BSP-Based Adaptive Parallel Processing
نویسندگان
چکیده
1 BSP-Based Adaptive Parallel Processing 1 1.
منابع مشابه
Parleda: a Library for Parallel Processing in Computational Geometry Applications
ParLeda is a software library that provides the basic primitives needed for parallel implementation of computational geometry applications. It can also be used in implementing a parallel application that uses geometric data structures. The parallel model that we use is based on a new heterogeneous parallel model named HBSP, which is based on BSP and is introduced here. ParLeda uses two main lib...
متن کاملAdaptive Parallelism in the Bulk-Synchronous Parallel Model
The Bulk-Synchronous Parallel (BSP) model is a universal abstraction of parallel computation that can be used to design portable parallel software. Advances in processor architecture and network communication enable clusters of workstations to be used as parallel computers. This paper focuses on using the idle computing power of a network of workstations to run parallel programs. The transient ...
متن کاملXxx Can We Use a Different Title That Formats Better? E.g. Adaptive Bsp on a Network of Workstaions?
¡ S¢s£'¤ ¥S¦§£z ̈ XXX CAN WE USE A DIFFERENT TITLE THAT FORMATS BETTER? E.G. ADAPTIVE BSP ON A NETWORK OF WORKSTAIONS? XXX Several computing environments, including wide area networks and non-dedicated networks of workstations, are characterized by frequent unavailability of the participating machines. Parallel computations, with interdependencies among their component processes, cannot make pr...
متن کاملAn Effective Load Balancing Scheme for 3D Texture-Based Sort-Last Parallel Volume Rendering on GPU Clusters
We present an adaptive dynamic load balancing scheme for 3D texture based sort-last parallel volume rendering on a PC cluster equipped with GPUs. Our scheme exploits not only task parallelism but also data parallelism during rendering by combining the hierarchical data structures (octree and parallel BSP tree) in order to skip empty regions and distribute proper workloads to rendering nodes. Ou...
متن کاملAsynchronous Large-Scale Graph Processing Made Easy
Scaling large iterative graph processing applications through parallel computing is a very important problem. Several graph processing frameworks have been proposed that insulate developers from low-level details of parallel programming. Most of these frameworks are based on the bulk synchronous parallel (BSP) model in order to simplify application development. However, in the BSP model, vertic...
متن کامل