Add to ORKGMultiple signal classification algorithm (MUSICAL) provides a super-resolution microscopy method. In the previous research, MUSICAL has enabled data-parallelism well on a desktop computer or a Linux-based server. However, the running time needs to be shorter. This paper will develop a new parallel MUSICAL with high efficiency and scalability on a cluster of computers. We achieve the purpose by using the optimal speed of the cluster cores, the latest parallel programming techniques, and the high-performance computing libraries, such as the Intel Threading Building Blocks (TBB), the Intel Math Kernel Library (MKL), and the unified parallel C++ (UPC++) for the cluster of computers. Our experimental results show that the new parallel MUSICAL ac...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
With the rapid development of big data technologies, how to dig out useful information from massive ...
Multimedia applications are compute intensive applications that often contain multiple streams of o...
The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique f...
The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique f...
Both the brain and modern digital architectures rely on massive parallelismfor efficient solutions t...
A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems Rio Yokota...
this article Download to Citation Manager Collections under which this unparallelizable to be perfor...
. At the Electronics Lab of the Swiss Federal Institute of Techology (ETH) in Zurich, the high perfo...
Among the algorithms that are likely to play a major role in future exascale computing, the fast mul...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
2011-07-13The advent of multi-core/many-core paradigm has provided unprecedented computing power, an...
Abstract—Special-purpose computing hardware can provide significantly better performance and power e...
The Burg algorithm is a widely applied and extensively studied signal processing procedure having a ...
With the limits to frequency scaling in microprocessors due to power constraints, many-core and mult...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
With the rapid development of big data technologies, how to dig out useful information from massive ...
Multimedia applications are compute intensive applications that often contain multiple streams of o...
The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique f...
The multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique f...
Both the brain and modern digital architectures rely on massive parallelismfor efficient solutions t...
A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems Rio Yokota...
this article Download to Citation Manager Collections under which this unparallelizable to be perfor...
. At the Electronics Lab of the Swiss Federal Institute of Techology (ETH) in Zurich, the high perfo...
Among the algorithms that are likely to play a major role in future exascale computing, the fast mul...
Molecular dynamics (MD) is a powerful computer simulation technique providing atomistic resolution a...
2011-07-13The advent of multi-core/many-core paradigm has provided unprecedented computing power, an...
Abstract—Special-purpose computing hardware can provide significantly better performance and power e...
The Burg algorithm is a widely applied and extensively studied signal processing procedure having a ...
With the limits to frequency scaling in microprocessors due to power constraints, many-core and mult...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
With the rapid development of big data technologies, how to dig out useful information from massive ...
Multimedia applications are compute intensive applications that often contain multiple streams of o...