Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadthļ¬...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more eļ...
Meng-Shiou Wu, Ricky A. Kendall, Kyle Wright, Zhao...
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
We present a new methodology for generating and adapting octree meshes for terascale applications. Our approach combines existing methods, such as parallel octree decomposition and...
The paper proposes a novel approach for optimizing performance of all-to-all collective communication by taking advantage of concurrency available in modern networks such as Infin...
ng Abstractions from Resources in a Tactical Storage System Douglas Thainā , Sander Klousā , Justin Wozniakā , Paul Brennerā , Aaron Striegelā , Jesus Izaguirreā ā - ...
Douglas Thain, Sander Klous, Justin M. Wozniak, Pa...
Today, users of the grid may easily authenticate themselves to computing resources around the world using a public key security infrastructure. However, users are forced to employ...