Genalice technology exploits the fact that today’s processors have sufficient processing power to process large volumes of NGS data, provided it can readily access it. We ensure that data is transferred to the multi-core center of the processor and stays there until the parallel pipeline is done – using the full potential of the hardware. Current and next generation of commodity processors and memory systems have the right balance of compute and bandwidth to assure efficient processing of large volumes of NGS data using Genalice technology.
Secondly Genalice applies smart new algorithms that utilise the latest commodity hardware functionalities. This reduces the required processor cycles for NGS data processing dramatically. The combination of Data Flow Processing and Instruction Reduction boosts the performance beyond hardware acceleration of computational genomics solutions.
Thirdly we implement significant Data Stream Reduction, which applies to both memory and disk structures. This saves on disk space, being an important cost component, and reduces the required network and memory bandwidth. The approach assures optimal data flow within a node and between nodes for a HPC or Cloud environment.
Given that NGS data production expansion will far exceed the expected technology growth in CPU, network, and storage capacity, Genalice makes it possible to take NGS data usage to the next level. Now and in the future.