History

This Small Business Innovation Research Phase II project aims to enhance the efficiency of machines. Technology is advancing rapidly in society today. As technology rapidly advances computers are required to handle more complex tasks including multifaceted and compound calculations. Computationally intensive environments, included but not limited to universities and research labs, have been significantly effected by the evolution of technology and computing expectations. The calculations performed on machines within computationally intensive environments require enormous amounts of attention from the CPU. The CPU coordinates most of the operations of the computer while also being responsible for performing arithmetic and logical operations. The CPU is practically overloaded when handling operations and performing calculations. As a result of the CPU being extensively busy machines are being less efficient.

The need for faster computers has caused the computer manufacturing industry to shrink the size of the processor repeatedly. As a result of the shrinking of processors, we have virtually reached the stage where the processors can no longer be made any smaller. Manufacturers are now being forced to search for another solution to the problem of making processors faster.

Research proves that the GPU is overly qualified for carrying out the calculations and functions that are usually restricted to the CPU. Many of the characteristics of the GPU including high amounts of parallelism and high latency tolerance increase the power of the GPU.

By rendering the GPU for advanced calculations and processes the CPU will be free for other functions. Freeing the CPU while redirecting many of the advanced calculations and processes to the GPU will increase the overall efficiency of the machines.

Problem Statement

Solution