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Accelerating Scientific Computing Models Using Gpu Processing, Raymond F. Flagg Iii
Accelerating Scientific Computing Models Using Gpu Processing, Raymond F. Flagg Iii
Electronic Theses and Dissertations
GPGPUs offer significant computational power for programmers to leverage. This computational power is especially useful when utilized for accelerating scientific models. This thesis analyzes the utilization of GPGPU programming to accelerate scientific computing models.
First the construction of hardware for visualization and computation of scientific models is discussed. Several factors in the construction of the machines focus on the performance impacts related to scientific modeling.
Image processing is an embarrassingly parallel problem well suited for GPGPU acceleration. An image processing library was developed to show the processes of recognizing embarrassingly parallel problems and serves as an excellent example of converting …
Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons
Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons
Electronic Theses and Dissertations
Abstract
Information Technology, as an industry, is growing very quickly to keep pace with increased data storage and computing needs. Data growth, if not planned or managed correctly, can have larger efficiency implications on your data center as a whole. The long term reduction in efficiency will increase costs over time and increase operational overhead. Similarly, increases in processor efficiency have led to increased system density in data centers. This can increase cost and operational overhead in your data center infrastructure.
This paper proposes the idea that balanced data center workloads are more efficient in comparison to similar levels of …