What is High Performing Computing
At the advent of magnificent growth of industries and scientific research in all sectors ,essential data volume has been increased at random not only by number but by the data complexity also. It is true that the computational power of hardware platforms has seemingly increased but still there remains a deficiency and limit of speed of computation as demanded by today’s world. High Performance Computer (HPC) comes into play to meet the demand of high speed computational work.
We are well versed with old age Supercomputers that are gigantic in size and can perform multi users multi task at a time. HPC is beyond supercomputers. High speed Performance of computation is the main criteria of HPC while defining its efficiency. This article will explain specific areas where the need of HPC is critical for the business and scientific world. Article will also touch base on Quantum Computing which will supersede current days classical HPC.
What is the scenario of HPC application today
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of moving resource-intensive applications from on-premise environments to public cloud platforms. Industry trends show hybrid environments are the natural path to get the best of the on-premise and cloud resources steady workloads can run on on-premise resources and peak demand can leverage remote resources in a pay-as-you-go manner. Nevertheless, there are plenty of questions to be answered in HPC cloud, which range from how to extract the best performance of an unknown underlying platform to what services are essential to make its usage easier. Moreover, the discussion on the right pricing and contractual models to fit small and large users is relevant for the sustainability of HPC clouds.
High Performance Computing (HPC) is a technology that combines computer powers to create a superior performance that a mere desktop couldn’t handle. Many industries have been using HPC, especially those that deal with large amounts of data. Now that the demand for faster and better data analysis is increasing, businesses are starting to invest in high-tech advancements like HPC.
Fast-Processing of Data
Regardless of the type of data you’re collecting, HPC systems and applications can help your business process it faster. Imagine how much time it takes to use a single computer to deal with such information. If it takes a day of processing on a standard system, it will only take a couple of hours with HPC tech
More Manageable Large Data
Big IT companies and large corporations are using HPC applications and systems because of the amount of data they have to deal with every day. High performance computing is designed for business owners who want their big data to be more manageable. A single desktop computer isn’t efficient at handling vast amounts of data. That’s not what it was designed for, so it just can’t hold and handle a large amount of information. But with HPC, you can control the process in a more efficient way
Data analysis is a very important trend in businesses. If you want to know your clients well their demographics, how frequently they buy certain products, what they usually do during the day
However, it’s unlikely you’ll be able to come up with accurate results if you attempt to do this manually. You need artificial intelligence through HPC to get the right outcome. Regardless of your business and what type of products or services you’re marketing, you’ll need HPC systems and applications to analyze the important aspects of your company, especially those that offer insights into your customers.
Simulation of Software
For engineering, construction, and architecture firms, HPC can provide simulation software that will make your job easier. Even small firms consider having this technology because it’s so useful. If you are trying to avoid bidding new projects or contracts and are afraid that you won’t meet the deadline as you lack resources to simulate the projects
Easier Financial Analysis
Financial analysis is needed for all businesses. It helps owners, managers, and executives forecast the figures they’re likely to achieve in the following fiscal year. With HPC, financial analysis is streamlined. You can even provide your clients with investment strategies with data from the current market.
HPC by comparison, is typically thought of as using efficient cost-effective computing capability to fix a few somewhat massive troubles or many tiny issues. High performance computing is essential for supporting all elements of data-driven research. Besides power saving, it gives high performance computing. For the past twenty decades, higher performance computing has benefited from a substantial decline in the clock cycle of the simple processor. It refers to the use of algorithms, networks, and environments for computers ranging from small clusters to super computers in order to make the system usable. It’s really only people who want high performance computing from gaming or video editing that actually require something faster.
HPC technology is being rapidly adopted by the academic institutions and respective industries to develop dependable and robust products which would enable to keep up a competitive edge in the company. Hadoop leveraging GPU technologies including CUDA and OpenCL can boost significant data performance by a considerable aspect. Grid computing was applied to a range of large-scale embarrassingly parallel issues that require supercomputing performance scales. Cluster computing involves utilizing the bodily resources of multiple computers in order to do a computationally intensive undertaking. Apart from that, many computers were designed dependent on this processor. You might also attempt purchasing a refurbished HP computer. If you are searching for a high-performance laptop with the ideal display, this is just about the machine for you.
For any OS to be successful, applications want to be made available. For example, your application might take a high-speed interconnect for message passing that you wouldn’t like exposed to your company network. Since the applications may be running on multiple nodes simultaneously they need to be available even if an individual node experiences shutdown. As one would anticipate, in regards to very large scale applications with a concentration on delivering high-performance, the essence of the application may lead us to distinct designs with diverse strategies in mind when compared with an intra-enterprise circumstance.
The attempts of moving applications with heavy CPU and memory requirements to the cloud started by verifying the cost-benefit of running those applications in the cloud against running on already owned on-premise clusters. Various researchers used well-known HPC benchmarks and a few applications also common in the area. The goal was to understand not only performance, but also monetary costs and how sustainable it would be to decommission their own clusters and move everything to the cloud. The main conclusion was that applications that were compute-intensive and with high inter-processor communication could not scale well in the cloud, especially due to the lack of low latency networks such as InfiniBand. However, a strong support seemed to be present when talking about embarrassingly parallel applications, which showed good performance with current cloud resources. There was also a visible concern about the difference of performance for multiple executions using the same group of allocated resources, which comes due to the resource sharing aspect of cloud computing.
Where HPC is heading to
Despite HPC by the name it still lags behind the desired speed in certain critical applications especially in research arraes of material science & chemical industries, drug development & life science, crypto finance, space navigational work, weather predication etc. Evolution of Quantum Computing backed by artificial intelligence will be able to do the task at much higher speed leaving behind the classical HPC. HPC takes years to process a task Quantum Computing will do the same in a split second.
Just to cite an example we will consider Human body functions. Our body comprises more than 37 trillion cells and handles extremely complex data exchanges for its regular operation. Cerebrum part of the brain consists of 70 Billion neurons and Cerebellum part of the brain is populated with 30 Billion neurons. These huge numbers of neurons are constantly building ad hoc Synapses nodes for signal exchanges for normal body function. Think of computational speed it will demand for any analysis of neural signals. Same is true for DNA sequence and code analysis. These are the tasks where Quantum Computing will have an immense impact in HPC.
As the world will advance in need of newer applications for all industry sectors leveraging advanced technologies we will need more and more powerful speedy computers. Demand for HPC will never cease and more efficient HPC will be available at cheaper price.