Jérôme Richard questions

Jérôme Richard answers

• Numba JIT slower than pure python with parameterized function
• Is there a way to apply a numpy function that takes two 1d arrays as arguments on each row of two 2d arrays together?
• Numpy power returns negative value
• Python 3.11 worse optimized than 3.10?
• Speeding up einsum for specific matrix and vector size
• Numba crashes Python with parallel=True flag set
• Why won't simple code get auto-vectorized with SSE and AVX in modern compilers?
• How to measure the ACTUAL number of clock cycles elapsed on modern x86?
• Why does adding a break statement significantly slow down the Numba function?
• Iterative algorithms in NumPy by abusing as_strided