Vendor chip maker, Nvidia has released details of the Graphics Fermi 100 (GF100) graphics processor , which was delayed, which has 384-bit memory interface. GPU (graphics processing unit) of new generation will be equipped with 3 billion transistors and 512 CUDA core. Nvidia will also integrate parallel computing capabilities and performance for applications including physics calculations, counting high-level mathematics, linear algebra and the search algorithm.
Nvidia make Fermi architecture based on CUDA, which facilitates the Nvidia GPU executes programs written in C, C + +, Fortran, OpenGL, DirectCompute, and other languages. With this core CUDA 512, arranged in 16 SMS (stream processors) in each of 32 cores. The GPU Nvidia GF100 has 64-bit memory partitions, and support 6GB memory GDDR5 DRAM. GPU interface to be connected to the CPU via the PCI-Express, and each BC will have a processor 32 CUDA. Each processor is equipped CUDA ALU (arithmetic logic unit) integer and floating point unit (FPU).
Fermi also support the execution of different kernels in which the kernel can execute the same applications and at the same time. Kernels execute facilitate program that executes a small kernel to move the GPU. In Fermi GF100 chip architecture, the kernel is different in the same CUDA context may use the maximum utilization of GPU resources.
This time, Nvidia has not revealed other important information about the GF100, such as manufacturing processes, clock speed, performance, power usage, and price.
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