What could be better than open hardware? How about customized? | #OpenPOWERSummit
by R. Danes | Apr 23, 2016
If you’re not familiar with Moore’s Law, it states that the performance of microchip processors will double every two years. Now with OpenPOWER making news, the focus has shifted from the quantity of processing power to the quality.
But Brad McCredie, VP and fellow at IBM, says that instead of thinking of OpenPOWER as moving software closer to silicon, we should “maybe think of it as customization.”
“What you need to do is let people customize hardware into any configuration that would enable their desired use,” he told David Floyer (@dfloyer), cohosts of theCUBE, from the SiliconANGLE Media team.
McCredie spoke about a case he worked on involving deep learning and CPUs. To achieve the desired goals, “We brought the computation much, much closer to the workload. And that type of customization’s going to have a big impact on the industry,” he said.
The end game of open everything
“People are consuming open technology, because that’s the way they want to consume technology,” McCredie said. He spoke about the need to drive down the cost of open hardware so that it becomes as irresistible to customers as open software has become.
“We need to get that breadth of hardware development,” built out, and then, “we’re going to see lots and lots and lots of accelerated solutions,” he added.
@theCUBE
#OpenPOWERSummit
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Brad McCredie, IBM | OpenPOWER Summit 2016
What could be better than open hardware? How about customized? | #OpenPOWERSummit
by R. Danes | Apr 23, 2016
If you’re not familiar with Moore’s Law, it states that the performance of microchip processors will double every two years. Now with OpenPOWER making news, the focus has shifted from the quantity of processing power to the quality.
But Brad McCredie, VP and fellow at IBM, says that instead of thinking of OpenPOWER as moving software closer to silicon, we should “maybe think of it as customization.”
“What you need to do is let people customize hardware into any configuration that would enable their desired use,” he told David Floyer (@dfloyer), cohosts of theCUBE, from the SiliconANGLE Media team.
McCredie spoke about a case he worked on involving deep learning and CPUs. To achieve the desired goals, “We brought the computation much, much closer to the workload. And that type of customization’s going to have a big impact on the industry,” he said.
The end game of open everything
“People are consuming open technology, because that’s the way they want to consume technology,” McCredie said. He spoke about the need to drive down the cost of open hardware so that it becomes as irresistible to customers as open software has become.
“We need to get that breadth of hardware development,” built out, and then, “we’re going to see lots and lots and lots of accelerated solutions,” he added.
@theCUBE
#OpenPOWERSummit
