Dynamic Instrumentation and Optimization for GPU Applications Naila Farooqui Christopher J. Rossbach

Source URL: sfma14.cs.washington.edu

• Graphics hardware
• Nvidia
• Software
• Video cards
• CUDA
• OpenCL
• Parallel Thread Execution
• Graphics processing unit
• Compiler optimization
• GPGPU
• Computing
• Computer hardware

Scheduling Dataflow Execution Across Multiple Accelerators Jon Currey, Adam Eversole, and Christopher J. Rossbach Microsoft Research ABSTRACT

Source URL: sfma14.cs.washington.edu

• Graphics hardware
• Video cards
• GPGPU
• Nvidia
• Parallel computing
• CUDA
• Graph partition
• OpenCL
• GPU cluster
• Computing
• Computer hardware
• Concurrent computing

PDF Document

Source URL: media.wiley.com

• Graphics hardware
• Computer architecture
• Nvidia
• Video cards
• CUDA
• Video game hardware
• Graphics processing unit
• Basic Linear Algebra Subprograms
• Parallel computing
• Computing
• GPGPU
• Computer hardware

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

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

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

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

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

Di Çareserkirina Pirsgirêkan de Cidiyet û pisporî Xizmetên Me Di çareserkirina pirsgirêkan de, bi zimanên cuda, ji peywirdarén me yên di bin berpirsyariyên pîşeyî de, şêwirmendiya bêpere û hêsan: -

Source URL: www.integration-sg.ch