Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Engineering for a Medical Imaging Application on the Intel
  Xeon Phi Accelerator   We examine the Xeon Phi, which is based on Intel's Many Integrated Cores
architecture, for its suitability to run the FDK algorithm--the most commonly
used algorithm to perform the 3D image reconstruction in cone-beam computed
tomography. We study the challenges of efficiently parallelizing the
application and means to enable sensible data sharing between threads despite
the lack of a shared last level cache. Apart from parallelization, SIMD
vectorization is critical for good performance on the Xeon Phi; we perform
various micro-benchmarks to investigate the platform's new set of vector
instructions and put a special emphasis on the newly introduced vector gather
capability. We refine a previous performance model for the application and
adapt it for the Xeon Phi to validate the performance of our optimized
hand-written assembly implementation, as well as the performance of several
different auto-vectorization approaches.

14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas