Abstract. One of the main problems in providing the amount of computation requested by the Molecular Dynamic domain is to offer an appropriate architectural environment for solving all the aspects of the intense parts of the involved computation. Current solutions accelerate only partially the intense computation -forces computation & position and speed updates, which represents around 75% from the total computational effort -thus limiting the help provided by the parallel computing resources involved. The aim of this paper is to introduce a parallel accelerator featured with functions able to add to the accelerated functions the neighbourhood list building, which represent around 25% from the total computation. Thus, accelerations higher than the current ∼ 4× are expected. Our proposal, the MapReduce Accelerator, is evaluated using the Gromacs system. The Martini water example, running on a cycle accurate simulator, is used to evaluate the speed-up and the energy.

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The Connex technology is presented as a possible way to implement efficiently membrane computations in Silicon environment. The opportunity is offered by the recent trend of promoting the parallel computation as a real competitor on the consumer market. The Connex environment has an integral parallel architecture, which is introduced and its main performances are presented. Some suggestions are provided about how to use the Connex environment as accelerator for membrane computation.