Processing complex genomic data sets requires massive compute power, storage and network capabilities. Getting the balance right is critical to success. The insideHPC Guide to Genomics looks at the benefits, challenges of applying HPC to Genomics as well as many success stories.
The PDT team – a proprietary quantitative investment manager – is seeking a highly-talented senior HPC engineer. The Senior GRID Engineer will be a primary point of contact for the research teams using the GRID and will interface closely with the entire UNIX engineering group, senior software developers, vendors and the in-house monitoring team.
Ocean modelling is complex from an algorithm standpoint and can require significant amounts of computing power to arrive at a simulation endpoint. However, many of the calculations that are contained in the simulation can be distributed among a cluster of systems and used on shared memory systems as well.
AMD powers the L-CSC cluster at the GSI research facility which achieved the number one position for most energy efficient supercomputers on the latest Green500™ List. The L-CSC cluster is installed at the GSI Helmholtzzentrum für Schwerionenforschung GmbH research facility in Darmstadt, Germany, and is powered by AMD FirePro™ S9150 server GPUs.
The term next generation sequencing (NGS) is really a misnomer. NGS implies a single methodology, but the fact is that over the past 10 to 15 years there have been multiple generations and the end is nowhere in sight. Technological advances in the field are continuing to emerge at a record setting pace.
For about 40 years, developers and users could count on an increase in CPU performance that would make applications run faster. However, with the slowdown in constant clock rate increases being replaced by additional core counts and even more new instructions, rethinking algorithms, their use of the latest APIs, and using the latest compilers has become critical for the next generation of application performance enhancements.
CloudyCluster allows you to quickly set up and configure a cluster on Amazon Web Services (AWS) to handle the most demanding HPC and Big Data tasks. You don’t need access to a data center and you don’t have to be an expert in the ins and outs of running computationally intensive workloads in a cloud environment.