High-performance cloud computing (HPC2) is a type of cloud computing solution that incorporates standards, procedures and elements from cloud computing. HPC2 defines the techniques for achieving computing operations that match the speed of supercomputing from a cloud computing architecture.

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2. Leverage High Performance Cloud Computing for your business:
High-performance computing (HPC) is the use of parallel processing for running
advanced application programs efficiently, reliably and quickly. While this term
refers in general to the computing power required to perform high data
computation, you can occasionally use it as a synonym for supercomputing.
In the cloud environment, High-performance cloud computing (HPC2) is a type
of Cloud Computing solution that incorporates standards, procedures and
elements from cloud computing. HPC2 defines the techniques for achieving
computing operations that match the speed of supercomputing from a cloud
computing architecture.
HPC2 computing will provide analysts and scientist with access to a massive pool
of highly reliable, available and scalable computing infrastructure, which can be
provisioned on request and released when not required. The complete solution
may include storage, hardware and application software, all of which will be
delivered through cloud as an on demand basis.
The typical end users of the HPCC power are scientists, analysts, engineers and
educational institutions. As demand for processing power and speed grows, HPC
will likely interest businesses of all sizes, particularly for transaction processing
and data warehouses.
Benefits of High Performance Cloud Computing
The top players are Amazon Web Services, Azure and Google Compute Engine.
They offer it both as an IaaS or PaaS solution for businesses.
High performance cloud computing power is usually required for performing
computing with high data, usually seen in the insurance, medical and financial
institutions.
 On-demand, fast and inexpensive – The more power that you use to solve
a problem, the better and faster is the result. This actually works out for
the businesses who earlier used to take days or months to get the final
results.

3.  Optimize time and cost with Spot Instances which is available in the AWS.
Spot Instances is a pricing model that enables you to bid on unused
Amazon EC2 capacity at whatever price you choose. When your bid
exceeds the Spot price, you gain access to the available Spot Instances
and run as long as the bid exceeds the Spot Price. It is about 50% to 93%
lower than the on-demand price.
 Return of Investment is more for the company. It is dependent on how
quickly they can enter and exit the cloud with the results. And also on how
your application scales.
 Scalable, Flexible and dependable – Faster procurement and provisioning
of the computing resources.
 Large data sets which grow exponentially can be stored in the cloud. It is
easier to compute closer to the data, to reduce latency and increase
throughput.
Challenges faced by the HPCC
Broader use of HPC in the cloud also presents some key challenges. Primary
among them is the lack of high-speed interconnects and noise-free operating
systems to enable tightly coupled HPC applications to scale. New optimized
virtualization models (thin VMs, containers, and so on) are also reducing
virtualization costs. Moving towards the HPC2 presents other challenges:
 The costing/pricing model, which earlier operated from the traditional
supercomputing approach of grants and quotas toward the pay-as-you-
go model typical of cloud-based services.
 The job submission model, which is evolving from job queuing and
reservations toward VM deployment.
 The cost involved in bringing data in and out of the cloud
 SLA’s, security, performance, regulatory compliance, availability, business
continuity, and so on.
 Not all applications are suited for high power cloud computing. They may
be tied down hardware architectures or use cluster technologies that
require their own hardware or fixed configurations. Others are very
sensitive to latency or cannot scale out because of architectural design.
 Applications that require h/w dependencies and hardwired configuration
settings may require capital investments.

4. At the end of the day, you can have applications use the high performance cloud
computing power when their architectures are elastic. It is sensible to have a
pay-as-you-go payment option for applications which uses the VM environment
or can be deployed over a middleware platform.
The dynamic scalability and loose coupling between compute nodes and storage
(nodes act independently or are tolerant of high network latencies) is also
contributing to the growing popularity of HPC2.
Interested in to knowing more about how to leverage High Performance Cloud
Computing for your business? Get in touch with our Cloud experts by writing to
us at info@sysfore.com or calling us at +91-80-4110-5555.