'Massively parallel' presentation slideshows

IBM Netezza Sales Mastery Course for Business Partners

903 views • 70 slides

Efficient On-Demand Operations in Large-Scale Infrastructures

Efficient On-Demand Operations in Large-Scale Infrastructures. Final Defense Presentation by Steven Y. Ko. Thesis Focus. One class of operations that faces one common set of challenges cutting across four diverse and popular types of distributed infrastructures.

846 views • 70 slides

High Performance Molecular Visualization and Analysis with GPU Computing

High Performance Molecular Visualization and Analysis with GPU Computing. John Stone Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign http://www.ks.uiuc.edu/Research/gpu/

644 views • 46 slides

Priority Project Performance On Massively Parallel Architectures (POMPA) Nice to meet you!

Priority Project Performance On Massively Parallel Architectures (POMPA) Nice to meet you!. COSMO GM10, Moscow. Overview. Motivation COSMO code (as seen by computer engineer) Important Bottlenecks Memory bandwidth Scaling I/O POMPA overview. Motivation.

556 views • 38 slides

Genome-Wide DNA Methylation Assays

Genome-Wide DNA Methylation Assays. Nadia Khan, Rick Smith, and Anna Kuperman Epigenetics 2012. Introduction. Most Genome Wide Approaches were adapted from technologies originally developed for detecting methylation at the level of a single gene Advantages of a Genome Wide Approach

859 views • 35 slides

Microarray Design and Analysis

Microarray Design and Analysis. Jeremy D. Glasner. Genetics 875 November 20, 2007. What is a Microarray?. A collection of DNA sequences arrayed on a solid substrate usually with thousands of individual DNA spots. Gene expression analysis. Massively parallel biochemistry aimed

491 views • 33 slides

Faster, Cheaper, and Better Science: Molecular Modeling on GPUs

Faster, Cheaper, and Better Science: Molecular Modeling on GPUs. John Stone Theoretical and Computational Biophysics Group Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign http://www.ks.uiuc.edu/Research/gpu/

516 views • 31 slides

HP Enterprise Data Warehouse Appliance

HP Enterprise Data Warehouse Appliance. Optimized for Microsoft SQL Server 2008 R2 Parallel Data Warehouse (PDW). Enterprise data warehouse challenges. Rapid growth of data, both structured and unstructured

554 views • 24 slides

READINGS IN DEEP LEARNING

READINGS IN DEEP LEARNING. 4 Sep 2013. ADMINSTRIVIA. New course numbers (11-785/786) are assigned Should be up on the hub shortly Lab assignment 1 up Due date: 2 weeks from today Google group: is everyone on? Website issues.. Wordpress not yet an option (CMU CS setup) Piazza?.

364 views • 24 slides

Compsci 220/ ECE 252 Computer Architecture

Compsci 220/ ECE 252 Computer Architecture. Data Parallel: Vectors, SIMD, GPGPU.

492 views • 24 slides

Robert Farber and Harold Trease Pacific Northwest National Laboratory

Massively Parallel Near-Linear Scalability Algorithms with Application to Unstructured Video Analysis. Robert Farber and Harold Trease Pacific Northwest National Laboratory Acknowledge: Adam Wynne (PNNL) , Lynn Trease (PNNL), Tim Carlson (PNNL), Ryan Mooney (now at google.com).

377 views • 24 slides

Bringing Up Anton: Taking Co-Design into Production

Bringing Up Anton: Taking Co-Design into Production. Joseph A. Bank September 24, 2010 D E Shaw Research. Talk Outline. Brief history of Anton Bringup challenges of Anton The bringup lessons. A Brief History of Anton.

446 views • 23 slides

The chordoma genome Peter Campbell, Wellcome Trust Sanger Institute

The chordoma genome Peter Campbell, Wellcome Trust Sanger Institute. Chordoma. 1% of primary malignant bone tumours. 0.5-1/1000,000/year. 0 - 90 yrs : 55 , any age, Male to female ratio 2:1 . 32%. 33%. 29%. 37% metastasize 5% dedifferentiation Overall median survival ~7 years.

507 views • 22 slides

Genetic Algorithms in Artificial Neural Networks

Genetic Algorithms in Artificial Neural Networks. Bukarica Leto bleto@rcub.bg.ac.rs. Preface.

408 views • 19 slides

Reconfigurable DSP Project

Reconfigurable DSP Project. The ChooChoo: Final Design Review System Integration Hardware School of Electrical and Computer Engineering Georgia Institute of Technology. MPEG II Decoder. Team Members. Theodore Harvey Jacques Fournier Jascha Freess Jeff Hildreth Wenzhong Gao

329 views • 19 slides

Diagnostic Capabilities Beyond the Tumor Cell Genome

Diagnostic Capabilities Beyond the Tumor Cell Genome. Gregory J. Tsongalis, PhD, HCLD Professor of Pathology Director, Molecular Pathology Geisel School of Medicine at Dartmouth Dartmouth Hitchcock Medical Center Norris Cotton Cancer Center Lebanon, NH

359 views • 18 slides

ERA: Architectures for Inference

303 views • 17 slides

Technical Writing

Technical Writing. Publish, Why?. Communicate new knowledge Receive recognition Get feedback. Publish, Where?. Conferences - Some are more prestigious than conferences Quick feedback More relevant material Posters More exposure Less Prestigious Journals Longer review cycle

386 views • 12 slides

2. Multiprocessors Main Structures

Shared-Memory (Global-Memory) Multiprocessor : ? All processors can access all memory locations. ? All the necessary variables are shared by all processors . They may read or write any shared variable. Distributed-Memory Multiprocessor ( Multicomputer ) :

241 views • 7 slides

PDT Introduction Solves the time-dependent linear Boltzmann and thermal radiation equations

Cell. PDT Introduction Solves the time-dependent linear Boltzmann and thermal radiation equations 3D (XYZ) or 2D (XY) Multigroup in energy Discrete ordinates ( quadrature set can vary by energy group) Finite-volume and finite-element methods on arbitrary polyhedral/polygonal cells

136 views • 1 slides