The Graphic Processing Unit or the GPU is circuit that has been specially designed in order to manipulate and alter the memory rapidly in a particular way that will have the building of images accelerated and the output is intended to be displayed within a buffer frame. The NVIDIA Tesla is a GPU which has been designed upwards from the ground with the motive of having high performance computing, this in return will deliver the application performances for ten times more than the usual. This particular GPU is an ideal pick for holding researches in the field of climate modeling, seismic processing, CAE, weather, data analysis, biochemistry simulations, CFD and computational finance.
The places where the NVIDIA Tesla comes to use are game consoles, mobile phones, workstations, embedded systems and in personal computers. This GPU and many other modern GPUs are extremely good at influencing the computer graphics to function more efficiently. The GPU has a structure that is made highly parallel and hence the functioning becomes much more effective than the CPUs which are used for general purposes like in the case of algorithms, the large block of data is processed in a parallel pattern. This GPU has simplified the working conditions for the users.
The NVIDIA Tesla is the company’s first GPU that has been created to dedicate towards general purposes. This device gets its name form the pioneering electrical engineer whose success has introduced this device to us i.e. Nikola Tesla. The key functions that the Tesla product is expected to perform is to assist in large scale calculations especially the ones involved with the floating point calculations, assisting in the simulations and generating images of high quality for applications used in the scientific as well as professional fields. The device also utilizes the CUDA or OpenCL. As for the records NVIDIA Tesla at present has secured the second position among the fastest supercomputers in the world.
The most significant features of the NVIDIA Tesla which stand out from all the other ordinary similar devices available in the market is that, the images for display that is generated by Tesla is of a much superior quality then the others. The GPU over the years has evolved into a device in order to have teraflops of the performances of the floating point. The NVIDIA Tesla has accelerated the computing world by introducing yet another parallel device required for massive architectural purposes and is known as ‘CUDA’. This processor comprises of hundreds of cores that function as team together and squeezes through the data set and into the application. This device was introduced in the year 2006-2007.
The CUDA itself is the latest NVIDIA Tesla of the 20 series and is based on the ‘Fermi’ architecture. This device is strictly meant for scientific application as it includes some primary functions like L1and L2 caches, 500+ gigaflops of IEEE standard that has a double precision floating point hardware for support, ECC memory that provides protection from all kind of errors, etc.