What tl.arange(0, BLOCK_SIZE) creates: a range of indices within the current block

What numpy.arange(0, num_elements) creates: an array of evenly spaced values within the specified range, used for indexing or iteration purposes?

`numpy.arange(0, num_elements)` creates an array of `num_elements` evenly spaced values starting from 0

How tiling works in matrix multiplication — loading blocks into shared memory

Tiling in matrix multiplication optimizes cache usage by partitioning matrices into submatrices

What a thread block is in CUDA — a group of threads that share shared memory

A CUDA thread block is a group of threads executing in parallel, sharing global and shared memory

Time complexity of binary search: O(log n) — halves search space each step

Binary search reduces search space by half with each iteration, achieving O(log n) complexity

How to write a fused softmax kernel in Triton: load row, compute max, subtract, exp, sum, divide

`fused_softmax_kernel(input, output): row_max = max_pool2d(input, row_length); exp_diff = exp(input - row_max); softmax_sum = sum(exp_diff, axis=1); output = exp_diff / softmax_sum`

Reed-Solomon error correction: What is the mathematical formula representing the minimum number of redundant symbols required to correct a given number of symbol errors in a Reed-Solomon code?

Minimum redundant symbols = (2t + 1) * k, where t = (number of symbol errors)/(2t + 1) and k = (codeword length - data length)