As AI technologies become even faster and more accessible, the computing community will be positioned to help organizations achieve the desired levels of efficiency that are critically needed in order to resolve the world’s most complex problems, and increase safety, productivity, and prosperity. Learn more about AI Technologies … download this white paper.
To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. A scale-up design that allows multiple cores to share a large global pool of memory and a scale-out design design that distributes data sets across the memory on separate host systems in a computing cluster. To learn more about In-Memory computing download this guide from IHPC and SGI.
The high performance networking interconnect landscape is in transition. InfiniBand and Intel Omni-Path will compete for the performance crown, while Ethernet will remain the ubiquitous standard for commercially oriented systems
With the deluge of new data from new sources, it isn’t surprising to find that data centers are running short on compute capacity. In this research report, we explore the world of accelerators, primarily FPGAs, to see if they’re the right answer to fill
the ‘compute gap’.
Bio and life sciences is the third-largest commercial vertical market segment for the use of HPC, including “biomedical research and development organizations in such areas as: pharmaceuticals, medical research, agriculture, environmental engineering, etc.”1 A great deal of additional usage of HPC for life sciences occurs at public-sector (academic and government) research labs, or even in other industries, such as an oil company pursuing research in bio fuels. To learn more download this white paper.
When it comes to generating increasingly larger data sets and stretching the limits of high performance computing (HPC), the field of genomics and next generation sequencing (NGS) is in the forefront.
The major impetus for this data explosion began in 1990 when the U.S. kicked off the Human Genome Project, an ambitious project designed to sequence the three billion base pairs that constitute the complete set of DNA in the human body. Eleven years and $3 billion later the deed was done. This breakthrough was followed by a massive upsurge in genomics research and development that included rapid advances in sequencing using the power of HPC. Today an individual’s genome can be sequenced overnight for less than $1,000.
Using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workflows such as risk management, while incorporating larger datasets than using traditional NAS.
The insideHPC Guide to Personalized Medicine and Genomics explains how genomics will accelerate personalized medicine including several case studies.