Search Results for 'Gpu-Implementation'

Gpu-Implementation published presentations and documents on DocSlides.

Employing compression solutions under

Employing compression solutions under

by tawny-fly

openacc. Ebad. . Salehi. , Ahmad . Lashgar. and...

Advanced Computer Architecture

Advanced Computer Architecture

by sherrill-nordquist

Data-Level Parallel Architectures. Course 5MD00. ...

Unleashing the Latest Innovations in Modern Graphics Hardwa

Unleashing the Latest Innovations in Modern Graphics Hardwa

by stefany-barnette

Cale Hendrickson. Program Manager II. Microsoft C...

Buying into “Summit” under the “Condo” model

Buying into “Summit” under the “Condo” model

by giovanna-bartolotta

Pat Burns, VP for IT. Rick Casey, HPC Manager. H....

Scope and definition Response

Scope and definition Response

by pasty-toler

Product Scope and Category Definitions. CEC reque...

New Track Seeding Techniques

New Track Seeding Techniques

by liane-varnes

at the CMS experiment. Felice Pantaleo. CERN. fel...

Parallel Tessellation using compute shaders

Parallel Tessellation using compute shaders

by test

Team Members: . . David Sierra . . Erwin . Ho...

Status of the APEnet+ project

Status of the APEnet+ project

by karlyn-bohler

davide.rossetti@roma1.infn.it. Lattice 2011. Squa...

by calandra-battersby

Adams, . University . of . Hawaii. Thin-client ba...

Scalable SIMD-Efficient Graph Processing on GPUs

Scalable SIMD-Efficient Graph Processing on GPUs

by liane-varnes

Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N....

A Survey of the Current State of the Art in SIMD:

A Survey of the Current State of the Art in SIMD:

by pamella-moone

Or, How much wood could a woodchuck chuck if a wo...

STREAMIT: Dynamic Visualization and Interactive Explorati

STREAMIT: Dynamic Visualization and Interactive Explorati

by cheryl-pisano

Jamal Alsakran. Kent State University, Ohio. Yang...

by alida-meadow

. Efficient Intra-SM Slicing through Dynamic Res...

by pasty-toler

for harnessing high performance computing to rec...

VOCL-FT: Introducing Techniques for Efficient Soft Error Co

VOCL-FT: Introducing Techniques for Efficient Soft Error Co

by cheryl-pisano

Antonio J. Peña, . Wesley Bland. , . Pavan. . B...

by mitsue-stanley

and Debugging. Shehzan. ArrayFire. Summary. Array...

Ocelot: supported devices

Ocelot: supported devices

by jane-oiler

Overview. Ocelot PTX . Emulator. Multicore-Backen...

APOGEE: Adaptive Prefetching on GPU for Energy Efficiency

APOGEE: Adaptive Prefetching on GPU for Energy Efficiency

by phoebe-click

Ankit Sethia. 1. , Ganesh Dasika. 2. , . Mehrzad....

Parallel computing with MATLAB

Parallel computing with MATLAB

by pamella-moone

Going Beyond Serial MATLAB Applications. MATLAB ....

Graphic Architecture introduction and analysis

Graphic Architecture introduction and analysis

by sherrill-nordquist

劉哲宇. ,. Liou. . Jhe. -Yu. Outline. GPU Arc...

Virtualization Station

Virtualization Station

by karlyn-bohler

1. Network. & . Virtual Switch. Agenda. Virt...

UserIDs(UID)withinaLinuxShell.SuchanapplistisnotconsideredsensitivebyG

UserIDs(UID)withinaLinuxShell.SuchanapplistisnotconsideredsensitivebyG

by pasty-toler

Figure1:MonitortoolprecisionTable1:Performanceover...

Fast Background Subtraction using CUDA

Fast Background Subtraction using CUDA

by myesha-ticknor

Janaka. CDA 6938. What is Background Subtraction?...

by tatyana-admore

FRAMEWORK. It . is a . Actionscript . 3 . Framewo...

graeme.burnett@hatstand.com

graeme.burnett@hatstand.com

by tatiana-dople

Accelerated Programmable Services FPGA and GPU aug...

Rahul Sharma (Stanford)

Rahul Sharma (Stanford)

by tatyana-admore

Michael Bauer (NVIDIA Research). Alex Aiken (Stan...

by pamella-moone

. and RDP Rocking RDS . in . Windows Server 2012...

Writing Efficient CUDA Programs

Writing Efficient CUDA Programs

by olivia-moreira

Martin Burtscher. Department of Computer Science....

DEEP LEARNING GPU TRAINING SYSTEM

DEEP LEARNING GPU TRAINING SYSTEM

by celsa-spraggs

DIGITS 1 Introduction to Deep Learning 2 What is ...

Optimize Algorithms for the

Optimize Algorithms for the

by lindy-dunigan

Spring 2010 Prof. Hyesoon Kim • GPU &#x...

Enabling Dynamic Memory Management Support for MTC on NVIDI

Enabling Dynamic Memory Management Support for MTC on NVIDI

by phoebe-click

Proposed Work. This . work aims . to enable effic...

Brewing Deep Networks

Brewing Deep Networks

by tawny-fly

. With Caffe. Xinlei Chen. Caffe. Tutorial. ! ....

Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators Hatem Ltaief Stanimire Tomov Rajib Nath and Jack Dongarra Department of Electrical Engineering and Computer Science Universit

Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators Hatem Ltaief Stanimire Tomov Rajib Nath and Jack Dongarra Department of Electrical Engineering and Computer Science Universit

by olivia-moreira

utkedu Abstract We present a Cholesky factorizatio...

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators LAPACK Working Note Hatem Ltaief Stanimire Tomov Rajib Nath Peng Du and Jack Dongarra Department of Electric

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators LAPACK Working Note Hatem Ltaief Stanimire Tomov Rajib Nath Peng Du and Jack Dongarra Department of Electric

by myesha-ticknor

utkedu Abstract We present a Cholesky factorizatio...

Figure An illustration of the architecture of our CNN

Figure An illustration of the architecture of our CNN

by kittie-lecroy

One GPU runs the layerparts at the top of the 642...

Energy-Efficient Data

Energy-Efficient Data

by debby-jeon

Compression for Modern Memory Systems. Gennady Pe...

1IntroductionPLUMED[1]isapluginforfreeenergycalculationinmolecularsyst

1IntroductionPLUMED[1]isapluginforfreeenergycalculationinmolecularsyst

by natalia-silvester

POLY,AMBERandLAMMPS),GPU-accelerated(ACEMD)andab-i...

Cracking AT&T U-verse Default WPA1/2 Passwords.

Cracking AT&T U-verse Default WPA1/2 Passwords.

by trish-goza

by Jason Wheeler. Awesome blog: . http://blog.ini...

INF5062 – GPU & CUDA

INF5062 – GPU & CUDA

by trish-goza

Håkon Kvale . Stensland. Simula Research Laborat...

by tatyana-admore

Graphics . and Performance. DirectX . 12. . Max ...