The leading science and technology university in the Spanish-speaking world, the Universidad Politécnica de Madrid (UPM), needed next-generation supercomputer capabilities to support ongoing research by computational scientists at the institution. It’s aging Magerit-2 supercomputer, built in 2011 on IBM Power architecture was replaced by Magerit-3, a 2,920-core cluster of Lenovo ThinkSystem servers using Intel® Xeon® Gold 6230 processors. The new supercomputer went into production in September 2019.
The Universidad Politécnica de Madrid (UPM) (Technical University of Madrid) supports a wide range of schools in engineering, architecture, computers, and science with over 40,000 students in undergraduate, graduate, and Ph.D. programs. In 2004, UPM expanded resources available to researchers with the creation of the Centro de Supercomputación y Visualización de Madrid (CeSViMa) (Supercomputing and Visualization Center of Madrid), which offers High Performance Computing (HPC) and interactive visualization services using specialized software for engineering, energy, and the environment. According to Oscar Cubo Medina, Technical Director for CeSViMa, the center provides supercomputing services across all the schools at UPM, plus for scientists at associated research institutions such as Instituto de Fusión Nuclear, a center at UPM devoted to nuclear fusion and fission research and in high energy excitation; and Instituto de Energía Solar, where next-generation materials for lowest-cost and more efficient solar panels are studied.
CeSViMa hosts one of the most powerful supercomputers in Spain, named Magerit. Meaning ‘place of many waters’, Magerit is the ancient Arabic name for Madrid. Magerit has provided HPC and general computing services for over a decade through three phases. Magerit-1 was built in 2006 by IBM on their Power architecture. Magerit-2 expanded the supercomputer’s capabilities in 2011. Magerit-3 went into production in September of 2019.
Since Magerit-2 was deployed, some researchers at UPM have advanced their methods and computational needs to where they have outgrown the capabilities of their HPC resources. Eduardo Oliva Gonzalo is a postdoctora researcher within the Instituto de Fusión Nuclear. He studies the interaction of lasers and plasmas and is specifically interested in the amplification of X-rays.
“You cannot do this kind of research on small clusters,” said Oliva Gonzalo. He had been working on much smaller computational systems, including homemade Beowulf clusters. “The challenges I face are multi-scale. I need to simulate millimeters or centimeters of plasmas but at high resolution (up to tens of nanometers). You need HPC to do that.”
Fellow scientists Antonio Rivera and Ovidio Peña Rodríguez use HPC simulation for research into plasmonic nanoparticles and the effects of intensive electronic excitation on materials, especially those used in nuclear environments. They use a range of physics and molecular dynamic codes that are computationally intensive.
“Historically, our supercomputing simulations could take a week to complete,” stated Rivera.
“Some of the calculations we need to do could not be done on Magerit-2,” added Peña Rodríguez.
Other researchers, such as Pablo Palacios and Pablo Sanchez-Palencia from the Instituto de Energía Solar, need supercomputing for theoretical modeling of new materials made from perovskites for photovoltaic solutions. Perovskites are considered the future of solar technology. Perovskite-based solar cells are cheaper and easier to manufacture than silicon-based materials, but they are less stable. Palacios and Sanchez-Palencia are working on the study of new combinations of perovskites with different metals to create photovoltaic materials with greater stability.
With advances in research areas, simulation codes, and processes, by 2018, it was time for a new Magerit.
Magerit-3 was built by Lenovo using their ThinkSystem SD530 two-socket servers. A total of 68 ThinkSystem SD530s provides 2,920 cores from Intel Xeon Gold 6230 processors. Magerit-3 delivers 182.78 teraFLOPS of Rpeak performance.
“We are probably one of the largest users of Magerit,” said José Manuel Perlado, Chair of Nuclear Physics and Director of Instituto Fusión Nuclear. “We mainly do work within nuclear fission and fusion, but many of our codes and research are applicable to other areas where high density physics must be studied.”
According to Perlado, researchers run many very computationally demanding codes that require both large processing capability and large amounts of memory. Some codes cannot be parallelized. Magerit-3 is instrumental in advancing the research of scientists at the Institute, according to Perlado.
Perovskites analysis workflow: from crystal structure to optical properties. The first steps towards design of more efficient solar devices. (Photo courtesy IES group, UPM)
To support advanced research by scientists at UPM, including associated research institutions and other institutions in Spain, the University needed to deploy next-generation HPC capabilities. Magerit-3, a 2,920-core supercomputer built on Lenovo ThinkSystem SD530s with Intel Xeon Gold 6230 processors, was deployed and put into production in September of 2019. And according to the university, it provides nearly 183 teraFLOPS of supercomputing performance, accelerating codes by as much as 5X.1
Magerit-3 Supercomputer managed by Supercomputing and Visualization Center of Madrid (CeSViMa). (Photo courtesy UPM)
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- Built by Lenovo with 68 ThinkSystem SD530 two-socket servers
- Intel Xeon Gold 6230 processors with 20 cores each (2,920 cores total)
- 192GB memory, 480 GB Intel SSDs per node (13.056 PB total)
- 182.78 TFLOPS Rpeak performance