as fast on 2 cores, four times as fast on 4 cores, and eight times as fast on 8 cores.
• Large Dataset Handling: Stata/MP can analyze up to 10 to 20 billion observations on the largest computers currently available and is ready to analyze up to 1 trillion observations once computer hardware catches up. It also supports up to 120,000 variables.
• Compatibility: Stata/MP is 100% compatible with other editions of Stata, ensuring that analyses do not need to be reformulated or modified to benefit from speed improvements.
• Platform Support: Available for Windows, macOS, and Linux, Stata/MP runs on all platforms supported by Stata, making it versatile and accessible.

Benefits

• Enhanced Performance: Users can perform data analysis in less time, significantly improving productivity and efficiency.
• Scalability: Stata/MP's ability to handle extremely large datasets makes it suitable for complex and large-scale projects.
• Flexibility: Compatible with various operating systems and hardware configurations, Stata/MP can be used in diverse environments.
• Reliability: Trusted by researchers and analysts for its robust performance and extensive capabilities.
• Ease of Use: Users can leverage the advanced features of Stata/MP without needing to modify their existing workflows, ensuring a seamless transition.