Apple bolsters its chip team by hiring architect who worked at ARM, Intel, AMD

Apple bolsters its chip team by hiring architect who worked at ARM, Intel, AMD

Enlarge / Apple’s iPad Pro had a new, Apple-designed chip called the A12X that rivaled many high-end laptop CPUs in performance. (credit: Samuel Axon)

Apple has hired an experienced CPU designer to join its team. Mike Filippo joined Apple last month with the title Architect, according to his LinkedIn profile. The move ends a decade spent at ARM, where he was lead architect on several chip products. Filippo also spent time working on CPUs at Intel and Advanced Micro Devices.

The hire is a big get for Apple. ARM is responsible for technology that powers the A series chips Apple has been using in its mobile devices. For instance, the A12X in the iPad Pro springboards off the big.LITTLE architecture from ARM.

“Mike was a long-time valuable member of the ARM community,” a representative from ARM told Bloomberg. “We appreciate all of his efforts and wish him well in

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Nvidia pushes ARM supercomputing

Nvidia pushes ARM supercomputing

Enlarge (credit: Lawrence Berkeley National Laboratory [Public domain])

Graphics chip maker Nvidia is best known for consumer computing, vying with AMD’s Radeon line for framerates and eye candy. But the venerable giant hasn’t ignored the rise of GPU-powered applications that have little or nothing to do with gaming. In the early 2000s, UNC researcher Mark Harris began work popularizing the term “GPGPU,” referencing the use of Graphics Processing Units for non-graphics-related tasks. But most of us didn’t really become aware of the non-graphics-related possibilities until GPU-powered bitcoin-mining code was released in 2010, and shortly thereafter, strange boxes packed nearly solid with high-end gaming cards started popping up everywhere.

From digital currencies to supercomputing

The Association for Computing Machinery grants one or more $10,000 Gordon Bell Prize every year to a research team that has made a break-out achievement in performance, scale, or time-to-solution on challenging science and engineering problems.

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