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ScaleMP Demonstrates Best-in-Class Large-System ResultsScaleMP™, a leading provider of virtualization solutions for high-end computing, today announced that it has accomplished best-ever recorded results for the SPEC CPU® 2017 benchmark for any system size of four processors and higher. ScaleMP's results for 32-, 24- and 16-processor systems are now holding the top three positions for best results ever. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200114005508/en/ (Graphic: Business Wire) In 2019, AMD (News - Alert) and ScaleMP announced a strategic collaboration to enable AMD server OEMs to create systems with four, eight and up to 128 processor sockets, up to 8,192 CPUs and 256 terabytes of shared memory using ScaleMP's vSMP Foundation line of products. "We are extremely pleased with these new benchmark results, which show superiority across the board," said Shai Fultheim, founder and CEO of ScaleMP. "Customers can now scale their systems on demand for more computing or more memory, pay only for what they need, and be sure that they are buying the best and most cost-effective solution available that delivers the best performance." "ScaleMP's unique software-defined server technology enables AMD to capture the leading positions for the system-scale SPEC CPU2017 benchmark without any custom engineering," said Raghu Nambiar, corporate vice president, Datacenter Ecosystems & Application Engineering at AMD. "Through our collaboration with ScaleMP, we expect to continue to dominate the scale-up benchmarks as this innovation continues." The following table summarizes the current best SPEC CPU2017 Integer Rates and SPEC CPU2017 Floating Point Rates for every scale of server system and contrasts it with the previous best system/result for that scale.
ScaleMP solidifies the leading position of its patented vSMP Foundation technology and line of products as the best scale-up computing architecture for compute-intensive workloads, with up to 96% better performance compared to alternative systems. The results, made public by the SPEC.org, show that ScaleMP's on-demand composed computing architecture provides better scaling than hardware-only approaches. Reference Results
About vSMP Foundation vSMP Foundation is the underlying technology for ScaleMP's line of software-defined scale-up products. vSMP ServerONE aggregates multiple, industry-standard, off-the-shelf x86 servers into a single virtual high-end system, and provides customers with an alternative to traditional, expensive, symmetrical multiprocessing (SMP) systems. vSMP ClusterONE offers simplified clustering infrastructure with a single operating system. vSMP MemoryONE enables the transparent use of NVM storage as system memory, to reduce TCO and expand beyond traditional DRAM scaling limitations. vSMP ServerONE supports aggregation of up to 128 servers into a single virtual SMP system:
vSMP ClusterONE provides:
vSMP MemoryONE transparently transforms high-end NVM devices into system memory:
For more information on vSMP Foundation, please visit http://www.scalemp.com/products. About ScaleMP ScaleMP is the leader in virtualization for high-end computing, providing increased performance and total cost of ownership (TCO) reduction. The innovative Versatile SMP™ (vSMP) architecture provides software-defined computing and software-defined memory by aggregating multiple independent systems or high-performance SSDs into single virtual systems. Using software to replace custom hardware systems and components, ScaleMP offers a revolutionary scale-up computing paradigm by delivering industry-standard, high-end symmetric multiprocessing compute and memory environments. For more information, please call +1 (201) 429-9740 or visit http://www.scalemp.com/. vSMP Foundation is a trademark or registered trademark of ScaleMP. All other brands or products are trademarks or registered trademarks of their respective holders and should be treated as such. View source version on businesswire.com: https://www.businesswire.com/news/home/20200114005508/en/ |