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
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.
Plantillas para envío de artículos de las Jornadas de Investigación del Instituto de Investigaciones en Ingeniería de la Facultad de Ingeniería de la Universidad de Costa Rica: http://jornadas.fing.ucr.ac.cr/
This is a template to generate an archaeological catalogue from data in spreadsheet format using the `csvsimple` package.
You can learn more about the template in this blogpost: https://latex-ninja.com/2021/07/16/latex-for-archaeologists-an-archaeological-catalogue-from-a-spreadsheet/
And here's the Github: https://github.com/latex-ninja/Archaeological_Catalogue_from_CSV_Spreadsheet