High-performance computing (HPC) uses the power of supercomputers or computer clusters to solve complex problems requiring massive computation. It enables users to process vast amounts of data faster than a standard computer, leading to quicker insights and allowing organizations to stay ahead of the competition. HPC solutions are often one million times more powerful than the fastest laptop and allow large analytical computations, such as millions of scenarios that use up to terabytes (TBs) of data, essential for various scientific and data-driven applications. Hence new technologies are needed to continue to increase the speed of these applications in the rapidly emerging HPC industry.

Researchers at Rowan are developing new software and hardware to accelerate computationally demanding applications' performance. The process considers the diversity of input and output data and mathematical functions. Additionally, it will comprise the development and implementation of microprocessors, auxiliary computing systems, and a heterogenous computing framework.

Competitive Advantages

• Hardware accelerates the speed and performance of high-demand scientific applications and intelligence instruments.
• Uses a heterogeneous computing framework and advanced mathematical functions.
• Potential for improving the speed of data processing in many industries.

Opportunity

• The market for computer hardware was $1.1 trillion in 2021 and is expected to exceed $1.5 trillion by 2026 at a CAGR of 13%.
• High-performance computing experience revenues of $39 billion in 2019 and is expected to exceed $56 billion by 2027.
• The need for high-efficiency computing, expansion of the IT industry, advances in virtualization, and rising preference for hybrid High-Performance Computing is driving growth.