Enabling GPU Computing in the R Statistical Environment Josh Buckner1, Manhong Dai1, Brian Athey1,2, Stanley Watson1 and Fan Meng1,2 1Molecular & Behavioral Neuroscience Institute and Psychiatry Department 2National Cen

Source URL: www.open-bio.org

• Parallel computing
• Graphics hardware
• GPGPU
• Video cards
• General-purpose computing on graphics processing units
• CUDA
• Graphics processing unit
• Hierarchical clustering

30th IEEE International Parallel & Distributed Processing Symposium May 23-27, 2016 Ÿ Chicago Hyatt Regency Chicago, Illinois USA IEEE IPDPS 2016 ----------------------------论文征集 - 2015 年 10 月 9 日前提交

Source URL: ipdps.org

OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capability Nikhil Jain† , Eric Bohm† , Eric Mikida† , Subhasish Mandal§ , Minjung Kim§ , Prateek Jindal† , Qi Li? , Sohrab Ismail-Beigi§ , Glenn J.

Source URL: charm.cs.illinois.edu

• Digital signal processing
• Mathematical analysis
• Parallel computing
• Mathematics
• Fast Fourier transform
• OpenAtom
• Charm++
• Integral
• Coordinate system
• Computer programming

Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere Jacob Vanderplas1,2 Emad Soroush1 Simon Krughoff2

Source URL: scidb.cs.washington.edu

NVIDIA DGX-1 DEEP LEARNING SYSTEM The World’s First Deep Learning Supercomputer in a Box Data scientists and artificial intelligence (AI) researchers require

Source URL: images.nvidia.com

• Computing
• Computer architecture
• Concurrent computing
• GPGPU
• Parallel computing
• Video cards
• Graphics hardware
• Nvidia
• Nvidia DGX-1
• Pascal
• Graphics processing unit
• NVLink

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

Opportunities for Parallelism in Matrix Multiplication FLAME Working Note #71 Tyler M. Smith∗ Robert A. van de Geijn∗

Source URL: www.cs.utexas.edu

• Parallel computing
• Compiler optimizations
• Computer architecture
• CPU cache
• Central processing unit
• Computer memory
• Xeon
• Automatic parallelization
• Basic Linear Algebra Subprograms
• Nehalem
• Thread

Energy Proportionality and Workload Consolidation for Latency-critical Applications George Prekas1 , Mia Primorac1 , Adam Belay2 , Christos Kozyrakis2 , Edouard Bugnion1 1 EPFL Abstract

Source URL: www.scs.stanford.edu

• Parallel computing
• Computer performance
• Energy proportional computing
• Network performance
• Scheduling
• Throughput
• Speedup
• Latency
• Multi-core processor
• Hyper-threading
• Forwarding plane
• Packet processing

Efficient Iterative Processing in the SciDB Parallel Array Engine Emad Soroush1 , Magdalena Balazinska1 , Simon Krughoff2 , and Andrew Connolly2 1 2

Source URL: scidb.cs.washington.edu

Parallelism, Concurrency, and Asynchrony in Perl 6 Jonathan Worthington 今日は!

Source URL: www.jnthn.net

• Cross-platform software
• High-level programming languages
• Scripting languages
• Perl 6
• Parallel computing
• Concurrent computing
• Perl
• Asynchrony
• Parallelism
• Central processing unit
• Rakudo Perl 6
• Thread