High Performance Computing (HPC)
Brytech’s technical experts specialize in architecting, intergrating and customizing in High Performance Computers.
High Performance Computing
High-performance computing (HPC) is the use of parallel processing for running advanced application programs efficiently, reliably and quickly. The term applies especially to systems that function above a teraflop.
The term HPC is occasionally used as a synonym for supercomputing, although a supercomputer is a system that performs at or near the currently highest operational rate for computers. Some supercomputers work at more than a petaflop.
The most common users of HPC systems are scientific researchers, engineers and academic institutions. Some government agencies, particularly the military, also rely on HPC for complex applications. High-performance systems often use custom-made components in addition to so-called commodity components. As demand for processing power and speed grows, HPC will likely interest businesses of all sizes, particularly for transaction processing and data warehouses.
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Common Industries using Supercomputing:
Manufacturing and Engineering
What is a Supercomputer?
High Performance Computing (HPC) refers to high speed computation, which may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation and analysis such as high frequency trading, autonomous vehicles, genomics-based personalized medicine, computer-aided design, deep learning, and more. Specific examples include computational fluid dynamics, simulation, modeling, and seismic tomography.
No longer solely the realm of supercomputers, HPC is increasingly provided via cluster computing. By way of example, Hewlett Packard Enterprise (HPE) provides a computational clustering solution in conjunction with Intel that represents HPC Infrastructure as a Service (IaaS). This particular HPC IaaS offering environment provides customized tenant clusters tailored to client and application requirements. Key to this particular solution is the intelligent use of APIs, which enable a high degree of flexibility and what HPE refers to as Dynamic Fabric Configuration.
HPC capabilities are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc. However, the cloud-computing based “as a Service” model allows HPC capabilities to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.