HPC, in simple words, stands for computing systems whose computational powers have been boosted either by using multiple parallelly running processors or via the use of supercomputing technology. This results in a computing system capable of processing massive multidimensional data sets and solving complex problems at high speeds. Since the early days of computer technology development, the hinge of High-Power Computing was considered to be supercomputer. But in today’s world, majority of the businesses resort to high-speed computer servers hosted either on their premises or on cloud.

For decades, high-performance computing has been an essential component of academic research and industrial innovation. Engineers, data scientists, designers, and other researchers can use HPC to solve massive, complicated problems in a fraction of the time and expense of traditional computing. 

The key advantages of HPC are as follows: 

• Reduced Physical Testing: Simulations may be created using HPC, avoiding the requirement for actual experiments. 
• Speed: HPC can do huge computations in minutes rather than weeks or months owing to the latest CPUs, graphics processing units (GPUs), and low-latency networking fabrics such as remote direct memory access (RDMA), along with all-flash local and block storage devices. 
• Reduction in financial expenditure: Faster responses imply less wasted time and money. Furthermore, cloud-based HPC allows even small firms and startups to run HPC workloads, paying just for what they use and scaling up and down as needed. 

In decades past, HPC was favored by mathematicians and research scientists who required computing power far beyond the needs of anything commercially available in order to execute complex mathematical calculations. 

The need for HPC is much higher today. Aside from research science (which continues to need more processing capacity), financial organizations are performing risk modelling, governments are evaluating the impact of shifting demographics, and aerospace businesses are examining the flight capabilities of planes and spacecraft. 

Although the primary consumer of the HPC industry is still research science, it has witnessed a surge in usage through various other fields and is also considered to be a mandatory part of almost every sector of the industry. 

In today’s world where businesses need faster than ever outcomes to maintain their position in the market, HPC has become a mandatory need for almost every business. We at AudvikLabs, help to tailor and design the perfect HPC model for your business keeping your goals and expected outcomes in mind. Having previously worked on multiple upscaling as well as fresh HPC projects, we can assure you that your HPC initiation/enlargement plans are in completely safe hands. 

There are two sorts of hardware configurations that are often used: 

1. Shared Memory Machines 
2. Distributed Memory Clusters 

Random-access memory (RAM) may be accessed by all processor units in shared memory computers. Meanwhile, memory in distributed memory clusters is unavailable to separate processing units, or nodes. Because the processor units do not share the same memory space when employing a dispersed memory arrangement, a network interface is required to deliver messages between them (or to use alternative communication techniques). Modern HPC systems are frequently a combination of both principles, with some units sharing a common memory space and others not.