Abstract: The multiplication algorithm has been widely implemented in many computations and tasks. In the multiplication algorithm, the multiplication of two numbers has a characteristic of ...

Abstract: Nowadays high-performance computing is gradually implementing Exa-scale computing, and the performance of single node has reached several T-flops. Communication problem has become one of the ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

Researchers Manuel Kauers and Jakob Moosbauer of Johannes Kepler University Linz have already broken Deepmind's record for matrix multiplication by one step, they write in their paper. They developed ...

Matrix multiplication is at the heart of many computational tasks, including neural networks, 3D graphics... DeepMind recently introduced AlphaTensor, a deep reinforcement learning approach based on ...

On Wednesday, an article titled "Discovering faster matrix multiplication algorithms with reinforcement learning" appeared in the journal Nature; since then, this work has attracted considerable ...

Implement F-DST to solve 2-D PDE(fast poisson solver) and FFT to compute Multiplication algorithm(Schönhage–Strassen algorithm) with C ...

Developing faster algorithms is an important but elusive goal for data scientists. The ability to accelerate complex computing tasks and reduce latency has far-reaching ramifications in areas such as ...