If your company needs high-performance computing
for its big data, an in-house operation might work best. Here’s what you
need to know, including how high-performance computing and Hadoop
differ.
In the big data world, not every company needs high performance
computing (HPC), but nearly all who work with big data have adopted
Hadoop-style analytics computing.
The difference between HPC and Hadoop can be hard to distinguish because it is possible to run Hadoop analytics jobs on HPC gear, although not vice versa. Both HPC and Hadoop analytics use parallel processing of data, but in a Hadoop/analytics environment, data is stored on commodity hardware and distributed across multiple nodes of this hardware. In HPC, where the size of data files is much greater, data storage is centralized. HPC, because of the sheer volume of its files, also requires more expensive networking communications, such as Infiniband, because the size of the files it processes require high throughput and low latency.
Read the full article: https://www.techrepublic.com/article/4-steps-to-implementing-high-performance-computing-for-big-data-processing/
For technology powered visionaries with a passion for challenging the status quo, PSSC Labs is the answer for hand-crafted HPC and Big Data computing solutions that deliver relentless performance with the absolute lowest total cost of ownership.
We are true innovators offering high performance computing solutions to solve the world’s most demanding problems. For 25+ years, organizations of all sizes and from a variety of sectors rely on PSSC Labs’ computing systems. We are proud to support many departments within the United States government, Fortune 500 companies, as well as small and medium-sized businesses.
All products are designed and built at the company’s headquarters in Lake Forest, California.
