PPT-Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access

Author : mitsue-stanley | Published Date : 2018-09-21

Bin Ren Advisor Dr Gagan Agrawal 462014 1 Streaming SIMD Extension Motivation 462014 2 Various emerging parallel architectures Intel SSE 1999 Intel SSE3 2004

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Supporting Applications Involving Dynamic Data Structures and Irregular Memory Access: Transcript


Bin Ren Advisor Dr Gagan Agrawal 462014 1 Streaming SIMD Extension Motivation 462014 2 Various emerging parallel architectures Intel SSE 1999 Intel SSE3 2004. Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. By . Dan. . Jones. OCR Specification Points. Topics. Implementation . of data structures, including stacks, queues and . trees.. Searching. , merging and . sorting.. Candidates should be able to: . explain . Memory Management. Memory management. Arrays. Dynamic memory. Dynamic arrays and pointers. Building a vector class. Memory Management. Memory Requirements. code storage. data storage. Memory Management. Anshuman Gupta. September 18, 2009. 1. Multi-core Processors are . abundant. Multi-cores increase the compute resources on the chip without increasing hardware complexity. Keeps power consumption within the budgets.. Fall 07/08 – Lecture Notes # 5b. Outline. Dynamic Memory Allocation. malloc. ( ), free( ) . and . calloc. ( ) . functions. Dynamically Allocated Arrays. DYNAMIC MEMORY . ALLOCATION. DYNAMIC . MEMORY . H&K Chapter 14. Instructor – . Gokcen. . Cilingir. Cpt. S 121 (July 26, 2011). Washington State University. Dynamic Data Structures (1). Structures that expand and contract as a program executes. EMSOFT 2015. Farley Lai. , Daniel Schmidt, . Octav. . Chipara. Department of Computer Science. A class of applications that process continuous input data streams and may produce continuous output streams. Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. CSE 373 SP 18 - Kasey Champion. 1. Warm Up. public int sum1(int n, int m, int[][] table) {. int output = 0;. for (int . i. = 0; . i. < n; . i. ) {. for (int j = 0; j < m; . j . . More I/O: DMA. Vladimir Stojanovic & Nicholas Weaver. http://. inst.eecs.berkeley.edu. /~cs61c/. 1. Review: I/O. “Memory mapped I/O”: Device control/data registers mapped to CPU address space. 1. Xin Huo. Department of Computer Science and Engineering. The Ohio State University. Advisor: Prof. Gagan Agrawal. Motivation - Parallel Architectures. 2. Programming Model. CUDA/OpenCL. All x86 based programming models. †. (Co-advisor) and William . Gropp. *. (Advisor). *. University of Illinois at Urbana-Champaign, Champaign, IL, USA {xinzhao3, . wgropp. }@. illinois.edu. †. Argonne National Laboratory, Argonne, IL, USA . Javier Lira. . ψ. Carlos Molina. . ф. Antonio . González. . ψ,λ. . λ. Intel Barcelona Research Center. Intel Labs - UPC. Barcelona, Spain. antonio.gonzalez@intel.com. ф. . Dept. Enginyeria Informàtica. Prof. Onur Mutlu. Carnegie Mellon University. Emerging Memory Technologies Lectures. These slides are . from the . Scalable . Memory Systems. course . taught at . ACACES . 2013 (July 15-19, 2013). Course Website:.

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