NVIDIA Tesla P100 Supercharges HPC Applications Over 30x
The demand for super-computing cycles has become greater than ever. Scientists need this for their research and to meet this ever increasing demand Nvidia has launched the Nvidia Tesla P100. Compared to CPU based system this provides a great advantage when it comes to data processing and computing cycles.
Besides this we also need high performance computing for deep learning applications that are computation intensive. The Nvidia Tesla P100 GPU accelerator meets these requirements and delivers in performance like no other can. This is possible thanks to the new Nvidia Pascal GPU architecture.
The new Pascal architecture enable the creation of what we call super nodes. These provides the computing power of 32 CPU-based nodes. Also this has a 70% less operational cost.
According to Ian Buck the vice president of accelerated computing, NVIDIA:
“Accelerated computing is the only path forward to keep up with researchers’ insatiable demand for HPC and AI supercomputing. Deploying CPU-only systems to meet this demand would require large numbers of commodity compute nodes, leading to substantially increased costs without proportional performance gains. Dramatically scaling performance with fewer, more powerful Tesla P100-powered nodes puts more dollars into computing instead of vast infrastructure overhead.”
The Nvidia Tesla P100 GPU accelerator supports today’s GPU accelerated servers, it is available in PCIe form factor. It is optimized to run the most intensive and demanding AI and HPC programs. One Nvidia Tesla P100 GPU is more effective than 50 CPU only server nodes. This makes it a very powerful and efficient accelerator at the very least.
Thomas Schulthess, the professor of computational physics at ETH Zurich also the director of the Swiss National Supercomputing Center says:
“Tesla P100 accelerators deliver new levels of performance and efficiency to address some of the most important computational challenges of our time. The upgrade of 4,500 GPU-accelerated nodes on Piz Daint to Tesla P100 GPUs will more than double the system’s performance, enabling researchers to achieve breakthroughs in a range of fields, including cosmology, materials science, seismology and climatology.”
In short the Nvidia Tesla P100 GPU accelerator offers a huge performance boost for HPC programs that are computationally demanding. It is also low cost to run.