To create an optimal workflow that encompasses the diverse computing requirements of bioinformatics research, the Malaysia Genomics Institute selected SGI to design a unique SGI hybrid computing solution. Because bioinformatics research uses a variety of software at various stages in the workflow, the combined use of shared-memory systems and clusters can provide an optimal environment for the efficient use of each application.

    MGI looked to SGI to design a seamless, cohesive workflow for the entire process that would integrate into the existing infrastructure. SGI delivered a hybrid computing solution that consists of the new SGI BioCluster as well as an SGI Altix shared memory server and an SGI InfiniteStorage CXFS SAN shared file system, which makes the entire workflow transparent to the user regardless of software employed or stage of the process at which scientists are performing.

    Unlike other Storage Area Network "solutions" available in the marketplace, SGI InfiniteStorage SAN Servers provide not only disk storage and a SAN fabric, but also the most robust data sharing available with SGI InfiniteStorage Shared Filesystem CXFS. SGI InfiniteStorage SAN 2000, SGI InfiniteStorage SAN 3000 and SGI InfiniteStorage SAN Gateway models give all connected systems instant access to the same data at the same time, eliminating data access wait time, and removing the cost and complexity of managing multiple data copies.

    "Bioinformatics brings together an avalanche of systematic biological data with the analytic theory and practical tools of mathematics and computer science," stated Mohd Noor Mat Isa, Laboratory Manager, Malaysia Genome Institute. "SGI delivered flexible computing with a hybrid architecture that integrates high-throughput, high-performance and FPGA-based solutions for all of our bioinformatics applications - a solution that seamlessly runs applications in the environment best suited for optimal performance."

    The SGI BioCluster solution includes a software layer providing transparent workload scheduling through which users can submit jobs without hardware concerns. The SGI solution's administrative software intelligently cues submissions to run on the appropriate platform, providing best-in-class performance and optimal load balancing. MGI, also known as GENOMalaysia, is a network-based organization carrying out discovery research on tropical bioresources through projects in genome sequencing, comparative and functional genomics, and structural biology. Several major research projects are currently underway at MGI.

    SGI worked with channel partner Quantum Beez Sdn Bhd (formerly known as Open Source Systems) to design and develop the SGI hybrid solution for MGI. Revolutionary standards-based design delivers versatile performance for the most demanding HPC workloads and features new technology that will drive future HPC breakthroughs.