Introduce Quadtrix benchmark suite with Python and C++ support (#44)

## Summary
- Project Versioning: Sets the starting project version to 0.1.0.

- Code Shortcuts (Macros): Creates clean shorthand terms for CUDA
keywords (like wrapping __device__ into QX_DEVICE) to make writing GPU
kernels cleaner.

- Math & Memory Utilities: Adds fast math helpers for aligning memory,
rounding numbers, and calculating power-of-two boundaries quickly.

- Memory Optimization: Forces a 128-byte memory alignment to ensure the
GPU can read data as fast as possible (coalesced memory access).

- Automatic Error Checking: Introduces safety wrappers (CUDA_CHECK,
CUBLAS_CHECK, NCCL_CHECK) that instantly watch for crashes or failures
in Nvidia's core hardware and math libraries, making debugging much
easier.

Author: Eamon2009

README.md

@@ -1,4 +1,6 @@
 # Quadtrix.cpp
+<img width="2442" height="1586" alt="run_20260508_110726" src="https://github.com/user-attachments/assets/ef51d1c3-e28e-4674-8a71-5513e753b174" />
+
 Quadtrix.cpp is a local language model project with several execution paths:
 
 - A dependency-free C++17 transformer implementation with manual forward and backward passes.
@@ -15,10 +17,6 @@ Quadtrix.cpp is a local language model project with several execution paths:
 The project is designed as a technical learning implementation. The C++ path exposes the transformer internals directly: tensor operations, attention, layer normalization, cross-entropy, analytical gradients, AdamW, checkpointing, and autoregressive generation.
 
 ## v1.1.0 
-<img width="2442" height="1586" alt="run_20260508_110726" src="https://github.com/user-attachments/assets/ef51d1c3-e28e-4674-8a71-5513e753b174" />
-
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-
 <img width="2185" height="829" alt="run_20260430_192930" src="https://github.com/user-attachments/assets/c6db061a-aa8d-4d8d-a1e2-1a81418bb613" />
 
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