|
Nvidia Tesla Personal Supercomputer
The Tesla Personal Supercomputer is a desktop computer (personal supercomputer) that is backed by Nvidia and built by various hardware vendors. It is meant to be a demonstration of the capabilities of Nvidia's Tesla GPGPU brand; it utilizes Nvidia's CUDA parallel computing architecture and is powered by up to 2688 parallel processing cores per GPGPU, which allow it to achieve speeds up to 250 times faster than standard PCs, according to Nvidia. See also * Nvidia Tesla * Fastra II The Fastra II is a desktop supercomputer designed for tomography. It was built in late 2009 by the ASTRA (All Scale Tomographic Reconstruction Antwerp) group of researchers of the IBBT (Interdisciplinary institute for BroadBand Technology) Visio ... References External links Tesla Personal Supercomputerwebsite DE Online Nvidia Tesla YouTube channel Nvidia products Computer workstations {{Compu-hardware-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Desktop Computer
A desktop computer (often abbreviated desktop) is a personal computer designed for regular use at a single location on or near a desk due to its size and power requirements. The most common configuration has a case that houses the power supply, motherboard (a printed circuit board with a microprocessor as the central processing unit, memory, bus, certain peripherals and other electronic components), disk storage (usually one or more hard disk drives, solid state drives, optical disc drives, and in early models a floppy disk drive); a keyboard and mouse for input; and a computer monitor, speakers, and, often, a printer for output. The case may be oriented horizontally or vertically and placed either underneath, beside, or on top of a desk. Personal computers with their cases oriented vertically are referred to as towers. As the majority of cases offered since the mid-1990s are in this form factor, the term ''desktop'' has been retronymically used to refer to modern cases offer ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Personal Supercomputer
A personal supercomputer (PSC) is a marketing ploy used by computer manufacturers for high-performance computer systems and was a popular term in the mid 2000s to early 2010s. There is no exact definition for what a personal supercomputer is. Many systems have had that label put on them like the Cray CX1 and the Apple Power Mac G4. Generally, though the label is used on computers that are High end Workstations and Servers and have multiple processors and is small enough to fit on a desk or to the side. Other terms like PSC are Desktop/deskside supercomputers and supercomputers in a box. Deskside clusters This is the closest thing to a formal definition of a personal supercomputer as most Computers marketed as personal supercomputers are Deskside clusters like the Cray CX1. A Deskside cluster is as defined binsideHPC.com“Deskside clusters come in a chassis that you can plug into the wall of your office, and they are designed to sit on the floor next to your desk. The chassis ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nvidia
Nvidia CorporationOfficially written as NVIDIA and stylized in its logo as VIDIA with the lowercase "n" the same height as the uppercase "VIDIA"; formerly stylized as VIDIA with a large italicized lowercase "n" on products from the mid 1990s to early-mid 2000s. Though unofficial, second letter capitalization of NVIDIA, i.e. nVidia, may be found within enthusiast communities and publications. ( ) is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It is a software and fabless company which designs graphics processing units (GPUs), application programming interface (APIs) for data science and high-performance computing as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia is a global leader in artificial intelligence hardware and software. Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nvidia Tesla
Nvidia Tesla was the name of Nvidia's line of products targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla. Its products began using GPUs from the G80 series, and have continued to accompany the release of new chips. They are programmable using the CUDA or OpenCL APIs. The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards. Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars. Its new GPUs are branded Nvidia Data Center GPUs, as in the Ampere A100 GPU. Overview Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. , Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China. Tesla cards h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GPGPU
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing. Essentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form. While GPUs operate at lower frequencies, they typically have many times the number of cores. Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CUDA
CUDA (or Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs (GPGPU). CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels. CUDA is designed to work with programming languages such as C, C++, and Fortran. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which required advanced skills in graphics programming. CUDA-powered GPUs also support programming frameworks such as OpenMP, OpenACC and OpenCL; and HIP by compiling such code to CUDA. CUDA was created by Nvidia. When it was first introduced, the name was an acronym for Compute Unified Device Architectur ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Parallel Computing
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling.S.V. Adve ''et al.'' (November 2008)"Parallel Computing Research at Illinois: The UPCRC Agenda" (PDF). Parallel@Illinois, University of Illinois at Urbana-Champaign. "The main techniques for these performance benefits—increased clock frequency and smarter but increasingly complex architectures—are now hitting the so-called power wall. The computer industry has accepted that future performance increases must largely come from increasing the number of processors (or cores) on a die, rather than m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fastra II
The Fastra II is a desktop supercomputer designed for tomography. It was built in late 2009 by the ASTRA (All Scale Tomographic Reconstruction Antwerp) group of researchers of the IBBT (Interdisciplinary institute for BroadBand Technology) VisionLab at the University of Antwerp and by Belgian computer shop Tones, in collaboration with Asus, a Taiwanese multinational computer product manufacturer, as the successor to the Fastra I (built in 2008). The Fastra II was determined to be over three times faster than the Fastra I, which in turn was slightly faster than a 512-core cluster. However, because of the number of GPUs in the computer, the system initially suffered from several issues, including the system refusing to reboot and overheating due to a lack of space between the video cards. Development The computer was built as a researching and demonstration project by the ASTRA group of researchers at the Vision Lab in the University of Antwerp in Belgium, one of the research ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nvidia Products
Nvidia CorporationOfficially written as NVIDIA and stylized in its logo as VIDIA with the lowercase "n" the same height as the uppercase "VIDIA"; formerly stylized as VIDIA with a large italicized lowercase "n" on products from the mid 1990s to early-mid 2000s. Though unofficial, second letter capitalization of NVIDIA, i.e. nVidia, may be found within enthusiast communities and publications. ( ) is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It is a software and fabless company which designs graphics processing units (GPUs), application programming interface (APIs) for data science and high-performance computing as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia is a global leader in artificial intelligence hardware and software. Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, medi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
.PNG "Click for more on -> CUDA")
.jpg "Click for more on -> Nvidia Products")