PPT-Efficient computation of sum-products on GPUs

M Siberstein A Schuster D Geiger A Patley J Owens Introduction MPF characterized by Complex data dependent High data reuse Low computetomemory access ration Technique to solve MPF . CS3231, 2010-2011. First Semester. Rahul. Jain. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. A. A. A. Why do I care about Theory ?. It provides solid foundations.. Michal . Kouck. ý. Charles University. Based on joint work with: . H. . Buhrman. , R. Cleve, . B. . Loff. , F. . Speelman. , …. Space hierarchy. space . S. space . S’. π. . by Archimedes. Bill McKeeman. Dartmouth College. 2012.02.15. Abstract. It is famously known that Archimedes approximated . π.  by computing the perimeters of . many-sided . regular polygons, one polygon inside the circle and one outside. This presentation recapitulates . Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. Marc S. Orr. †§. , Bradford M. Beckmann. §. , Steven K. Reinhardt. §. , David A. Wood. †§. ISCA, June 16, 2014. †. §. Executive Summary. SIMT languages (e.g. CUDA & . OpenCL. ) restrict GPU programmers to regular parallelism. Project Review 12 July 2013. Projects. Modelling. . dragonfly attention switching. Dendritic auditory processing. Processing images . with . spikes. Dendritic . computation with . memristors. . Computation in RATSLAM. using BU Shared Computing Cluster. Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. Ranjit . Kumaresan. (MIT). Based on joint works with . Iddo. . Bentov. (. Technion. ), Tal Moran (IDC), Guy . Zyskind. (MIT). x. f. . (. x,y. ). y. f. . (. x,y. ). Secure Computation. Most general problem in cryptography. Dileep Mardham. Introduction. Sparse Direct Solvers is a fundamental tool in scientific computing. Sparse factorization can be a challenge to accelerate using GPUs. GPUs(Graphics Processing Units) can be quite good for accelerating sparse direct solvers. Leiming Yu, Fanny Nina-Paravecino, David Kaeli, Qianqian Fang. 1. Outline. Monte Carlo . eXtreme. GPU Computing. MCX. in OpenCL. Conclusion. 2. Monte Carlo . eXtreme. Estimates the 3D light (. fluence. Charly Collin – . Sumanta. . Pattanaik. – Patrick . LiKamWa. Kadi Bouatouch. Painted materials. Painted materials. Painted materials. Painted materials. Our goal. Base layer. Binder thickness. Active contributions to computation. Dendrites as computational elements:. Examples. Dendritic. computation. r. V. m. = . I. m. . R. m. Current flows uniformly out through the cell: . I. m. = . I. Objective:. Express products as sums.. Express sums as products.. Product to Sum . Formula for cosine. Show that. . Example-1. Express the following product of cosines as a sum:. Example-2. Use the product-to-sum formula to write the product as a sum or difference. MRNet. and GPUs. Evan . Samanas. and Ben . Welton. Density-based clustering. Discovers the number of clusters. Finds oddly-shaped clusters. 2. Mr. Scan: Efficient Clustering with . MRNet. and GPUs.