Google’s DeepMind Has a Long-term Goal of Artificial General Intelligence

September 14, 2022

When DeepMind, an Alphabet subsidiary, started off more than a decade ago, solving some most pressing research questions and problems with AI wasn’t at the top of the company’s mind. Instead, the company started off AI research with computer games. Every score and win was a measuring stick of success... Read more…

Life in a Drop: Ohio Supercomputer Helps Prove Hydration’s Role in Protein Folding

July 14, 2016

It’s perhaps fitting that in the middle of the summer, when water management is a common challenge, that a paper in the Proceeding of the National Academy of Sciences (PNAS) offers more proof that life as we know it can’t occur without water. Using Ohio Supercomputing Center resources, researchers have shown the critical role water plays in actively guiding protein folding and movement. “For a long time, scientists have been trying to figure out how water interacts with proteins... Read more…

Stanford Links Smartphones for Distributed, Disease-fighting Simulations

January 20, 2015

The smartphone has already usurped the role of the computer in a number of ways, whether you use it for navigation, to check the weather, or take and share phot Read more…

Sony Removes [email protected] Service from PS3

October 22, 2012

After a successful five-year run, Sony is ending its participation with Stanford University's [email protected] project. Read more…

GPUs Accelerate Scientific Progress

November 4, 2010

Originally designed for video games, GPUs are now making their mark in the world of chemistry. Read more…

Humans Out-Compute Supers at Protein Folding

August 4, 2010

The Singularity is not so near after all. Read more…

[email protected] Tops 5 Petaflops

February 24, 2009

Last week, the [email protected] team reported that they achieved five petaflops of processing power for their popular protein folding research project. Read more…

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).

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QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

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