Today Norway’s Dolphin Interconnect Solutions demonstrated record a low latency of 300 nanoseconds at IDF 2015. Dolphin achieved this record by adding Intel Xeon Non Transparent Bridging (NTB) support to its existing PCI Express network product. In addition, Dolphin announced a new PCIe 3.0 host adapter, the PXH810 Host Adapter, which achieves 540 nanoseconds of latency at 64Gbps wire speeds.
“The range of cooling options now available is testimony to engineering ingenuity. HPC centers can choose between air, oil, dielectric fluid, or water as the heat-transfer medium. Opting for something other than air means that single or two-phase flow could be available, opening up the possibilities of convective or evaporative cooling and thus saving the cost of pumping the fluid round the system.”
In this video from the AIAA Aviation Conference 2015, panelists discuss Supercomputing: Roadmap and its Future Role in Aerospace Engineering. “Supercomputing has made significant contributions in aerospace engineering in recent decades, including advances in computational fluid dynamics that has fundamentally altered the way aircraft are designed. And the relentless growth in high-performance computing power holds promise of huge leaps in engine performance and other aerospace technology.”
“Space Debris are defunct objects in space, including old space vehicles (such as satellites or rocket stages) or fragments from collisions. Space debris can cause great damage to functional space ships and satellites. Thus detection of space debris and prediction of their orbital paths are essential for today’s operation of space missions. The talk shows the Python-based infrastructures BACARDI for gathering and storing space debris data from sensors and Skynet for high-throughput data processing and orbital collision detection.”
“The fast fourier transform (FFT) algorithm is a powerful tool for looking at time-based measurements in an interesting way, but do you understand what it does? This talk will start from basic geometry and explain what the fourier transform is, how to understand it, why it’s useful and show examples. If you’re collecting time-series data (e.g. heart rate, stock prices, server usage, temperature) the fourier transform can be a useful tool for analyzing the underlying periodic nature of the data.”