techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
marktechpost

NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab

In this tutorial, we implement an advanced hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for writing efficient CUDA-style kernels directly in Python. We start by ...
IEEE

Matrix Coding Enabled Impact Mitigation Against Primary False Data Injection Attacks in Cyber-Physical Microgrids

Abstract: The impact mitigation against false data injection attacks (FDIAs) has become a prevailing topic in enhancing the cyber resilience of microgrids. In particular, the primary FDIA (PFDIA) ...
IEEE

Secure and Efficient Distributed Matrix Multiplication Based on Polynomial Coding

Abstract: Matrix multiplication is a fundamental computational operation widely used in various engineering applications. To accelerate large-scale matrix multiplication, computing tasks are commonly ...