Personal Profile

News

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.

E3 2016 Showcases More Than 2,300 Products

E3 2016 Showcases More Than 2,300 Products

E3 2016 Showcases More Than 2,300 Products

E3 2016 once again delivered as the premier place to see what’s next in video games, as more than 250 exhibitors displayed more than 2,300 products for industry professionals, analysts, journalists and gamers.

Attendees had the chance to see the newest, most anticipated video games such as Zelda: Breath of the Wild, Dishonored 2 and Battlefield 1, as well as the latest in virtual reality and updates to the current console generation from Microsoft, PlayStation and Nintendo.

This year’s event also featured the first-ever fan show, E3 Live. This brand new event, which ran alongside E3 from June 14-16, offered fans the opportunity to explore new games and technology, compete in various game competitions and interact with developers. The event sold out within hours, as 20,000 fans from more than 100 countries enjoyed concerts from Steve Aoki, Wiz Khalifa, Big Boi and Empire of the Sun.

E3 2016 Showcases More Than 2,300 Products

E3 2016 Showcases More Than 2,300 Products

Alongside the new game and product announcements, this year’s event featured the annual E3 College Game Competition, a game design contest among colleges and universities with video game development programs. Industry experts awarded top prize to Savannah College of Art and Design (SCAD) and its game Brobot Beatdown, a virtual reality Mech combat game where players pilot giant robots from a virtual cockpit to battle with friends. This was the third time in four years SCAD has won this prestigious competition.

E3 2016 once again demonstrated the true value of video games in the entertainment industry, showcasing video games’ evolution through virtual and augmented reality, mobile technology and new, more advanced consoles.

In-Game History Lessons Set to Revolutionize Classroom Learning

In-Game History Lessons Set to Revolutionize Classroom Learning

In-Game History Lessons Set to Revolutionize Classroom Learning

As game-based approaches to learning continue to grow in popularity, educators across the United States will soon have another interactive strategy game to add to their repertoire of learning tools when CivilizationEDU hits classrooms nationwide in 2017.

GlassLab Inc., a nonprofit learning company and industry-leader in digital games – established in partnership with ESA, Electronic Arts, Institute of Play, the MacArthur Foundation and the Bill & Melinda Gates Foundation –  recently partnered with Take-Two Interactive, 2K and premier development studio Firaxis Games to release an adaptation of Sid Meier’s esteemed Civilization game –  for in-school instruction.  The modified version will elevate the game to a whole new level with enhanced features like developer diaries and an online dashboard that enables teachers to generate reports on students’ progress and track in-game accomplishments.

Through the process of discovering and establishing new civilizations, students can build key critical thinking, analytic, and decision-making skills necessary to operate in an increasingly globalized world.  By creating an experience that offers both educational and entertainment value, CivilizationEDU engages students in world history, geopolitics, warfare, and the socioeconomic impact of events.

Since its debut in 1991, the Civilization series has seen remarkable success.  Now in its 25th year, the Wall Street Journal reports the game has sold more than 34 million units to retailers worldwide.  Given the franchise’s popularity and existing fan base, CivilizationEDU is predicted to be another smash hit.

In-Game History Lessons Set to Revolutionize Classroom Learning

In-Game History Lessons Set to Revolutionize Classroom Learning

Civilization has challenged millions of people around the world to revisit and experience history, boldly pursue exploration, and create their own societies based on the passions and freedom of choice,” said Strauss Zelnick, chairman and CEO of Take-Two said in a press release.  “I can’t think of a better interactive experience to help challenge and shape the minds of tomorrow’s leaders.”

While students and teachers will have to wait until 2017 to play CivilizationEDU, the hype surrounding the classroom version of the strategy game confirms the extraordinary demand for interactive games in the educational space.

GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

Russian scientists from Lomonosov Moscow State University used an ordinary GPU-accelerated desktop computer to solve complex quantum mechanics equations in just 15 minutes that would typically take two to three days on a large CPU-only supercomputer.

Senior researchers Vladimir Pomerantcev and Olga Rubtsova and professor Vladimir Kukulin used a GeForce GTX 670 with CUDA and the PGI CUDA Fortran Compiler to calculate equations formulated in the ‘60s by Russian mathematician Ludwig Faddeev that describe the scattering patterns of quantum particles. The approach described in the group’s research paper is based on a complete discretization of few-particle continuum and uses massively parallel computations to spread the calculations across thousands of different streams to successfully solve the problem on a single GPU.

“We reached the speed we couldn’t even dream of,” Kukulin said. “The program computes 260 million of complex double integrals on a desktop computer within three seconds only. No comparison with supercomputers! My  colleague from the University of Bochum in Germany, whose lab did the same, carried out the calculations by one of the largest supercomputers in Germany that is actually very expensive. And what his group is seeking for two or three days, we do in 15 minutes without spending a dime.”

GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

GPU-Accelerated PC Solves Complex Problems Hundreds of Times Faster Than Massive CPU-only Supercomputers

This work opened new ways for the researchers to analyze nuclear reactions that could help solve large computing tasks in the field of plasma physics, geophysics, medicine, and many other areas of science.

World’s Fastest Commercial Drone Powered by Jetson TX1

World’s Fastest Commercial Drone Powered by Jetson TX1

World’s Fastest Commercial Drone Powered by Jetson TX1

Records were made to be broken, and drones are no exception. Teal Drones unveiled its first production product, Teal, a Jetson TX1-powered drone capable of flight speeds in excess of 70 mph. That makes Teal the world’s fastest production drone. 

But Teal is as much a flying supercomputer platform as it is “just” a drone. Set to ship with an SDK and its own operating system — Teal OS —Teal is designed with user- and developer-friendliness firmly in mind. The drone will ship fully assembled and ready to fly straight out of the box, with the SDK providing access to software and hardware development via onboard USB ports. Built for a wide variety of uses, from drone racing to industrial applications, Teal features an onboard camera for still image and video capture, integrated storage and a microSD expansion slot, and the full visual computing power of the NVIDIA Jetson ecosystem for machine learning, image recognition, and autonomous navigation applications.

George Matus’ startup has built the world’s fastest production drone.

George Matus’ startup has built the world’s fastest production drone.

The company’s backstory is nearly as compelling as its first product. Teal Drones was founded by George Matus, Jr. Matus built his first drone from scratch at age 14, was selected as a Thiel Fellow at 16, and as CEO of Teal Drones, built the fastest production drone in the world at the ripe old age of 18. To hear him tell it, the drone itself is just the beginning of his vision for Teal.

NVIDIA TITAN X

NVIDIA TITAN X

The Ultimate.

The NVIDIA TITAN X, featuring the NVIDIA Pascal architecture, is the ultimate graphics card. Whatever you’re doing, this groundbreaking TITAN X gives you the power to accomplish things you never thought possible.
Limit 2 per customer
Watch VideoWATCH FULL VIDEO

NVIDIA PASCAL

THE WORLD’S MOST ADVANCED GPU ARCHITECTURE

GeForce GTX 10-series graphics cards are powered by Pascal to deliver up to 3x the performance of previous-generation graphics cards, plus innovative new gaming technologies and breakthrough VR experiences.

UP TO 3XFASTER PERFORMANCE
LATEST GAMING TECHNOLOGIES
NEXT-GEN VR EXPERIENCES
*Up to 3X faster performance for GeForce GTX 10 Series when compared to the GTX 900 Series

Irresponsible Amount of Performance

We packed the most raw horsepower we possibly could into this GPU. Driven by 3584 NVIDIA CUDA® cores running at 1.5GHz, TITAN X packs 11 TFLOPs of brute force. Plus it’s armed with 12 GB of GDDR5X memory – one of the fastest memory technologies in the world.

NVIDIA TITAN X
GPU Architecture Pascal
Frame Buffer 12 GB G5X
Memory Speed 10 Gbps
Boost Clock 1531 MHz

View Full Specs

Design Excellence

TITAN X is crafted to offer superior heat dissipation using vapor chamber cooling technology in a die cast aluminum body. It’s a powerful combination of brilliant efficiency, stunning design, and industry-leading performance.

NVIDIA SLI® TECHNOLOGY

SLI ULTRA BRIDGESLI

GEFORCE GTX SLI HB BRIDGE

NVIDIA’s new SLI bridge doubles the available transfer bandwidth compared to the NVIDIA Maxwell architecture. Delivering silky-smooth gameplay, it’s the best way to experience surround gaming—and it’s only compatible with the NVIDIA TITAN X, GeForce GTX 1080 and GeForce GTX 1070 graphics cards.

$XXX.XX
SELECT BRIDGE SIZE
2-Slot
3-Slot
4-Slot

Help me choose which size >

BUY NOW
Limit 1 per customer

SIgn up for the GeForce GTX Newsletter

JOIN NOW

Shop Now

NVIDIA TITAN X

NVIDIA TITAN X
Limit 2 per customer

Facebook and CUDA Accelerate Deep Learning Research

Facebook and CUDA Accelerate Deep Learning Research

Facebook and CUDA Accelerate Deep Learning Research

Last Thursday at the International Conference on Machine Learning (ICML) in New York, Facebook announced a new piece of open source software aimed at streamlining and accelerating deep learning research. The software, named Torchnet, provides developers with a consistent set of widely used  deep learning functions and utilities. Torchnet allows developers to write code in a consistent manner speeding development and promoting code re-use both between experiments and across multiple projects.

Torchnet sits atop the popular Torch deep learning framework benefits from GPU acceleration using CUDA and cuDNN.

Torchnet sits atop the popular Torch deep learning framework benefits from GPU acceleration using CUDA and cuDNN.

Torchnet sits atop the popular Torch deep learning framework benefits from GPU acceleration using CUDA and cuDNN. Further, Torchnet has built-in support for asynchronous, parallel data loading and can make full use of multiple GPUs for vastly improved iteration times. This automatic support or multi-GPU training helps Torchnet take full advantage of powerful systems like the NVIDIA DGX-1 with its eight Tesla P100 GPUs.

Facebook and CUDA Accelerate Deep Learning Research

Facebook and CUDA Accelerate Deep Learning Research

According to the Torchnet research paper, its modular design makes it easy to re-use code in a series of experiments. For instance, running the same experiments on a number of different datasets is accomplished simply by plugging in different dataloaders. And the evaluation criterion can be changed easily by plugging in a different performance meter.

Torchnet adds another powerful tool to data scientists’ toolkit and will help speed the design and training of neural networks, so they can focus on their next great advancement.

Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

A new personalized search engine helps you explore what you would look like with brown hair, curly hair or in a different time period.

Upload a selfie to Dreambit and type in a term like “curly hair” or “1930 woman”, and the software’s algorithm searches through photo collections for similar images and seamlessly maps your face onto images matching your search criteria.

Ira Kemelmacher-Shlizerman, a computer vision researcher at University of Washington, developed the image recognition software using a TITAN X GPU and the cuDNN-accelerated Caffe deep learning framework to train the models and for inference. Ira presented her paper at this week’s SIGGRAPH 2016 and the search engine will be publicly available later this year.

Illustration of the system. The system gets as input a photo and a text query. The text query is used to search a web image engine. The retrieved photos are processed to compute a variety of face features and skin and hair masks, and ranked based on how well they match to the input photo. Finally, the input face is blended into the highest ranked candidates.

Illustration of the system. The system gets as input a photo and a text query. The text query is used to search a web image engine. The retrieved photos are processed to compute a variety of face features and skin and hair masks, and ranked based on how well they match to the input photo. Finally, the input face is blended into the highest ranked candidates.

Dreambit is also able to predict what a child might look like when they are forty years old or with red hair, black hair, or even a shaved head.

Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

Artificial Intelligence System Predicts How You Will Look With Different Hair Styles

“It’s hard to recognize someone by just looking at a face, because we as humans are so biased towards hairstyles and hair colors,” said Kemelmacher-Shlizerman. “With missing children, people often dye their hair or change the style so age-progressing just their face isn’t enough. This is a first step in trying to imagine how a missing person’s appearance might change over time.”

World’s First Real-Time 3D Oil Painting Simulator

World’s First Real-Time 3D Oil Painting Simulator

World’s First Real-Time 3D Oil Painting Simulator

The painting and drawing tools most people use are 2D, but now a new project gives artists the ability to choose any brush they like, a limitless array of paint colors, and use the same natural twists and turns of the brush to create the rich textures of oil painting, all on a digital canvas.

Delivering such a realistic, physically-based painting tool requires some heavy-duty computational power, so Adobe Research collaborated with NVIDIA to create the world’s first real-time simulation-based 3D painting system with bristle-level interactions entirely with CUDA. Adobe Researchers Zhili Chen and Byungmoon Kim originally developed Project Wetbrush in 2015, but and have collaborated with NVIDIA software experts to optimize their application performance, allowing them to add even more GPU-accelerated features to the system.

This is just the beginning for the project. Using deep learning, some of the most computationally challenging physical simulations could potentially be added to create more responsive and realistic brush dynamics, or the system could even learn from itself.

World’s First Real-Time 3D Oil Painting Simulator

World’s First Real-Time 3D Oil Painting Simulator

“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers

“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers

“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers

To meet the demand of the world’s growing population, farmers need to improve the productivity of their herds.

Amsterdam-based Connecterra recently raised nearly $2 million to further develop their GPU-accelerated deep learning solution that consists of a wearable device that monitors each animal in the herd and transmits the data to a cloud platform for analysis and prediction of behavioral patterns.

“A little over a year ago, we started with a vision to contribute to solving the problems that impact the future of our planet by combining sensors and machine learning technologies,” said Yasir Khokhar, CEO of Connecterra. “Today we are turning that vision into reality by bringing usable technology to farmers, helping them increase productivity and keep the herd healthier, while reducing the impact on the environment.”

The startup expects to make the service commercially available in the first half of 2016.

“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers

“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers



Popular Pages
  • CV Resume Ahmadrezar Razian-سید احمدرضا رضیان-رزومه Resume Full name Sayed Ahmadreza Razian Nationality Iran Age 36 (Sep 1982) Website ahmadrezarazian.ir  Email ...
  • CV Resume Ahmadrezar Razian-سید احمدرضا رضیان-رزومه معرفی نام و نام خانوادگی سید احمدرضا رضیان محل اقامت ایران - اصفهان سن 33 (متولد 1361) پست الکترونیکی ahmadrezarazian@gmail.com درجات علمی...
  • Nokte feature image Nokte – نکته نرم افزار کاربردی نکته نسخه 1.0.8 (رایگان) نرم افزار نکته جهت یادداشت برداری سریع در میزکار ویندوز با قابلیت ذخیره سازی خودکار با پنل ساده و کم ح...
  • Tianchi-The Purchase and Redemption Forecasts-Big Data-Featured Tianchi-The Purchase and Redemption Forecasts 2015 Special Prize – Tianchi Golden Competition (2015)  “The Purchase and Redemption Forecasts” in Big data (Alibaba Group) Among 4868 teams. Introd...
  • Shangul Mangul Habeangur,3d Game,AI,Ahmadreza razian,boz,boz boze ghandi,شنگول منگول حبه انگور,بازی آموزشی کودکان,آموزش شهروندی,آموزش ترافیک,آموزش بازیافت Shangul Mangul HabeAngur Shangul Mangul HabeAngur (City of Goats) is a game for child (4-8 years). they learn how be useful in the city and respect to people. Persian n...
  • Brick and Mortar Store Recommendation with Budget Constraints-Featured Tianchi-Brick and Mortar Store Recommendation with Budget Constraints Ranked 5th – Tianchi Competition (2016) “Brick and Mortar Store Recommendation with Budget Constraints” (IJCAI Socinf 2016-New York,USA)(Alibaba Group...
  • Drowning Detection by Image Processing-Featured Drowning Detection by Image Processing In this research, I design an algorithm for image processing of a swimmer in pool. This algorithm diagnostics the swimmer status. Every time graph sho...
  • 1st National Conference on Computer Games-Challenges and Opportunities 2016-Featured 1st National Conference on Computer Games-Challenges and Opportunities 2016 According to the public relations and information center of the presidency vice presidency for science and technology affairs, the University of Isfah...
  • Design an algorithm to improve edges and image enhancement for under-sea color images in Persian Gulf-Featured 3rd International Conference on The Persian Gulf Oceanography 2016 Persian Gulf and Hormuz strait is one of important world geographical areas because of large oil mines and oil transportation,so it has strategic and...
  • 2nd Symposium on psychological disorders in children and adolescents 2016 2nd Symposium on psychological disorders in children and adolescents 2016 2nd Symposium on psychological disorders in children and adolescents 2016 Faculty of Nursing and Midwifery – University of Isfahan – 2 Aug 2016 - Ass...
  • GPU vs CPU Featured CUDA Optimizing raytracing algorithm using CUDA Abstract Now, there are many codes to generate images using raytracing algorithm, which can run on CPU or GPU in single or multi-thread methods. In t...
  • MyCity-Featured My City This game is a city simulation in 3d view. Gamer must progress the city and create building for people. This game is simular the Simcity.
Popular posts
Interested
About me

My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
Click here to CV Resume page

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

Download Nokte as Free


Coming Soon....

Greatest hits

The fear of death is the most unjustified of all fears, for there’s no risk of accident for someone who’s dead.

Albert Einstein

You are what you believe yourself to be.

Paulo Coelho

It’s the possibility of having a dream come true that makes life interesting.

Paulo Coelho

Imagination is more important than knowledge.

Albert Einstein

Waiting hurts. Forgetting hurts. But not knowing which decision to take can sometimes be the most painful.

Paulo Coelho

One day you will wake up and there won’t be any more time to do the things you’ve always wanted. Do it now.

Paulo Coelho

Gravitation is not responsible for people falling in love.

Albert Einstein

Anyone who has never made a mistake has never tried anything new.

Albert Einstein


Site by images
Recent News Posts