Parc#: parallel computing with c# in .net

This paper describes experiments with the development of a parallel computing platform on top of a compatible C# implementation: the Mono project. This implementation has the advantage of running on both Windows and UNIX platforms and has reached a stable state. This paper presents performance results obtained and compares these results with implementations in Java/RMI. The results show that the Mono network performance, critical for parallel applications, has greatly improved in recent releases, that it is superior to the Java RMI and is close to the performance of the new Java nio package. The Mono virtual machine is not yet so highly tuned as the Sun JVM and Thread scheduling needs to be improved. Overall, this platform is a new alternative to explore in the future for parallel computing(undefined

A Run-time System for Dynamic Grain Packing

system is an hybrid compile and run-time system, that extracts parallelism, supports explicit parallelism and dynamically serialises parallel tasks in excess, to dynamically scale applications through a wide range of target platforms. This paper describes the run-time system of the current SCOOPP prototype-the ParC++- and its mechanism to serialise parallelism. Low level performance results are presented, which indicate that the proposed methodology is effective and provides an high reduction in parallelism overheads. These features can improve the scalability of parallel applications with excessive parallelism.