CPU tagged posts

The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU), connected to memory units and other components via traditional communication pathways, known as front-side-bus (FSB) interfaces.

Technological advances, however, have enabled the development of new integrated circuit (IC) architectures relying on multiple chiplets and more sophisticated electronic components. Intel Corporation played a crucial role in these developments, by introducing new architectures and specifications for the design of systems with multiple packaged chiplets.

Researchers at Int...

Everyone has, at one time or another, experienced how dreams can influence our moods and actions. However, putting an idea in somebody else’s head while they are dreaming in order to make them do something specific once they wake up is still the stuff of science fiction. In the 2010 movie “Inception,” Leonardo di Caprio’s character tries to get the heir of a wealthy businessman to break up his father’s empire. To do so, he shares a dream with the heir, in which through clever manipulation, the heir’s convictions about his father are subtly altered, leading him to abandon his late father’s business.

While sharing dreams and planting s...

Rice University computer scientists have demonstrated artificial intelligence (AI) software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors.

“The cost of training is the actual bottleneck in AI,” said Anshumali Shrivastava, an assistant professor of computer science at Rice’s Brown School of Engineering. “Companies are spending millions of dollars a week just to train and fine-tune their AI workloads.”

Shrivastava and collaborators from Rice and Intel will present research that addresses that bottleneck April 8 at the machine learning systems conference MLSys.

Deep neural networ...