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