Improving R Performance on MacBooks with Incorrect BLAS Libraries
Step 1: Understand the Problem
The problem is about comparing the performance of R on two different Macbooks with different BLAS libraries.
Step 2: Identify the Issue
The issue was that the BLAS library used by R was incorrect, leading to poor performance in matrix calculations.
Step 3: Find the Solution
The solution was to relink the Accelerate BLAS using the instructions provided in the RMacOSX-FAQ.
Step 4: Verify the Solution
After relinking the BLAS, the performance of the matrix calculations improved significantly.
Step 5: Provide New Results
New results are provided showing the improved performance on the M3 Macbook.
The final answer is: There is no numerical answer to this problem as it is a descriptive solution.
Last modified on 2024-12-04