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 Performance Computing |
The cluster computing has been around for more than four decades; however, cluster computing did not gain momentum until the convergence of three important trends in recent times:
- High-performance microprocessors
- High-speed networks,
- Standard tools for high performance distributed computing.
A possible fourth trend is the increasing need of computing power for computational science and commercial applications coupled with the high cost and low accessibility of traditional supercomputers. The recent advances in these technologies and their availability as cheap and commodity components are making clusters or networks of computers such as Personal Computers (PCs), workstations, and Symmetric Multiple-Processors (SMPs) an appealing solution for cost-effective parallel computing.
The trend in parallel computing is to move away from traditional specialized supercomputing platforms, such as the Cray/SGI T3E, to cheaper and general purpose systems consisting of loosely coupled components built up from single or multiprocessor PCs or workstations. This approach has a number of advantages, including being able to build a platform for a given budget that is suitable for a large class of applications and workloads.
The emergence of cluster platforms was driven by a number of academic projects, that prove the advantage of clusters over other traditional platforms. These advantages include low-entry costs to access supercomputing-level performance, the ability to track technologies, incrementally upgradeable system, open source development platforms, and vendor independence.
QuantM is a front runner in intelligent InfiniBand fabric solutions for enterprise data centers and high performance computing environments. We have strong partnerships with InfiniBand product developers to integrate and support a comprehensive, end-to-end product portfolio which includes Multi-Protocol Fabric Directors, Edge Fabric Switches, Host Channel Adapters (HCA), and a complete software suite to install, operate, and maintain your high performance interconnect fabric.
The HA cluster solutions designed by QuantM have the following features:
- Manageability: Ability to manage and administrate local and remote resources.
- Stability: Support for robustness against system failures with system recovery.
- Performance: All types of operations can be optimized and efficient.
- Extensibility: Provide easy integration of cluster-specific extensions.
- Scalability: Able to scale without impact on performance.
- Support: User and system administrator support is essential.
- Heterogeneity: Portability over multiple architectures to support a cluster consisting of heterogeneous hardware components.
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