Metadata makes finding scientific data much easier, both to an individual user as well as to an entire organization. A file system may only keep track of the file location, owner and various time stamps. With a sophisticated metadata system, significant more information can be stored along with the actual data itself. This allows for more efficient workflow within an organization, enabling better collaboration.
“Deep neural networks have recently emerged as an important tool for difficult AI problems, and have found success in many fields ranging from computer vision to speech recognition. Training deep neural networks is computationally intensive, and so practical application of these networks requires careful attention to parallelism. GPUs have been instrumental in the success of deep neural networks, because they significantly reduce the cost of network training, which then has allowed many researchers to train better networks. In this talk, I will discuss how we were able to duplicate results from a 1000 node cluster using only 3 nodes, each with 4 GPUs.”
“SGI has been delivering scaleable shared memory systems for over 2 decades. The 7th generation SGI NUMAlink7 technology is being delivered in the SGI UV 300, launched at SC14. A single UV 300 chassis (5U) provides 4 Xeon E7 processors, up to 96 DIMMs, and 12 PCIe slots. Connecting 8 of these units together in a single rack, using NUMAlink7 interconnect, then creates a huge pool of resources, up to 480 cores, 24TB DRAM, which can be extended with additional PCIe devices for highest performance FLASH in the industry, as well as compute acceleration with Intel Xeon Phi and visualization capabilities – all in a single system!”
“By providing a fundamentally new and powerful technology, plus the tools to operate and program it, Micron is providing developers and customers an entirely new way to power their innovation,” said Paul Dlugosch from Micron. “The Automata Processor and SDK will provide a new alternative for implementing very high levels of hardware parallelism without the complexities associated with von Neumann-style architectures.”