Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

When was the last time you had to put pen to paper and solve an equation like you used to at school? A simple-looking sum was posted to X this week by Break the Silos, that has left self-proclaimed ...

Naive matrix multiply: C = A * B. Each thread computes one element of C: C[row, col] = sum_k A[row, k] * B[k, col] # 2D indexing: derive global row/col from block and thread indices. # blockIdx.y, ...

Abstract: The proliferation of RISC-V platforms and their use in a wide variety of scientific applications, including deep learning scenarios, has dramatically increased the interest to generate ...

This is a fork of llama.cpp with a custom ggml backend that offloads matrix multiplication to the AMD XDNA2 NPU found in Ryzen AI MAX processors (e.g. Ryzen AI MAX 385). The NPU backend accelerates ...

Finding the inert samples in Marathon can be maddening, as their possible spawns are all over Dire Marsh and tend to be in or ...