HLRN, established in 2001, is a joint project of the seven North-German states: Berlin, Brandenburg, Bremen, Hamburg, Mecklenburg-Vorpommern, Niedersachsen and Schleswig-Holstein. HLRN currently runs Moab HPC Suite: Enterprise Edition on its distributed Cray XC30 supercomputing system, “HLRN III,” which is hosted at Zuse Institute Berlin and Leibniz University Hannover. Completed in January 2014, HLRN III…
Moab® HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. The patented Moab intelligence engine uses multi-dimensional policies and advanced future modeling to optimize workload start and run times on diverse resources.
The mathematical acceleration delivered by many-core General Purpose Graphics Processing Units (GPGPUs) offers significant performance advantages for many classes of numerically intensive applications. Parallel computing tools such as NVIDIA’s CUDA and the openCL framework have made harnessing the power of these technologies much more accessible to developers, resulting in the increasing deployment of hybrid GPGPU-based…
Consolidation and Grid: Many sites have multiple clusters as a result of having multiple independent groups or locations, each with demands for HPC, and frequent additions of newer machines. Each new cluster increases the overall administrative burden and overhead. Additionally, many of these systems can sit idle while others are overloaded. Because of this systems-management…
Adaptive Computing’s Reporting and Analytics tool enables organizations to gain insights by streaming resource usage and workload data into custom reports and personalized dashboards. View this brief video for an overview and demonstration.
As use of HPC clusters becomes more diversified, the industry is witnessing a convergence of high-throughput computing (HTC) with high-performance computing (HPC). Sectors once focused on HPC, such as electronic design automation (EDA), finance and insurance, chemistry, life sciences, oil and gas, manufacturing, and defense and intelligence, now need to optimize systems for both types…