Parakeet: A Just-In-Time Parallel Accelerator for Python Alex Rubinsteyn Eric Hielscher Nathaniel Weinman Dennis Shasha Computer Science Department, New York University, New York, NY, 10003 {alexr,hielscher,nsw233,shasha

Source URL: www.usenix.org

• GPGPU
• Parallel computing
• Graphics hardware
• Array programming languages
• Video cards
• CUDA
• OpenCL
• Graphics processing unit
• NumPy
• Computing
• Software
• Computer programming

Serious numbers MATLAB, produced by The MathWorks, has a twenty-five year pedigree in technical computing across multiple industries ranging from industrial automation to earth sciences. The

Source URL: www.automatedtrader.net

• Computing
• Numerical linear algebra
• GPGPU
• Nvidia
• MATLAB
• GNU Octave
• Jacket
• AccelerEyes
• Software
• Array programming languages
• Mathematical software

Spatial interpolation in massively parallel computing environments Katharina Henneböhl, Marius Appel, Edzer Pebesma Institute for Geoinformatics, University of Muenster Weseler Str. 253, 48151 Münster {katharina.henneb

Source URL: www.agile-online.org

• Computing
• Computer graphics
• Video cards
• Interpolation
• Geostatistics
• Kriging
• CUDA
• Graphics processing unit
• OpenCL
• GPGPU
• Graphics hardware
• Computer hardware

OpenVideo Decode (OVD) API 1 Overview This document specifies the OpenVideo Decode (OVD) API definitions. This API is designed to provide platform-independent video codec functions using hardware accelerators. OpenVideo

Source URL: developer.amd.com

• Software
• Application programming interfaces
• GPGPU
• C programming language
• Procedural programming languages
• Unified Video Decoder
• Graphics processing unit
• OpenCL
• VC-1
• Computing
• Video acceleration
• Computer programming

HSA FOUNDATON Purpose and Outlook Patrick Moorhead, President & Principal Analyst, Moor Insights & Strategy November, 2012 This paper was commissioned by AMD.

Source URL: amd-dev.wpengine.netdna-cdn.com

• Graphics hardware
• Electronics
• Computer architecture
• Video cards
• Parallel computing
• OpenCL
• CUDA
• Graphics processing unit
• Multi-core processor
• Computer hardware
• Computing
• GPGPU

Journal of Computational Physics[removed]–2244 Contents lists available at SciVerse ScienceDirect Journal of Computational Physics journal homepage: www.elsevier.com/locate/jcp

Source URL: www.cse-lab.ethz.ch

• Graphics hardware
• Video cards
• Parallel computing
• Electronics
• Nvidia
• OpenCL
• Graphics processing unit
• Kernel
• Navier–Stokes equations
• Computing
• Computer hardware
• GPGPU

Density-based Clustering using Graphics Processors Christian Böhm, Robert Noll University of Munich

Source URL: www.dbs.ifi.lmu.de

• Statistics
• Graphics hardware
• Video cards
• Parallel computing
• Nvidia
• CUDA
• DBSCAN
• Cluster analysis
• OPTICS algorithm
• Computing
• GPGPU
• Computer hardware

CONFERENCE PROGRAM Wednesday 4th March[removed]:30 Registration 9:30 Opening 10:00 Keynote 1

Source URL: www.pdp2015.org

• Electronics
• Graphics hardware
• GPGPU
• Emerging technologies
• Video cards
• Network On Chip
• Multi-core processor
• Distributed computing
• Data Intensive Computing
• Computing
• Concurrent computing
• Parallel computing

Data Mining Using Graphics Processing Units Christian B¨ ohm1 , Robert Noll1 , Claudia Plant2 , Bianca Wackersreuther1, and Andrew Zherdin2 1 University of Munich, Germany

Source URL: www.dbs.ifi.lmu.de

• Graphics hardware
• Concurrent computing
• Video cards
• Nvidia
• Parallel computing
• CUDA
• BrookGPU
• Graphics processing unit
• Thread
• Computer hardware
• Computing
• GPGPU

Introduction to Scientific Programming using GPGPU and CUDA[removed]Febbraio 2014 CINECA –ROMA, Sala Auditorium, Via dei Tizii 2 Roma Docente: Luca Ferraro

Source URL: www.hpc.cineca.it