NVIDIA GPU Computing
CPU + GPU is a powerful combination because CPUs consist of a few cores optimized for serial processing, while GPUs consist of thousands of smaller, more efficient cores designed for parallel performance. Serial portions of the code run on the CPU while parallel portions run on the GPU.
Most customers can immediately enjoy the power of GPU computing by using any of the GPU-accelerated applications listed in our catalog, which highlights over one hundred, industry-leading applications. For developers, GPU computing offers a vast ecosystem of tools and libraries from major software vendors.
Tesla GPUs are designed from the ground-up to accelerate scientific and technical computing workloads. Based on innovative features in the latest Tesla GPUs offer 3x more performance compared to the previous architecture, more than one teraflops of double-precision floating point while dramatically advancing programmability and efficiency. Kepler is the world’s fastest and most efficient high performance computing (HPC) architecture.
The CUDA Parallel Computing Platform
The CUDA® parallel computing platform provides a few simple C and C++ extensions that enable expressing fine-grained and coarse-grained data and task parallelism. The programmer can choose to express the parallelism in high-level languages such as C, C++, Fortran or open standards as OpenACC directives. The CUDA parallel computing platform is now widely deployed with 1000s of GPU-accelerated applications and 1000s of published research papers.
Kepler - The World's Fastest, Most Efficient HPC Architecture
Get 3x the performance with the NVIDIA® Kepler, the world’s fastest and most efficient high performance computing (HPC) architecture. With innovative computing technology and features, it is applicable to a broader range of scientific computing applications and makes hybrid computing more accessible for application developers and researchers.
Kepler's breakthrough performance is made possible by:
- SMX:
Get 3x the performance with the NVIDIA® Kepler, the world’s fastest and most efficient high performance computing (HPC) architecture. With innovative computing technology and features, it is applicable to a broader range of scientific computing applications and makes hybrid computing more accessible for application developers and researchers.
- Dynamic Parallelism:
Simplifies GPU programming by allowing programmers to easily accelerate all parallel nested loops – resulting in a GPU dynamically spawning new threads on its own without going back to the CPU.
- Hyper-Q:
Slashes CPU idle time by allowing multiple CPU cores to simultaneously utilize a single Kepler GPU, dramatically advancing programmability and efficiency.
