README.md

20240914 - Dell Precision 7530 - Benchmark

Machine Specifications

• Model Name: Dell Precision - 7530
• Model Identifier: Mac14,2
• Model : 158
• Chip: Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz
• Total Number of Cores: 12
• Memory: 64 GB

Results

ArrayStats.json

ArrayStatsNoSuperWord.json

ComplexExpression.json

ComplexExpressionNoSuperWord.json

DotProduct.json

DotProductNoSuperWord.json

ElementWiseMultiplication.json

ElementWiseMultiplicationNoSuperWord.json

MatrixMultiplication.json

MatrixMultiplicationNoSuperWord.json

SimpleSum.json

SimpleSumNoSuperWord.json

Sorting.json

SortingNoSuperWord.json

VectorAddition.json

VectorAdditionNoSuperWord.json

Analysis

The benchmarks were conducted on a Dell Precision 7530 equipped with an Intel(R) Core(TM) i9-8950HK CPU @ 2.90GHz. The results indicate that vectorized implementations generally provide significant performance improvements over traditional loop-based implementations across a variety of mathematical and array operations. The SuperWord optimization further enhances the performance of vectorized implementations in most scenarios.

Key Observations

ArrayStats and ArrayStatsNoSuperWord

• Performance Improvement: Vectorized implementations show a marked improvement in performance.
• SuperWord Optimization: Provides additional gains.

ComplexExpression and ComplexExpressionNoSuperWord

• Performance Improvement: These benchmarks did not exhibit the same level of performance improvement with vectorization.
• Reason: Likely due to the complexity and nature of the operations involved.

DotProduct and DotProductNoSuperWord

• Performance Improvement: Significant performance gains were observed with vectorized implementations.
• SuperWord Optimization: Further enhances performance.

ElementWiseMultiplication and ElementWiseMultiplicationNoSuperWord

• Performance Improvement: Vectorized implementations outperformed traditional loops.
• SuperWord Optimization: Provides additional benefits.

MatrixMultiplication and MatrixMultiplicationNoSuperWord

• Performance Improvement: Vectorized implementations showed substantial performance improvements.
• SuperWord Optimization: Provides further enhancements.

SimpleSum and SimpleSumNoSuperWord

• Performance Improvement: These benchmarks did not show significant performance gains with vectorization.
• Reason: Similar to complex expressions, likely due to the simplicity of the operations.

Sorting and SortingNoSuperWord

• Performance Improvement: Vectorized sorting algorithms demonstrated improved performance over traditional sorting methods.
• SuperWord Optimization: Contributes to further gains.

VectorAddition and VectorAdditionNoSuperWord

• Performance Improvement: Vectorized implementations significantly outperformed traditional loops.
• SuperWord Optimization: Provides additional performance improvements.

Summary

Overall, the results highlight the effectiveness of vectorization and the SuperWord optimization in enhancing performance for a wide range of operations, with some exceptions in more complex or simple summation tasks.