Visualization and Filesystem use Cases Present Value of Massive Memory Fats Nodes On Frontera > 자유게시판

Frontera, the world’s largest tutorial supercomputer housed on the Texas Superior Computing Center (TACC), is large each when it comes to number of computational nodes and the capabilities of the large memory "fat" compute nodes. A few recent use cases demonstrate how educational researchers are using the quad-socket, 112-core, 2.1 TB persistent memory to assist Frontera’s massive memory nodes to advance a wide variety of research subjects including visualization and filesystems. The arrival of Software program Defined Visualization (SDVis) is a seismic occasion in the visualization community as a result of it permits interactive, high-decision, photorealistic visualization of large knowledge without having to move the info off the compute nodes. In transit and in situ visualization are two methods that permit SDVis libraries such as Embree and OSPRay to render knowledge on the identical nodes that generate the info. In situ visualization renders data for visualization on the same computational nodes that perform the simulation.

In transit visualization lets customers tailor the render vs simulation workload by using a subset of the computation nodes for rendering. "The HPC group is getting into a new era in photorealistic, interactive visualization using SDVis," mentioned Dr. Paul Navrátil, director of visualization at TACC. The quad socket Intel Xeon Platinum 8280M massive memory Frontera nodes give scientists the power to interactively render and see important occasions (on account of CPU-based rendering) and - once more interactively - leap back in the data to look at what precipitated the essential event to happen. This interactive "instant replay" capability is enabled by the high core count, high-bandwidth (six Memory Wave channels per socket or 24 memory channels complete) of the TACC large memory 2.1 TB nodes. Jim Jeffers (senior principal engineer and senior director of superior rendering and visualization at Intel) has been a central mover and shaker in HPC visualization together with his work on SDVis and the Intel Embree and Intel OSPRay libraries.

He explains, "Optane Persistent Memory provides scientists with the memory capacity, bandwidth, and persistence options to allow a brand new degree of management and capability to interactively visualize massive data sets in actual time and with up to movie-quality fidelity. Scientists are ready to acknowledge or extra easily establish key occurrences and interactively step forward and backward in time to see and understand the scientific importance. David DeMarle (Intel laptop graphics software engineer) points out that the 2.1 TB memory capability in the Frontera massive memory nodes provides users the ability to maintain intensive histories of their OpenFOAM simulations in memory. Using software program, scientists can set off on an occasion, receive an alert that the occasion has happened, and then evaluate the causes of the occasion. Collisions, defined as an event the place multiple particles are contained in a voxel or 3D block in area, are one example of an necessary fluid flow occasion. Alternatives include triggers that occur when the strain exceeds or drops under a threshold in a voxel.

Memory capability is essential to preserving the simulation histories that assist scientists understand physical phenomena as fashionable techniques can simulate bigger, more advanced programs with greater fidelity. Protecting information within the persistent memory units delivers a efficiency enhance. DeMarle observes, "The runtime financial savings is very correlated to quantity of memory, which implies that the savings will scale to massive runs both when it comes to dimension and resolution." Scalable approaches are vital as we transfer into the exascale computing period. DeMarle and his collaborators used in situ methods to create their OpenFOAM visualizations and histories so the data doesn't have to move off the computational nodes. They referred to as the Catalyst library to perform the in situ rendering. Alternatively, customers can also carry out in situ visualization using the OpenFOAM Catalyst adapter. ParaView was used as the visualization tool. To regulate resource utilization, Catalyst calls the open-supply Intel memkind library. This offers two advantages: (1) the persistent Memory Wave focus enhancer capacity might be allocated to be used by the simulation (using Memory Mode) and (2) knowledge could be instantly written to the persistent memory gadgets using App Direct mode.