Speedup

Results: 244



#Item
41Design of Parallel and High Performance Computing HS 2013 Markus P¨ uschel, Torsten Hoefler Department of Computer Science ETH Zurich

Design of Parallel and High Performance Computing HS 2013 Markus P¨ uschel, Torsten Hoefler Department of Computer Science ETH Zurich

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Source URL: spcl.inf.ethz.ch

Language: English - Date: 2013-11-28 15:35:30
42Func%onal	
  Programming	
  for	
   Large	
  and	
  Dynamic	
  Data	
  with	
   Self-­‐Adjus%ng	
  Computa%on	
   Yan	
  Chen	
   MPI-­‐SWS	
  

Func%onal  Programming  for   Large  and  Dynamic  Data  with   Self-­‐Adjus%ng  Computa%on   Yan  Chen   MPI-­‐SWS  

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Source URL: www.mpi-sws.org

Language: English - Date: 2014-09-09 08:39:41
43Overview Design of Parallel and High-Performance Computing 

Overview Design of Parallel and High-Performance Computing 

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Source URL: spcl.inf.ethz.ch

Language: English - Date: 2014-11-16 12:57:30
44Accelerating Cost Aggregation for Real-Time Stereo Matching Jianbin Fang∗ , Ana Lucia Varbanescu ∗ , Jie Shen ∗ , Henk Sips ∗ , Gorkem Saygili † and Laurens van der Maaten  †

Accelerating Cost Aggregation for Real-Time Stereo Matching Jianbin Fang∗ , Ana Lucia Varbanescu ∗ , Jie Shen ∗ , Henk Sips ∗ , Gorkem Saygili † and Laurens van der Maaten †

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Source URL: lvdmaaten.github.io

Language: English - Date: 2016-07-16 15:30:43
45Parallel Coordinate Descent for L1 -Regularized Loss Minimization  Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin

Parallel Coordinate Descent for L1 -Regularized Loss Minimization Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin

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Source URL: select.cs.cmu.edu

Language: English - Date: 2011-11-03 13:21:57
46Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Rona

Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Rona

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Source URL: web.eecs.umich.edu

Language: English - Date: 2015-03-19 03:15:32
47Thread boosting and polynomial factorization in NTL Victor Shoup October 21, 2015 As of version 9.5.0, NTL provides a thread boosting feature. With this feature, certain code within NTL will use available threads to spee

Thread boosting and polynomial factorization in NTL Victor Shoup October 21, 2015 As of version 9.5.0, NTL provides a thread boosting feature. With this feature, certain code within NTL will use available threads to spee

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Source URL: www.shoup.net

Language: English - Date: 2015-10-21 12:08:00
48Parallelizing Audio Feature Extraction Using an Automatically-Partitioned Streaming Dataflow Language Eric Battenberg, Mark Murphy Introduction

Parallelizing Audio Feature Extraction Using an Automatically-Partitioned Streaming Dataflow Language Eric Battenberg, Mark Murphy Introduction

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Source URL: www.ericbattenberg.com

Language: English - Date: 2016-04-17 01:51:15
49Computing / Semantic Web / Data / Knowledge representation / World Wide Web Consortium / Resource Description Framework / Speedup

ARCHER Technical Assessment Form: Grant, RAP, Leadership Applications 0238125Note: this form is for standard grant applications (usually via J-eS), RAP and Leadership applications only. Technical Assessment forms for oth

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Source URL: www.archer.ac.uk

Language: English - Date: 2016-05-25 04:40:01
50Using Convolutional Networks (with Attention) for Orders-of-Magnitude Speedup of DTW-Based Sequence Retrieval Colin Raffel Spotify Machine Learning Seminar September 11, 2015

Using Convolutional Networks (with Attention) for Orders-of-Magnitude Speedup of DTW-Based Sequence Retrieval Colin Raffel Spotify Machine Learning Seminar September 11, 2015

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Source URL: colinraffel.com

Language: English - Date: 2015-11-09 14:28:44