Big Data Normalization for Massively Parallel Processing Databases Nikolay Golov1 and Lars R¨onnb¨ack2 1 Avito, Higher School of Economics, Moscow, Russia

Source URL: www.anchormodeling.com

C Executive Summary The Problem: Today’s DoD missions operate over a large, heterogeneous, distributed set of computing resources—from personal mobile devices to massively parallel multicomputers managing millions o

Source URL: web.cecs.pdx.edu

• Computing
• Security
• Routing
• Distributed computing
• Computer security
• EigenTrust
• Node
• Fabric of Security

Massively Parallel Cosmological Simulations with ChaNGa Pritish Jetley, Filippo Gioachin, Celso Mendes, Laxmikant V. Kal´e, Dep. of Computer Science, University of Illinois at Urbana-Champaign, USA {pjetley2, gioachin,

Source URL: charm.cs.illinois.edu

Large-Scale Eigenvalue Calculations for Stability Analysis of Steady Flows on  Massively Parallel Computers

Source URL: www.cs.sandia.gov

Real-Time Systems manuscript No. (will be inserted by the editor) Mixed-Criticality Scheduling on Cluster-Based Manycores with Shared Communication and Storage Resources Georgia Giannopoulou · Nikolay Stoimenov ·

Source URL: www.tik.ethz.ch

• Computing
• Parallel computing
• Mixed criticality
• Multi-core processor
• Manycore processor
• Thread
• Massively parallel processor array
• Computer cluster
• Scheduling
• Cache memory

Algorithmic Frontiers of Modern Massively Parallel Computation Introduction Ashish Goel, Sergei Vassilvitskii, Grigory Yaroslavtsev June 14, 2015

Source URL: grigory.us

A massively parallel adaptive fast-multipole method on heterogeneous architectures Ilya Lashuk∗ , Aparna Chandramowlishwaran∗ , Harper Langston∗ , Tuan-Anh Nguyen∗ , Rahul Sampath∗ , Aashay Shringarpure∗ , Ri

Source URL: math.stanford.edu

GPU-Based Topology Optimization on Unstructured Meshes Objective Investigates the feasibility of finite element methods and topology optimization for unstructured meshes in massively parallel computer architectures, more

Source URL: paulino.ce.gatech.edu

doi:A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures By Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul Sampath,

Source URL: math.stanford.edu

Frameworks for massively parallel computing: Massively inefficient? Bianca Schroeder* (joint with Nosayba El-Sayed) University of Toronto

Source URL: tce.technion.ac.il

• Computer memory
• Parallel computing
• Data quality
• Fault-tolerant computer systems
• Apache Hadoop
• Apache Software Foundation
• Dynamic random-access memory
• Data corruption
• Soft error
• Hard disk drive
• Computer cluster
• DIMM