Compute Benchmark Suite

A high-performance compute benchmark application optimized for x86-64 architecture with SSE2 SIMD instructions.

Overview

This benchmark suite tests various compute-intensive operations including:

• Matrix multiplication (200x200 matrices)
• Cryptographic hashing (10MB data processing)
• String pattern matching (4.5M character text search)
• Memory operations (50MB copy operations)
• Polynomial evaluation (10M iterations)

The code is optimized using x86 SSE2 SIMD intrinsics for maximum performance on Intel and AMD processors.

Building with Docker

Build the Docker image:

docker build -t benchmark-suite .

Running the Benchmark

Run the benchmark suite:

docker run --rm benchmark-suite

This will execute all benchmark tests and display timing results for each operation.

Architecture Notes

• Optimized for: x86-64 architecture with SSE2 support
• SIMD Instructions: Uses SSE2 intrinsics (__m128d, __m128i) for vectorized operations
• Fallback: Includes scalar fallback implementation for non-x86 platforms

Output Example

========================================
  Compute Benchmark Suite
  x86-64 with SSE2 Optimizations
========================================

=== Matrix Multiplication Benchmark ===
Matrix size: 200x200
Time: 8 ms
Result sum: 2.00393e+08

=== Hashing Benchmark ===
Data size: 10240 KB
Time: 9 ms
Hash: 0xbfd8e92e2fb01505

...

Project Structure

The benchmark suite is organized into separate modules:

• main.cpp - Main entry point and benchmark orchestration
• matrix_operations.{h,cpp} - Matrix multiplication with SSE2 optimizations
• hash_operations.{h,cpp} - Cryptographic hashing with SIMD acceleration
• string_search.{h,cpp} - String pattern matching using SSE2
• memory_operations.{h,cpp} - Fast memory copy operations
• polynomial_eval.{h,cpp} - Vectorized polynomial evaluation

Each module uses C++11 standard library and x86 SSE2 intrinsics where applicable.