In parallel and distributed processing, tasks are ordinarily clustered and assigned to different processors or machines before they are scheduled. The assignment of tasks to proc...
In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
Volkan Akcelik, George Biros, Andrei Draganescu, J...
Spatial Information Grid (SIG) is a project of applying grid technology to share and integrate spatial data resources, information processing resources, equipment resources, and kn...
Chunhui Yang, Deke Guo, Yan Ren, Xueshan Luo, Jinf...
We propose an organization for the on-chip memory system of a chip multiprocessor, in which 16 processors share a 16MB pool of 256 L2 cache banks. The L2 cache is organized as a n...
Jaehyuk Huh, Changkyu Kim, Hazim Shafi, Lixin Zhan...
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...