Why GPU Optimized Servers Are Suited for HPC

To augment the speed of high performance computing, graphics processing units (GPUs) are being put to use in more ways than just rendering images on a screen. These processors are capable of high-speed calculations and can enhance the speed of scientific and engineering computations immeasurably.

GPU Speed vs. CPU Speed

GPUs have now been successfully incorporated into the realm of HPC because, when compared with an ordinary CPU, a GPU can be almost 100 times faster. . However, this shift in processor type hasn’t been a great fit (to date) for some applications.

Even though GPUs are well suited for high performance computing, not all business applications can run on them. In order for these applications to run on a GPU, they have to be redesigned for the new architecture, and then recompiled. Also, GPUs have limited programming language capabilities, adding to the difficulties of porting the needed applications to the desired system. This is the reason the ordinary CPU is still very much in use today, although GPU improvements are in the pipeline.

GPU Design and Development Improvements Continue

Although there seems to be some functional hindrances in using GPUs rather than CPUs, there is still a very real need for the performance they bring to the table. In specialized HPC systems where ultra-fast speeds are of primary importance, the added configuration of applications can become a feasible extra step. However, Nvidia and AMD have already made it easier for developers to manage these problems through design improvements and new software development tools.

We expect to see wider adoption of GPUs over the next few years as the techology and ease of use continues to improve. Talk to one of our HPC experts about how GPUs can work for your application.