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Introducing Parker, NVIDIA’s Newest SOC for Autonomous Vehicles

NVIDIA today took the cloak off Parker, our newest mobile processor that will power the next generation of autonomous vehicles.

Get Under the Hood of Parker, Our Newest SOC for Autonomous Vehicles

Get Under the Hood of Parker, Our Newest SOC for Autonomous Vehicles

Speaking at the Hot Chips conference in Cupertino, California, we revealed the architecture and underlying technology of this highly advanced processor, which is ideally suited for automotive applications like self-driving cars and digital cockpits.

You may recall we mentioned Parker at CES earlier this year, when we introduced the NVIDIA DRIVE PX 2 platform (shown above). That platform uses two Parker processors and two Pascal architecture-based GPUs to power deep learning applications. More than 80 carmakers, tier 1 suppliers and university research centers around the world are now using our DRIVE PX 2 system to develop autonomous vehicles. This includes Volvo, which plans to road test DRIVE PX 2 systems in XC90 SUVs next year.

Parker diagramForging a Future for Automotive

Parker delivers class-leading performance and energy efficiency, while supporting features important to the automotive market such as deep learning, hardware-level virtualization for tighter design integration, a hardware-based safety engine for reliable fault detection and error processing, and feature-rich IO ports for automotive integration.

Built around NVIDIA’s highest performing and most power-efficient Pascal GPU architecture and the next generation of NVIDIA’s revolutionary Denver CPU architecture, Parker delivers up to 1.5 teraflops(1) of performance for deep learning-based self-driving AI cockpit systems.

Need for Speed

Parker delivers 50 to 100 percent higher multi-core CPU performance than other mobile processors(2). This is thanks to its CPU architecture consisting of two next-generation 64-bit Denver CPU cores (Denver 2.0) paired with four 64-bit ARM Cortex A57 CPUs. These all work together in a fully coherent heterogeneous multi-processor configuration.

The Denver 2.0 CPU is a seven-way superscalar processor supporting the ARM v8 instruction set and implements an improved dynamic code optimization algorithm and additional low-power retention states for better energy efficiency. The two Denver cores and the Cortex A57 CPU complex are interconnected through a proprietary coherent interconnect fabric.

A new 256-core Pascal GPU in Parker delivers the performance needed to run advanced deep learning inference algorithms for self-driving capabilities. And it offers the raw graphics performance and features to power multiple high-resolution displays, such as cockpit instrument displays and in-vehicle infotainment panels.

Scalable Architecture

Working in concert with Pascal-based supercomputers in the cloud, Parker-based self-driving cars can be continually updated with newer algorithms and information to improve self-driving accuracy and safety.

Parker includes hardware-enabled virtualization that supports up to eight virtual machines. Virtualization enables carmakers to use a single Parker-based DRIVE PX 2 system to concurrently host multiple systems, such as in-vehicle infotainment systems, digital instrument clusters and driver assistance systems.

Parker is also a scalable architecture. Automakers can use a single unit for highly efficient systems. Or they can integrate it into more complex designs, such as NVIDIA DRIVE PX 2, which employs two Parker chips along with two discrete Pascal GPU cores.

In fact, DRIVE PX 2 delivers an unprecedented 24 trillion deep learning operations per second to run the most complex deep learning-based inference algorithms. Such systems deliver the supercomputer level of performance that self-driving cars need to safely navigate through all kinds of driving environments.

parker_specifications_two

Parker Specifications

To address the needs of the automotive market, Parker includes features such as a dual-CAN (controller area network) interface to connect to the numerous electronic control units in the modern car, and Gigabit Ethernet to transport audio and video streams. Compliance with ISO 26262 is achieved through a number of safety features implemented in hardware, such as a safety engine that includes a dedicated dual-lockstep processor for reliable fault detection and processing.

Parker is architected to support both decode and encode of video streams up to 4K resolution at 60 frames per second. This will enable automakers to use higher resolution in-vehicle cameras for accurate object detection, and 4K display panels to enhance in-vehicle entertainment experiences.

Expect to see more details on Parker’s architecture and capabilities as we accelerate toward making the self-driving car a reality.

  1. References the native FP16 (16-bit floating-point) processing capability of Parker.
  2. Based on SpecINT2K-Rate performance measured on Parker development platform and devices based on competing mobile processors.

NVIDIA Launches Quadro M6000 with 24GB of Graphics Memory

NVIDIA Launches Quadro M6000 with 24GB of Graphics Memory

NVIDIA Launches Quadro M6000 with 24GB of Graphics Memory

NVIDIA has launched a new version of the Quadro M6000, the high-end Quadro for workstations and profesional applications. This new version of the Quadro M6000 comes with 24GB of GDDR5 memory, twice as much GPU memory as the previous M6000 (launched in 2015).

The new Quadro M6000 24GB is based on a full GM200 GPU (Maxwell architecture) with 3072 CUDA cores.

You can have one of those graphics cards for around USD $5000

The World’s Most Powerful Workstation Graphics Card.

The NVIDIA M6000 24GB is the world’s most powerful workstation graphics card, giving you the extreme performance and on-board memory to take on your biggest visualization challenges. Artists, animators, and editors can now work in real-time on their most complex projects with multiple layers and advanced effects. Plus, product designers and engineers don’t have to compromise on model complexity or image quality when working on large assemblies; they can now integrate interactive, physically based rendering and simulation to evaluate product design and functionality in entirely new ways. Geophysicists can also accelerate their time-to-insight in seismic exploration by holding substantially larger data sets in memory for faster processing and analysis.

Quadro cards are certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists. This gives you the peace of mind to focus on doing your best work. Whether you’re developing revolutionary products or telling spectacularly vivid visual stories, Quadro gives you the performance to do it brilliantly

NVIDIA Quadro M6000 24GB specifications

NVIDIA Quadro homepage is available HERE.

NVIDIA just published an article that shows the advantages of their new beast:

At Sony Pictures Imageworks, we regularly push the limits of our ability to display and interact with very complex scenes,” said Erik Strauss, executive director of software development at Sony Pictures Imageworks. “The Quadro M6000 24GB gives us a 10x performance boost with the throughput necessary to display these types of large scenes smoothly and interactively.

Read more: How Industry Giants Streamline Their Design Workflows.


NVIDIA Quadro M6000 with 24GB of Graphics Memory
NVIDIA Quadro M6000 with 24GB of Graphics Memory

Nvidia releases driver for MGS5 and Mad Max

Nvidia releases driver for MGS5 and Mad Max:MGS V Phantom Pain 4K

Nvidia releases driver for MGS5 and Mad Max:MGS V Phantom Pain 4K

Happy Metal Gear Solid V: The Phantom Pain day! Or maybe you’re playing Mad Max? Either way, Nvidia has a driver for you. Sexily named the GeForce Game Ready 355.82 WHQL Mad Max and Metal Gear Solid V: The Phantom Pain drivers, you can download through GeForce Experience or on the GeForce site.

Apparently, you’ll get “Game Ready optimizations, a NVIDIA Control Panel Ambient Occlusion profile, and a SLI profile”. That SLI profile will let you play at 4K and 5K resolutions, and if you want to see what that looks like there’s a trailer here from NVIDIA:

 



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My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
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Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

جهت نمایش صفحه معرفی و رزومه کلیک کنید

My Scientific expertise
  • Image processing
  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
  • Game and Virtual reality

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