Add to ORKGPresented at the Introduction to Parallel Programming & Cluster Computing in conjunction with the National Computational Science Institute, July 30, 2012.MPI Programming Model: Desert Islands AnalogyUniversity of Oklahoma University of Oklahoma Supercomputing Center for Education and Research (OSCER) National Computational Science Institute (NCSI)N
(eng) Today, clusters are often interconnected by long distance networks within grids to offer a hug...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...
: Machine learning using large data sets is a computationally intensive process. One technique that ...
Dr. Henry Neeman, University of Oklahoma Assistant Vice President, Information Technology - Rese...
Dr. Henry Neeman, Director OU Supercomputing Center for Education & Research University of Oklahom...
Dr. Henry Neeman, Director OU Supercomputing Center for Education & Research University of Oklahom...
AbstractParallel program design of Yellow River 2D water-sand model was realized based on MPI(Messag...
As supercomputers have approached exascale performance, several scalability issues have emerged with...
This paper focuses on the parallelization of an ocean model applying current multicore processor-bas...
Description The course introduces the basics of parallel programming with the message-passing inter...
Abstract. In this paper, we present the design and implementation details of our highly modular para...
Workstation clusters have become an increasingly popular alternative to traditional parallel superco...
Moore's Law is running out. Instead of making powerful computer by increasing number of transistor n...
By programming in parallel, large problem is divided in smaller ones, which are solved concurrently....
The discipline of remote sensing is concerned with observing the earth's suface using different port...
(eng) Today, clusters are often interconnected by long distance networks within grids to offer a hug...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...
: Machine learning using large data sets is a computationally intensive process. One technique that ...
Dr. Henry Neeman, University of Oklahoma Assistant Vice President, Information Technology - Rese...
Dr. Henry Neeman, Director OU Supercomputing Center for Education & Research University of Oklahom...
Dr. Henry Neeman, Director OU Supercomputing Center for Education & Research University of Oklahom...
AbstractParallel program design of Yellow River 2D water-sand model was realized based on MPI(Messag...
As supercomputers have approached exascale performance, several scalability issues have emerged with...
This paper focuses on the parallelization of an ocean model applying current multicore processor-bas...
Description The course introduces the basics of parallel programming with the message-passing inter...
Abstract. In this paper, we present the design and implementation details of our highly modular para...
Workstation clusters have become an increasingly popular alternative to traditional parallel superco...
Moore's Law is running out. Instead of making powerful computer by increasing number of transistor n...
By programming in parallel, large problem is divided in smaller ones, which are solved concurrently....
The discipline of remote sensing is concerned with observing the earth's suface using different port...
(eng) Today, clusters are often interconnected by long distance networks within grids to offer a hug...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...
: Machine learning using large data sets is a computationally intensive process. One technique that ...