Managing Heterogeneity in a Grid Parallel Haskell

Computational Grids potentially offer cheap large-scale high-performance systems, but are a very challenging architecture, being heterogeneous, shared and hierarchical. Rather than requiring a programmer to explicitly manage this complex environment, we recommend using a high-level parallel functional language, like GpH, with largely automatic management of parallel coordination. We present GRID-GUM, an initial port of the distributed virtual shared-memory implementation of GpH for computational Grids. We show that, GRID-GUM delivers acceptable speedups on relatively low latency homogeneous and heterogeneous computational Grids. Moreover, we find that for heterogeneous computational Grids, load management limits performance. We present the initial design of GRID-GUM2, that incorporates new load management mechanisms that cheaply and effectively combine static and dynamic information to adapt to heterogeneous Grids. The mechanisms are evaluated by measuring four non-trivial programs ...

• Type: Conference
• Year: 2005
• Where: ICCS
• Authors: Abdallah Al Zain, Philip W. Trinder, Hans-Wolfgang Loidl, Greg Michaelson
• Keywords: Computational Grids, Heterogeneous Computational Grids, Heterogeneous Grids, ICCS 2005