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A 1957 language, still underneath NumPy, still underneath climate models, still underneath the machines that rank the world’s fastest supercomputers. Fortran shipped its first comp...
A quiet revolution in computational materials science is unfolding at Argonne National Laboratory, where researchers have rebuilt one of the field’s most important software librari...
Cambridge, MA – MIT Media Lab – EmTech Future. Quantum computing has long suffered from an exhausting public relations cycle: on one side lies the distant theoretical promise of wo...
Insider Brief PRESS RELEASE — Researchers at the Department of Energy’s Oak Ridge National Laboratory used the world’s fastest supercomputer for open science to develop a quantum a...
Cambridge, MA – MIT Media Lab – EmTech Future. Quantum computing has long suffered from an exhausting public relations cycle: on one side lies the distant theoretical promise of wo...
Monte Carlo simulations (or methods) is the technique of applying randomness and the Law of large numbers to the solution of various scientific and engineering problems. One of its...
A comprehensive new overview traces how the community-driven Score-P measurement infrastructure and its analysis tools ecosystem have kept pace with a decade of upheaval in HPC har...
Find the whole linear algebra series hereContinue reading on Medium »
A new computational approach uses the real electronic structure of materials to predict a classic quantum effect far more accurately than simplified models. Seven magnetic atoms em...
PARTNER CONTENT: A million reasons why advanced computing matters for genomics
NVIDIA is investing $1 billion over five years to advance U.S. scientific computing and quantum infrastructure. This commitment supports research institutions, cloud providers, and...
Scientists at Oak Ridge National Laboratory (ORNL) developed LuGo, an algorithm that significantly reduces the number of quantum gate operations needed for computational fluid dyna...
The benchmark confirms that some AIs are becoming exceptional tools for research-level math. But open-source models still struggle
Researchers can now put numerical error limits on quantum simulations, showing how much confidence to place in their results. As quantum simulators become powerful enough to tackle...
Learn how to use Tachyon, Python's sampling profiler. “Tachyon” is a new sampling profiler that was introduced in Python 3.15. It provides a CLI that allows running and profil...
AI’s solution to the Navier-Stokes problem, and the details of how it happened, preview a chaotic future for math—and the world
Take a look at a typical piece of data science code today. You drop a massive matrix into a NumPy array, call a single function, and watch it crunch millions of data points instant...
NVIDIA and Jülich Supercomputing Centre simulated a 104-qubit fault-tolerant quantum computing experiment on the JUPITER supercomputer, Europe's first exascale system. This simula...
Insider Brief PRESS RELEASE — NVIDIA today announced a record-breaking quantum computing simulation on JUPITER, Europe’s first exascale supercomputer, allowing researchers to fully...
Insider Brief A new benchmark could give researchers and buyers a more practical way to compare quantum computers by measuring how much computation they can complete successfully a...
By Granth SachdevaContinue reading on Medium »
The calculations needed to train A.I. are nearly impossible to visualize — but we tried anyway.
Extreme Computing research karelmatous Mon, 08/25/2014 - 17:24 Extreme Mechanics high-performance computing la...
Today’s artificial intelligence systems are more capable than ever — thanks to the mind-boggling amount of math it takes to train them.The training mainly amounts to doing surprisi...
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