Gallery — Recent

A second project for Calculus 1 at Fitchburg State. Explore the proofs of some of the derivative rules and derive new rules from old.

LaTeX Template for my academic homework assignments. It has been created by using the fphw class. Github link: https://github.com/rafisics/My_HW-Assignment_Template

A template for submissions to the HDSR

The template for BTech Thesis submission for IIT Patna students.

本模板来源于https://github.com/TheNetAdmin/zjuthesis 具体使用说明参见 GitHub 主页，本Overleaf 模板不保证与 GitHub 模板同步更新，需要使用最新版本请参考 GitHub 主页。

The Loewner Equation and the derivative of its solution

The preparation of these files was supported by Schlumberger Palo Alto Research, AT&T Bell Laboratories, and Morgan Kaufmann Publishers. Shirley Jowell, of Morgan Kaufmann Publishers, and Peter F. Patel-Schneider, of AT&T Bell Laboratories collaborated on their preparation. These instructions can be modified and used in other conferences as long as credit to the authors and supporting agencies is retained, this notice is not changed, and further modification or reuse is not restricted. Neither Shirley Jowell nor Peter F. Patel-Schneider can be listed as contacts for providing assistance without their prior permission. To use for other conferences, change references to files and the conference appropriate and use other authors, contacts, publishers, and organizations. Also change the deadline and address for returning papers and the length and page charge instructions. Put where the files are available in the appropriate places.

Image reconstruction is observed to be one of the most common problem because of it's large data movement and non-trivial data dependencies. In the past, these problems were tackled by many high performance hardware such as FPGA's and GPGPU's. This also reflects the investemts to be made in these supercomputers for real time reconstruction of clinical computed tomography (CT) applications. Medical imaging systems are employing high performance computing (HPC) technology to meet their time constraints. This paper presents different optimizations to the volume reconstruction and implement it on a commodity hardware such as x86 based multicore system. This paper chooses to perform its implementaion on Intel Xeon X5365 multicore processor. We perform different levels of parallelization and analyse each of them and report their results with respect to serial implementation. The objective of this paper is to understand the constraints of volume reconstruction in multicore architecture and optimize them while preserving the quality of the reconstructed image.

Template for 16th International Congress on Logistics and SCM Systems