ARC hosted their second annual HPC day on April 6th at the Inn at Virginia Tech! For the agenda, the poster session winners, and for more information please click here.
Click here to view pictures of this event.
Alzheimers disease is a disease that causes loss of brain functions that are involved in memory, communication, and thought. The amyloid β-peptide (Aβ has been identified as the core component of protein aggregates in the brain of Alzheimer’s patients. The pathway by which Aβ leaves the cell membrane and self-associates is largely a mystery.
The lab of Dr. David Bevan, a faculty member of in the Biochemistry department at Virginia Tech, studies this peptide, with a focus on the association of Aβ with membranes. It is thought that small aggregates of Aβ cause toxicity by disrupting cell membranes. Preventing the formation of these aggregates is an approach that is being studied as way to treat Alzheimer’s disease. Experimental work has identified the dietary compounds that may bind to Aβ and inhibit the damaging effects of this peptide.
Part of the challenge is understanding what happens on the molecular level, and it is difficult to apply experimental techniques to find out this mechanism. “It is thought that the onset and the progression of Alzheimer’s are due to the aggregation of this particular peptide, and we are trying to understand the molecular mechanisms of the development of the disease,” explains Dr. Bevan.
“But with computational methods, we can see at the atomistic level the kinds of interaction and so on. This may lead to changes in the structure of amyloid beta peptide as well as factors that increase the propensity to aggregate.”
Computational simulations focus on understanding this effect with the goal of designing effective small molecule inhibitors of Aβ aggregation. The simulations are based on experiments using both in vitro and in vivo studies.
The research in Dr. Bevan’ laboratory is focused on molecular modeling as an approach to studying protein structure and function. During the period from January 2011 until May 2012, his lab used 6,000,000 CPU hours on Advanced Research Computing System’s (ARC’s) now-retired System X supercomputer.
On March 20, 2013, ARC launched a new large-scale machine, BlueRidge, which is comprised of 318 Intel Sandy Bridge nodes. With a total of 5,088 cores and 20 TB of memory, BlueRidge is ARC’s largest research computing system to date. Having access to Blue Ridge will help expand Dr. Bevan’s research going forward.
He hopes that in some point, his lab will begin to try to simulate the process of protein folding, which takes anywhere from milliseconds to a second depending on the size of the protein and the nature of its folding habit.
“I think with Blue Ridge, we will be able to do that, again by working with fairly small proteins or peptides, especially those that have very distinct protein structure folds, we can simulate the process when they go from extended form into the folded form.”
Recently, Dr. Bevan won the award for outstanding dissertation adviser in Science Technology, Engineering, and Mathematics. In addition, his graduate students, Justin Lemkul, a 2012 doctoral degree recipient in Biochemistry, and Nikki Lewis-Huff, a Ph.D. candidate in Bioinformatics and Computational Biology, have received several awards. Anne Brown, another graduate student from his lab, has been accepted into the College of Agriculture and Life Sciences Graduate Teaching Program.
He said that he tries to provide just enough mentoring to his students so they are able to develop their own ideas but do not get totally lost somewhere. “Giving them free reign, so they can conceive and develop their own ideas is important, because they are more enthusiastic about something they have thought about, and they want to see if they can actually perform it, in our case in simulations. When they have generated hypothesis, they want to develop that hypothesis further,”said Dr. Bevan
Other research projects in the Bevan lab are described on the Bevan Lab web site.
ARC’s partnership with Wireless@VT has recently yielded a new NSF grant for visualizing radio spectrum! Clickhere to read the article.
ARC’s collaborations with Computer Science faculty are highlighted in a recent, Microsoft commercial that is airing nation-wide: The VT article with links to the YouTube videos is here, showing Dr. Feng and hist students exploring MPIBlast results with the immersive, embodied and high-resolution displays of the Visionarium Lab.
In Fall of 2014, the Interdisciplinary Center for Applied Mathematics (ICAM) and ARC will offer a three-session short course on Parallel Computing with MATLAB as a part of the Virginia Tech Network Learning Initiatives (NLI) curriculum. The course will be taught by Dr. Eugene Cliff of ICAM in conjunction with Advanced Research Computing. Users can enroll through NLI here. Click here for course descriptions and registration information.
This spring, ARC will offer fifteen short courses through Virginia Tech Networked Learning Initiatives (NLI), formerly Faculty Development Institute (FDI). These courses will generally be held on Tuesday and Thursday afternoon from 2:00-3:15 in Torgersen 3060. Users can enroll through NLI here. Click here for course descriptions and registration information.
This fall, ARC will offer nine short courses through Virginia Tech Networked Learning Initiatives (NLI), formerly Faculty Development Institute (FDI). These courses will generally be held each Wednesday afternoon from 3:00-4:45 in Torgersen 3060. Users can enroll through NLI here. Click here for course descriptions and registration information.
Time and location: August 14-15, 2013, 9am-4pm, Torgersen 2150
NVIDIA will hold a two-day GPU-programming workshop, providing a crash course in heterogeneous computing ideal for both new and existing users of HokieSpeed. Lunch will be provided. Interested parties can register here. For more information, click here.
In March 2013, Virginia Tech’s Advanced Research Computing (ARC) released BlueRidge, providing faculty, staff, and students with the largest computing asset to date as measured by memory and number of cores. This Cray CS-300 cluster ranked number 402 on the November 2012 Top500 list, the industry-standard ranking of the world’s 500 fastest supercomputers, with a score of 86.3 teraflops, or 86.3 trillion floating point operations per second. This is more than eight times the computing power provided by System X, which put Virginia Tech on the supercomputing map in 2003.
BlueRidge, which was purchased through funding provided by Virginia Tech and the State of Virginia, is composed of 318 nodes (individual computers) each outfitted with two octa-core Intel Sandy Bridge central processing units (CPUs) and 64 gigabytes (GB) of memory. In addition, five nodes are equipped with 128 GB of memory for jobs that are especially memory intensive. The systemwide totals of 5,088 cores and 20.4 terabytes (TB) of memory are two and a half times as many cores and four times the memory of any other system at Virginia Tech. BlueRidge is also the first Sandy Bridge cluster at Virginia Tech, an important distinction as Sandy Bridge CPUs have the ability to do twice the number of double precision computations in a single cycle as their Intel Westmere predecessors.
The large number of cores available on BlueRidge will allow Virginia Tech researchers to run massively-parallel simulations, allowing them to tackle more complicated problems more quickly than they have before. And the system’s huge memory footprint will enable faculty to investigate the kinds of big data subjects that are increasingly the focus of attention in computationally-intensive arenas.
In addition, ARC is currently working on the addition of two Intel Xeon Phi coprocessors on 130 of the 318 nodes (260 Xeon Phi cards in all), with expected release of those nodes in Fall 2013. This architecture (also known as Many-Integrated-Core or MIC) is considered a significant development in high-performance computing, providing accelerated capability reminiscent of GPUs, but more integration with CPUs and compatibility with existing CPU programming paradigms (C/C++, Fortran, etc).
BlueRidge, the NSF-funded HokieSpeed CPU-GPU cluster, and the shared-memory system HokieOne provide researchers with a variety of options to address specific computing requirements arising from an array of research areas. All of these systems are housed in the university’s cooled, access-restricted machine room in the Corporate Research Center and maintained by ARC, a unit within the Office of the Vice President of Information Technology devoted to maintaining, advancing, and providing support to large-scale research computing systems in the university.
|Key Features, Uses||Large-scale computation|
|blueridge1 or blueridge2|
|Operating System||CentOS Linux 6|
|Theoretical CPU Peak (TeraFlops)||105.8|
|CPU Model||Intel Sandy Bridge|
|CPU Speed||2.60 GHz|
|Memory Size||20.4 TB|
*5 nodes have 128 GB (8 GB/core)
More information about BlueRidge can be found at the links below.