In this video from ISC’14, Shen Weidong from Sugon describes the company’s liquid-cooled “personal supercomputer” prototype designed to run in office environments. “The PHPC300 has 12 blades. Each blade is a sealed box with (3M Novec) liquid in it with a boiling point of about 50 degrees Celsius. So the liquid near the CPU will evaporate and then be circulated to a condenser where it is turned back into a liquid. We can use this technology in China to achieve a PUE of 1.05.”
In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss reports that Russia plans to build their own ARM chip with help from T-Platforms. After the break, they take a look at the latest supercomputing rankings from the Green500 and the new HPCG benchmark.
In this video from ISC’14, David Lecomber discusses new energy optimization programming tools from Allinea Software. “Our developer-centric tool, Allinea MAP, will allow scientific code developers to focus energy optimization down into the source code — making changes to the application to drive faster performance and lower energy consumption at the same time.”
In this Sponsored Post from CoolIT we explore the many benefits liquid cooling offers to HPC and data center operators. For starters liquid cooling is about 3,500 times better at storing and transferring heat than air. Direct contact liquid cooling (DCLC) uses the exceptional thermal conductivity of liquid to provide dense, concentrated cooling to targeted areas. The many benefits of liquid cooling may surprise you.
“Creating more energy-efficient HPC is a continuous improvement process that requires the right tools for measuring, taking action, checking the results and iterating in a virtuous cycle. This is true for the infrastructure as well as all levels of the system; from components through applications. We haven’t had to think about energy efficiency, nor have we had the tools to measure it. Once the right tools are in place, we can start wrapping our heads around what are the contributing factors to better efficiency, and from that we can start influencing hardware designs.”