In a nutshell, NVIDIA Pascal architecture is a general purpose built architecture to aid in the computing of computers that implement Machine learning, computer vision and real world simulations via the GPU.
This relatively new architecture is maintained by NVIDIA and is supported natively on the new CUDA Toolkit 8 framework and selection of high performance and computing development tools.
Highlights of the NVIDIA Pascal Architecture
The NVIDIA Pascal architecture leverages the technological advancements right from the GPU Computer hardware is the physical tangible components that make up a computing system. This make-up includes parts such as the keyboard, mouse, monitor, CPU, RAM, Motherboard, hard drives among others.... More to the software that rides on top of it. These optimizations allows this architecture o squeeze out every A bit which is short for binary digit is the smallest unit of data in a computer or digital device. It can contain only one of two, either 0 or 1. Other representations such as true/false, yes/no, +/−, or on/off are possible with a single bit.... More of performance in an efficient manner.
One such system is the world’s first deep learning supercomputer. The NVIDIA DGX-1. This is a fully integrated Computer hardware is the physical tangible components that make up a computing system. This make-up includes parts such as the keyboard, mouse, monitor, CPU, RAM, Motherboard, hard drives among others.... More and software solution with minimal configuration and deployment requirements to get it off to a good start.
The ideal GPU architectures for leveraging the full ecosystem of the Pascal architecture are the NVIDIA Maxwell architecture GPUs and the NVIDIA Kepler architecture GPUs as they provide lots of application performance improvements through shared memory.
The NVIDIA Pascal architecture boast high energy efficiency with its 16 Nanometer FinFET fabrication technology containing 150 billion transistors making the Pascal GPU the world’s largest FinFET A chip in a computer is electronic circuits or an integrated circuit (also referred to as an IC or a microchip) embedded on a flat piece of semiconductor material that is normally silicon. Integrated circuits can be analog, digital, or mixed-signal. The minute size of computer chips brings the advantage of allowing high speed, low power dissipation, and reduced manufacturing... More.
Again the Pascal architecture boasts over 5 TeraFLOPS of double precision High performance Computing workloads with 12 times neural network training performance.
Again the technology uses the NVIDIA NVLink high speed bidirectional interconnect thereby scaling Application software or app is a program or group of programs designed to run on computing devices which perform a group of functions, tasks, or activities for the end-user. These programs usually consist of system software and application software. System software interacts with computers at a basic level performing low-level. Application software resides above system software directly interacting with the... More across multiple GPUs where applicable.
Processing and data is unified into a single package to deliver high compute efficiency with the Pascal architecture in addition to new artificial intelligence algorithms. This gives it a boost in deep learning and other computational workloads with more than 21 TeraFLOPS of peak performance.
The first Pascal architecture based Computer hardware is the physical tangible components that make up a computing system. This make-up includes parts such as the keyboard, mouse, monitor, CPU, RAM, Motherboard, hard drives among others.... More device is the NVIDIA Tesla P100 accelerator. It comes with an 18 billion transistor Pascal GPU. it is this accelerator that is used in the NVIDIA DGX-1 AI Supercomputer. The supercomputer contains 8 of these Pascal accelerators.