PPT-List Ranking on GPUs

Author : conchita-marotz | Published Date : 2016-07-18

Sathish Vadhiyar List Ranking on GPUs Linked list prefix computations computations of prefix sum on the elements contained in a linked list Irregular memory accesses

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List Ranking on GPUs: Transcript


Sathish Vadhiyar List Ranking on GPUs Linked list prefix computations computations of prefix sum on the elements contained in a linked list Irregular memory accesses successor of each node of a linked list can be contained anywhere. I was blindfolded. I was taken from my home. I was led to a dark room. Meet Olaf. A snowman who looks forward to summer. Specious reasoning, friend Olaf.  . The hot and the cold are both so intense. Alan . Gray. EPCC . The University of Edinburgh. Outline. Why do we want/need accelerators such as GPUs?. Architectural reasons for accelerator performance advantages . Latest accelerator Products. NVIDIA and AMD GPUs. Raju . Balakrishnan. . rajub@asu.edu. (PhD Dissertation Defense). Committee: Subbarao Kambhampati (chair). Yi Chen. . AnHai. Doan. . Huan. Liu.. Agenda. Part 1: Ranking the Deep Web. SourceRank: Ranking Sources.. William Kozma . Jr. ECE 443/543. History. Gale-Shapley 1962, “College Admissions and the Stability of Marriage”. Introduced both monogamous and polygamous versions. Polygamous version used for years. 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. Proposed Work. This . work aims . to enable efficient dynamic memory management on NVIDIA GPUs by utilizing a sub-allocator between CUDA and the programmer. This work enables Many-Task Computing applications, which need to dynamically allocate parameters for each task, to run efficiently on GPUs.. 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. Supercomputing. The Next wave of HPC. Presented by Shel Waggener. HP Materials from Marc Hamilton. June. , . 2011. © Copyright 2011 Hewlett-Packard Development Company, L.P.    . GPUs – changing the Economics of Supercomputing. Auto-Completion. Sandesh Sanjay Gade. Milad . Shokouhi. PRESENTATION. Query auto-completion (QAC). QAC is one of the most prominent features of modern search engines.. List of query candidates generated according to the . 1. AFOSR-BRI Workshop. July 23 2014. Amit . Amritkar & Danesh Tafti. Collaborators. Wu-chun . Feng. , . Paul Sathre. , Kaixi . Hou, . Sriram . Chivukula. , . Hao. . Wang, Tom . Scogland. ,. Eric . RANK ORDER LIST Class of 2019 Current student information – M4 students “What is a Rank Order List?” A Rank Order List A Rank Order List (ROL) is an ordered listing, created by a student, of programs where the student Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. GeForce 256 (1999) – first GPU. Raju . Balakrishnan. . rajub@asu.edu. (PhD Dissertation Defense). Committee: Subbarao Kambhampati (chair). Yi Chen. . AnHai. Doan. . Huan. Liu.. Agenda. Part 1: Ranking the Deep Web. SourceRank: Ranking Sources.. http://www.cse.iitk.ac.in/~mainakc/lockfree.html. Prabhakar. . Misra. and . Mainak. Chaudhuri. Indian Institute of Technology, Kanpur. Sketch. Talk in one slide. Result highlights. Related work. Lock-free data structures.

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