Internet companies often cloud-based applications, so the architecture on the cloud (HPC in cloud) to serve their high-performance computing mostly based. So, what is the high-performance computing, how to improve their performance? HPC is a branch of computer science, is the development of high-performance computer technology research from many aspects of architecture, parallel architecture and software development. 
Five ways to improve its performance
Select the appropriate memory
There are three DIMM memory available: UDIMM memory, RDIMM memory and LRDIMM memory. When handling larger workload, unbuffered DIMM (UDIMM) fast, inexpensive and stable. Register formula DIMM (RDIMM) memory stability, good scalability, expensive, and less stress on the electrical memory controller. They are also used on many traditional server. Derating DIMM (LRDIMM) is a register memory Memory alternative, they can provide a high speed memory, reducing memory bus load of the server, and lower power consumption.
Upgrade Facilities
One big difference HPC system design with traditional data center infrastructure design is to choose ready-made tool or a custom system. Existing systems can only be extended within a small range, limiting future growth. Customization can keep an open design, allowing businesses to better expansion capabilities in the future. However, additional functions for customized system is not a small cost than buying ready-made system is much higher.
Make full use of HPC
HPC application design and traditional design different. Developers need the information flow is split into parallel groups.
Keeping system
When the cluster inconsistencies, HPC administrator may see a few scattered exceptions cargo changes that affect application performance. Considering the potential performance, IT departments need to implement strategies to confirm HPC systems are running what applications, and to find ways to configure the synchronization. These checks should be carried out every quarter, or less than twice a year.
Concerned about energy consumption
Ordinary server overhead for each cabinet 30kw, this figure is rising. Due to the high density, high efficiency data architecture infrastructure and cooling system becomes critical.