d-Matrix proposes 3D DRAM as a solution to the rising AI data problem using stacked memory to deliver SRAM-Like bandwidth with magnitudes higher efficiency than HBM. The Time For 3D DRAM Is Now, Says ...

Rolando D. Somma of Google Quantum AI and colleagues have devised a quantum algorithm that efficiently solves the Sylvester equation, a fundamental linear matrix equation used in fields from control ...

DeepMind's AlphaEvolve now advances one of theoretical CS's most-tracked constants in partnership with the same academics who set the last two records, a signal that AI-driven combinatorial search is ...

Elementary school students might memorize their times tables for single-digit numbers, but memorization won’t cut it when the teacher asks for three-digit multiplication. This requires an algorithm: ...

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...

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 ...

Error rates in constructing quantum circuits for diagonal matrices have decreased by a factor of 0.1 compared to existing methods, representing a substantial ...

This document is designed to help users quickly understand, use, and maintain the Python implementation of the Matrix-Sparsity-Based Pauli Decomposition (MSPD) algorithm. It specifies the function, ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...