Large-Scale Parallel Computing on Grids

Dynamically Reconfigurable Scientific Computing on Large-Scale Heterogeneous Grids

Many scientific applications require computational capabilities not easily supported by current computing environments. We propose a scalable computing environment based on autonomous actors. In this approach, a wide range of computational resources, ranging from clusters to desktops and laptops, can run an application programmed using actors as program components in an actor language: SALSA. S...

Java Communications for Large-Scale Parallel Computing

Running Large-scale Applications on Cluster Grids 157 Running Large-scale Applications Running Large-scale Applications on Cluster Grids

Grid computing enables the enormous, but often poorly utilized, computing resources existing on the Internet to be harnessed in order to solve large-scale problems. However, if they want to solve the problems of configuration and performance optimization of their large-scale applications, programmers wishing to exploit such computing resources have to deal with highly variable communication del...

Virtual screening on large scale grids

Large scale grids for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale virtual docking within the framework of the WISDOM initiative against malaria and avian influenza requiring about 100 years of CPU on the EGEE, Auvergrid and TWGrid infrastructures. These achievements demonstrated ...

Performance Analysis of Homogeneous On-Chip Large-Scale Parallel Computing Architectures for Data-Parallel Applications

On-chip computing platforms are evolving from single-core bus-based systems to many-core network-based systems, which are referred to as On-chip Large-scale Parallel Computing architectures (OLPCs) in the paper. Homogenous OLPCs feature strong regularity and scalability due to its identical cores and routers, and each core has the same computation capability and work in (Single Program Multiple...