NVIDIA introduced its next generation CUDA GPU architecture, codenamed Fermi. An entirely new ground-up design, the Fermi architecture is the foundation for the world’s first computational graphics processing units (GPUs), delivering breakthroughs in both graphics and GPU computing.
"NVIDIA and the Fermi team have taken a giant step towards making GPUs attractive for a broader class of programs,” said Dave Patterson, director Parallel Computing Research Laboratory, U.C. Berkeley and co-author of Computer Architecture: A Quantitative Approach. “I believe history will record Fermi as a significant milestone."
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- As the foundation for NVIDIA’s family of next generation GPUs namely GeForce®,
Quadro® and Tesla® − “Fermi” features a host of new technologies that are
“must-have” features for the computing space, including:
- C++, complementing existing support for C, Fortran, Java, Python, OpenCL and DirectCompute.
- ECC, a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale
- 512 CUDA Cores™ featuring the new IEEE 754-2008 floating-point standard, surpassing even the most advanced CPUs
- 8x the peak double precision arithmetic performance over NVIDIA’s last generation GPU. Double precision is critical for high-performance computing (HPC) applications such as linear algebra, numerical simulation, and quantum chemistry
- NVIDIA Parallel DataCache™ - the world’s first true cache hierarchy in a GPU that speeds up algorithms such as physics solvers, raytracing, and sparse matrix multiplication where data addresses are not known beforehand
- NVIDIA GigaThread™ Engine with support for concurrent kernel execution, where different kernels of the same application context can execute on the GPU at the same time (eg: PhysX® fluid and rigid body solvers)
- Nexus – the world’s first fully integrated heterogeneous computing application development environment within Microsoft Visual Studio
More details on the NVIDIA Fermi site.