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The Qlustar HPC Stack

Qlustar HPC Stack

The Qlustar HPC Stack contains all components necessary, to render a networked server farm based on off-the-shelf hardware into a high-performance compute cluster.

Qlustar is designed to handle small, medium and even the largest clusters with minimum effort but maximum control and efficiency. It shows, that more than a decade of experience in the creation, management and operation of powerful Linux clusters has contributed to its underlying technology.

Workload Management

Efficient and scalable workload management is of crucial importance for an HPC cluster. Users expect their compute jobs to get executed as fast as possible and want to get a fair share of the available compute resources. They also want detailed information about their jobs status and convenient tools to manipulate them. On the other hand, cluster administrators are most interested in maximal utilization of their cluster hardware and need simple control over the status of compute nodes.

Per default, Qlustar's workload management provides the premier open-source software Slurm to achieve all of the above goals. To complement Slurm's superb feature set, QluMan provides an extremely simple, yet powerful configuration module to setup and manage the Slurm installation. Optionally, admins can choose to run their clusters with the additionally supported torque or Gridengine resource managers.

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Qlustar Workload Management
Qlustar MPI

Qlustar MPI - Fast Distributed Computing

To achieve scalable performance on an HPC cluster, most applications use MPI parallelization. Qlustar MPI provides optimized Debian packages of OpenMPI, the most widely used open-source MPI implementation. Our packages are created such that different major OpenMPI versions compiled with varying compilers (gcc, icc, etc.) can be installed in parallel. Hence users have a choice of MPI versions to use for their programs and can expect, that old binaries will still run after system updates.

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GPU Computing

The use of graphical processing units (GPU) to accelerate certain compute workloads has revolutionized HPC in recent years. The performance boost from parallelization on a large numbers of GPU cores increased the achievable FLOPS per node dramatically.

Qlustar has out-of-the-box support for the most widely adopted hardware options and programming models in GPU computing. In particular, we provide OpenCL as an open standard technology to code development for both GPUs and CPUs with an emphasis on portability.

Qlustar GPU Computing
OFA Alliance

Infiniband Support

Fast networking is a must for HPC clusters. The de-facto standard technology for high-speed networks nowadays is Infiniband (IB). To optimally support IB networks, Qlustar always ships the latest OFED software stack with its drivers readily built to use with Qlustar kernels. This ensures that modern IB hardware will always be optimally supported and new IB software modules available for use. Wherever possible, Qlustar integrates IB support in other HPC components like MPI or workload managers.

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