(One of ten) The Cray XC is a Massively Parallel Processor (MPP) supercomputer design. It is therefore built from many thousands of individual nodes.
●Compute nodes: These only do user computation and are referred to as “Compute nodes”
The Cray company prioritize chassis energy efficiency in powering and cooling their systems. Cray company also promote energy efficiency in the manufacture, operation, and eventual decommissioning of these systems.
University Tag Number:
184891
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Center for Computationally Assisted Science & Technology
Today there is a class of applications that can take advantage of the combination of powerful accelerator technologies and Cray’s system expertise to provide leading total performance and maximum efficiency. Cray offers accelerated systems specifically designed for parallel in-node efficiency and optimized off-node communication. These systems are available with today’s powerful NVIDIA graphics processing units (GPUs) and are designed for designed for upgradeability to future technologies.
University Tag Number:
194832
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Center for Computationally Assisted Science & Technology
The Cray CS-Storm 500NX configuration scales up to eight NVIDIA Tesla Volta or Pascal architecture GPUs (V100, P100) using NVIDIA® NVLink™ to reduce latency and increase bandwidth between GPU-to-GPU communications, enabling larger models and faster results for AI and deep learning neural network training.
Cray® CS-Storm™ cluster supercomputers tackle the toughest extreme HPC and artificial intelligence (AI) workloads. Designed for speed, architected for scale and integrated for production use.
University Tag Number:
184906
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Center for Computationally Assisted Science & Technology
Cressington 108 Sputter Coaters are ideal for routine sample preparation. Compact, economical and simple to operate, they offer rapid pumpdown times, fine-grain coatings and negligible sample heating. Cool, fine-grain sputtering is achieved with a very efficient dc magnetron head. A quick-change target method allows a range of metals to be used. The safety interlocked sputtering supply is fully variable and setting the sputter current is not influenced by vacuum level.
The Cressington Coater offers real solutions to the problems encountered when coating difficult samples for FE-SEM. To minimize the effects of grain size the unit offers a full range of coating materials and gives unprecedented control over thickness and deposition conditions. To minimize charging effects the stage design and wide range of operating pressures allows precise control of the uniformity and conformity of the coating. The HIGH/LOW chamber configuration allows easy adjustment of working distance.
Solubility data are used to make crucial decisions from the earliest stages of drug discovery and throughout the entire development process. The Crystal16™ and optional CrystalClear™ software provide the ideal tools to efficiently gather and analyze solubility data at an early stage, using only minimal amounts of sample. Discover why several pharmaceutical companies have already chosen the Crystal16™ as their standard tool to determine solubility of their drug compounds.
Cyclic corrosion tests automatically expose test specimens to a series of different environments in repetitive cycles. Cycles like Prohesion® may consist of fast cycling, rapid temperature changes, a low humidity dry-off cycle, and a different corrosive solution. Continuous salt spray exposure cycles are widely specified for testing components and coatings for corrosion resistance. With the Q-Fog CCT one can cycle through all of the most significant corrosion environments in one chamber.
The S4048-ON delivers line-rate Layer 2 and Layer 3 forwarding capacity with ultra-low-latency, laying the foundation for an open networking environment.
(1 of 4 switches)
University Tag Number:
194838
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Center for Computationally Assisted Science & Technology
Peak 2-socket performance, huge internal storage capacity, and extensive configuration flexibility to drive and adapt to a wide range of demanding workloads.
University Tag Number:
194834
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Center for Computationally Assisted Science & Technology
