PPoPP 2016
Sat 12 - Wed 16 March 2016 Barcelona, Spain
Mon 14 Mar 2016 10:25 - 10:50 at Mallorca+Menorca - Applications Chair(s): Albert Cohen

Computed Tomography (CT) Image Reconstruction is an important technique used in a wide range of applications, ranging from explosive detection, medical imaging to scientific imaging. Among available reconstruction methods, Model Based Iterative Reconstruction (MBIR) produces higher quality images and allows for the use of more general CT scanner geometries than is possible with more commonly used methods. The high computational cost of MBIR, however, often makes it impractical in applications for which it would otherwise be ideal. This paper describes a new MBIR implementation that significantly reduces the computational cost of MBIR while retaining its benefits. It describes a novel organization of the scanner data into super-voxels (SV) that, combined with a super-voxel buffer (SVB), dramatically increase locality and prefetching, enable parallelism across SVs and lead to an average speedup of 187 on 20 cores.

Mon 14 Mar
Times are displayed in time zone: Greenwich Mean Time : Belfast change

10:00 - 11:15: ApplicationsMain conference at Mallorca+Menorca
Chair(s): Albert CohenINRIA
10:00 - 10:25
Talk
Coarse Grain Parallelization of Deep Neural Networks
Main conference
Link to publication DOI
10:25 - 10:50
Talk
High Performance Model Based Image Reconstruction
Main conference
Xiao WangPurdue University, USA, Amit SabneSchool of Electrical and Computer Engineering, Purdue University, Sherman KisnerHigh Performance Imaging LLC, Anand RaghunathanSchool of Electrical and Computer Engineering, Purdue University, Charles BoumanSchool of Electrical and Computer Engineering, Purdue University, Samuel MidkiffSchool of Electrical and Computer Engineering, Purdue University
Link to publication DOI
10:50 - 11:15
Talk
Exploiting Accelerators for Efficient High Dimensional Similarity Search
Main conference
Link to publication DOI