Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
Search
  Browse All Reviews > Computing Methodologies (I) > Computer Graphics (I.3) > Hardware Architecture (I.3.1) > Graphics Processors (I.3.1...)  
 
Options:
 
  1-10 of 24 Reviews about "Graphics Processors (I.3.1...)": Date Reviewed
  Gunrock: GPU graph analytics
Wang Y., Pan Y., Davidson A., Wu Y., Yang C., Wang L., Osama M., Yuan C., Liu W., Riffel A., Owens J. ACM Transactions on Parallel Computing 4(1): 1-49, 2017.  Type: Article

Graphs are fundamental data structures for modeling social interactions, computer networks, and physical simulations. Graph analytic libraries provide optimized primitives and application programming interfaces (APIs) for performing co...

Nov 30 2017
   GPU-accelerated Hungarian algorithms for the linear assignment problem
Date K., Nagi R. Parallel Computing 57(C): 52-72, 2016.  Type: Article

The paper is devoted to a fundamental problem in the area of combinatorial optimization--the assignment problem. The goal is to find a maximum (or minimum) weight matching in a weighted bipartite graph. The authors focus on th...

May 11 2017
  Massively parallel lattice-Boltzmann codes on large GPU clusters
Calore E., Gabbana A., Kraus J., Pellegrini E., Schifano S., Tripiccione R. Parallel Computing 581-24, 2016.  Type: Article

Calore et al. present a detailed overview of the development and optimization process of lattice-Boltzmann code for modern graphics processing units (GPUs). The paper begins with a brief introduction of the lattice-Boltzmann method (LB...

Jan 31 2017
  The landscape of GPGPU performance modeling tools
Madougou S., Varbanescu A., de Laat C., van Nieuwpoort R. Parallel Computing 56(C): 18-33, 2016.  Type: Article

Computer science has long been different from other scientific disciplines in that the reproducibility of experimental methods and results is not strongly emphasized in its scholarly publications. A consequence of this is that derivati...

Oct 5 2016
  Quantifying the performance and energy efficiency of advanced cache indexing for GPGPU computing
Kim K., Baek W. Microprocessors & Microsystems 43(C): 81-94, 2016.  Type: Article

Contention for shared cache resources by individual threads can be problematic for central processing unit (CPU) workloads, and is exacerbated on graphics processing unit (GPU) workloads due to very large thread counts and relatively s...

Sep 7 2016
  GPU computing and applications
Cai Y., See S., Springer Publishing Company, Incorporated, New York, NY, 2014. 280 pp.  Type: Book

The 280 pages of this book contain 17 papers drawn from the 2013 symposium on the same topic held at Nanyang Technological University, Singapore. The book is well edited and includes conclusions and future work discussions in most pape...

Jul 2 2015
  Numerical computations with GPUs
Kindratenko V., Springer Publishing Company, Incorporated, New York, NY, 2014. 405 pp.  Type: Book (978-3-319065-47-2)

Graphics processing units (GPUs) have recently become very important tools in high-performance computing (HPC). Due to their inherent massively parallel structure, they have been found to be able to provide the capability of accelerati...

Nov 3 2014
  CUDA-enabled sparse matrix-vector multiplication on GPUs using atomic operations
Dang H., Schmidt B. Parallel Computing 39(11): 737-750, 2013.  Type: Article

Sparse matrix-vector multiplication is a critical component of many applications, including physical modeling, linear solvers, and life science analyses. Improved performance of sparse matrix-vector multiplication allows applications u...

Aug 8 2014
  Accelerating MATLAB with GPU computing: a primer with examples
Suh J., Kim Y., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2014. 258 pp.  Type: Book (978-0-124080-80-5)

MATLAB is one of the top choices for rapid prototyping, where high performance is usually not a crucial issue. Nevertheless, it is surely very desirable to improve the efficiency of a MATLAB simulation engine by properly exploiting the...

Jul 2 2014
  Using GPU shaders for visualization, part 3
Bailey M. IEEE Computer Graphics and Applications 33(3): 5-11, 2013.  Type: Article

Graphics processing unit (GPU) shaders have been proposed for visualization as an extension of the Open Graphics Library (OpenGL). Using non-graphics data-parallel computing (which distributes data across multiple parallel processors) ...

Jan 31 2014
 
 
 
Display per page
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2024 ThinkLoud®
Terms of Use
| Privacy Policy