![]() ![]() In the 1999-2000 timeframe, computer scientists, along with researchers in fields such as medical imaging and electromagnetics, started using GPUs to accelerate a range of scientific applications. Over the years, these graphics chips became increasingly programmable, which led NVIDIA to introduce the first GPU. ![]() Graphics chips started as fixed-function graphics pipelines. Fermi has key computing features such as 500+ gigaflops of IEEE standard double-precision floating-point hardware support, L1 and L2 caches, ECC memory error protection, local user-managed data caches in the form of shared memory dispersed throughout the GPU, coalesced memory accesses, and more. The latest Tesla 20-series GPUs are based on the latest implementation of the CUDA platform called the "Fermi architecture". Tesla GPUs are designed as computational accelerators or companion processors optimized for scientific and technical computing applications. There are a number of GPU-accelerated applications that provide an easy way to access high-performance computing (HPC).Īpplication developers harness the performance of the parallel GPU architecture using a parallel programming model invented by NVIDIA called "CUDA." All NVIDIA GPUs - GeForce®, Quadro®, and Tesla® - support the NVIDIA® CUDA® parallel-programming model. This massively parallel architecture is what gives the GPU its high compute performance. Together, they operate to crunch through the data in the application. ![]() This is known as "heterogeneous" or "hybrid" computing.Ī CPU consists of four to eight CPU cores, while the GPU consists of hundreds of smaller cores. From a user's perspective, the application runs faster because it's using the massively parallel processing power of the GPU to boost performance. The rest of the application still runs on the CPU. The GPU accelerates applications running on the CPU by offloading some of the compute-intensive and time consuming portions of the code. GPU computing is the use of a GPU (graphics processing unit) as a co-processor to accelerate CPUs for general-purpose scientific and engineering computing. ![]()
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