While some domains that rely on computing systems are satisfied with the performance gains that are continuously delivered from processor manufacturers, others require performance that can only be attained through massive parallelism. High-performance computing is for those that need the highest performance in order to solve many of today’s most difficult scientific challenges.
Despite the proven benefits of HPC in the enterprise, many businesses still struggle to overcome the complexity of deploying HPC solutions in their enterprise. To read several successful case studies and learn more about how to leverage HPC in your enterprise, download this white paper.
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.
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.
Object stores represent a simpler, more scalable solution and one that is easily accessed over standard web-based protocols. To learn more about Object Stores download this guide.
For this report, DDN performed a number of experimental benchmarks to attain optimal IO rates for Paradigm Echos application workloads. It present results from IO intensive Echos micro-benchmarks to illustrate the DDN GRIDScaler performance benefits and provide some detail to aid optimal job packing in 40G Ethernet clusters. To find out the results download this guide.
“With three primary network technology options widely available, each with advantages and disadvantages in specific workload scenarios, the choice of solution partner that can deliver the full range of choices together with the expertise and support to match technology solution to business requirement becomes paramount.”
With the advent of heterogeneous computing systems that combine both main CPUs and connected processors that can ingest and process tremendous amounts of data and run complex algorithms, artificial intelligence (AI) technologies are beginning to take hold in a variety of industries. Massive datasets can now be used to drive innovation in industries such as autonomous driving systems, controlling power grids and combining data to arrive at a profitable decision, for example. Read how AI can now be used in various industries using the latest hardware and software.
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.
SGI’s Data Management Framework (DMF) software – when used within personalized medicine applications – provides a large-scale, storage virtualization and tiered data management platform specifically engineered to administer the billions of files and petabytes of structured and unstructured fixed content generated by highly scalable and extremely dynamic life sciences applications.