Nvidia introduced its next-generation mobile
processor, Tegra K1, at the International Consumer Electronics Show
(CES) in Las Vegas. The 192-core super chip,
built on Kepler architecture, brings “the heart of GeForce and the soul
of Tesla to mobile computing,” said Nvidia CEO Jen-Hsun Huang at the
company's press event on Sunday.
The Tegra K1 comes in two versions: a 32-bit, quad core 4-Plus-1 ARM
Cortex A15 CPU, slated to go into production in the first half of 2014,
and a 64-bit version built on dual Denver CPUs to be available in the
latter half of 2014. The 64-bit Tegra is designed for “high performance
single threaded and very high performance multithreaded processes,”
Huang said.
At the most basic level, Tegra (and a combination of other Nvidia
products such as Shield, which allows for ultra-high quality game
streaming) enables console and computer games to be played on a mobile
platform without quality degradation.
Tegra K1 is the first mobile
processor to deliver the same graphics features as consoles such as the
Xbox and PlayStation, but with faster performance.
“We can take absolutely anything that runs on PC or high-end
console and run it on Tegra… I didn’t think that we’d be at this level
on mobile for another three to four years,” Epic Games Founder Tim
Sweeney said.
The processor is a major step forward in game development,
allowing for a new level of graphics display that solves the problem of
frame stutter and lag. Huang showed Epic Games’ Unreal Engine 4 running
on a Tegra K1 mobile processor, highlighting capabilities for photo-real
displays alongside global illumination and physics simulations using
multiple render targets.
“Tegra K1 makes possible and turns your PC into an amazing game
console,” Huang said. “It self-detects and reconfigures games so you can
get best game rate.”
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| Nvidia introduced its next-generation mobile processor, Tegra K1, at International CES. Nvidia CEO Jen-Hsun Huang said the 192 core super chip, built on Kepler architecture, brings “the heart of GeForce and the soul of Tesla to mobile computing.” |
Huang demonstrated several real-time generated graphics, including a
face with subtle shadows and changes in skin coloration based on
lighting. Other demonstrations highlighted texture and pupil adaptation.
These aimed to simulate the variations in detail we see in different
light.
An automotive Tegra platform is already sampling and “makes it
possible to run the types of applications that dedicated (automated
driver assistance systems) boxes do today,” Huang said. Pedestrian
detection, blind-spot monitoring, lane departure warning, and other
signals would be made possible through optical flow, histogram, and
feature detection on Tegra’s programmable platform.
“We will see a rapid rate of algorithm advancement,” Huang said.
“This brings to bear our last decade of work in computer vision and GPU
computing.”
"To process the steady deluge of sensor and camera data required by a
self-driving car, NVIDIA is bringing highly energy-efficient
supercomputer technology inside the vehicle," said Taner Ozcelik,
vice president and general manager of the automotive business at
NVIDIA. "Tegra K1 solves this by providing 10 times the computing power
of previous mobile processors without consuming additional energy."
Additionally, the Tegra K1 Visual Computing Module brings real
time rendering to car design. Dubbed “Project Mercury,” Nvidia’s CES
demonstration included customizable digital dashboards and
photo-realistic rendered materials.
“We see no reason why industrial design should end at physical construction of the car,” Huang said.
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