High-performance computing (HPC) tools are helping financial firms survive and thrive in this highly demanding and data-intensive industry. As financial models grow in complexity and greater amounts of data must be processed and analyzed on a daily basis, firms are increasingly turning to HPC solutions to exploit the latest technology performance improvements. Suresh Aswani, Senior Manager, Solutions Marketing, at Hewlett Packard Enterprise, shares how to overcome the learning curve of new processor architectures.
Today, high performance interconnects can be divided into three categories: Ethernet, InfiniBand, and vendor specific interconnects. Ethernet is established as the dominant low level interconnect standard for mainstream commercial computing requirements. InfiniBand originated in 1999 to specifically address workload requirements that were not adequately addressed by Ethernet, and vendor specific technologies frequently have a time to market (and therefore performance) advantage over standardized offerings.
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing.
The developments that have taken place in high performance computing (HPC) over the decades can be described quite simply: Without Fujitsu research, the development of the supercomputer would have been quite different.
This paper offers those considering HPC, both users and managers, guidance when considering the best way to deploy an HPC solution. Three important questions are suggested that help determine the most appropriate HPC design (scale-up or scale out) that meets your goal and accelerates your discoveries.
There are times when a convergence of technologies happens that can benefit a very large number of humans in order to improve their well-being. A number of technological innovations are coming together that can greatly enhance the recovery from life-threatening illnesses and prolong and improve the quality of life. With a combination of faster and more accurate genomics sequencing, faster computer systems and new algorithms, the movement of discovering what medicine will work best on individual patients has moved from research institutions to bedside doctors. Physicians and other healthcare providers now have better, faster, and more accurate tools and data to determine optimal treatment plans based on more patient data. This is especially true for pediatric cancer patients. These fast-moving technologies have become the center of a national effort to help millions of people overcome certain diseases.