About the LMVL The LMVL is located in room 125 in Walter Library. It is set up for high definition presentations and interactive graphical analyses of very large or complex systems and data through the use of high performance networking, storage, and computational resources. The LMVL systems are...
Professor Vipin Kumar (Head, Computer Science and Engineering ; MSI Fellow ) was featured in the Office of the Vice President for Research’s Annual State of Research Report. VP Brian Herman presented this report to the University Regents in December 2014. Professor Kumar was the recipient of an...
<h3 class="red">Sparse Coding for Fast Approximate Nearest Neighbors</h3><p>These researchers are investigating a new indexing method using sparse coding for fast approximate nearest neighbors (NN) on high-dimensional image data. NN is a fundamental problem in computer science and is used as a core algorithmic component in computer vision applications such as image search, visual surveillance, image registration, etc. Inspired by the recent advances in signal processing and compressive sensing, the idea behind this project is to sparse code each data point using a learned basis dictionary. Indices of the dictionary’s support sets are used to generate one compact identiﬁer for each data point. This generates a small code for each data point, which has fast storage and retrieval using a hash-table mechanism. Typically, most real world datasets worked with in computer vision consist of billions of high dimensional data points, and demand large computational and storage resources for the learning and coding phases. This requires the use of high-performance computing resources.</p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/46ad231d33c226858369c77b5eefa36a/10036">main page</a>.</p>
The quest for potential new drugs and molecules that can serve as probes of biochemical processes is a major effort at the University of Minnesota. At the Institute for Therapeutics Discovery and Development (ITDD), directed by internationally known medicinal chemist Professor Gunda I. Georg,...
<h3 class="red">Disaggregated Analysis of Food Insecurity and Violence</h3><p>This research analyzes the effect of food security on civil conflict and atrocities against civilians. Specifically, the researchers intend to build a model analyzing how staple crop production at the cell level (i.e. a "square" of 55km x 55km around the equator), under theoretically important political and social conditions, determines variation in access to food which, in turn, produces outbreaks of conflicts and violence toward civilians. To account for the dependencies that exist in such longitudinal high resolution geographic data, the researchers employ a Bayesian hierarchical framework to estimate the effect of localized factors on violence.</p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/3a1817bd613fd3cc59e227cda43f1791/10944">main page</a>.</p>
<p> </p> <p><strong>Minnesota Congenital Heart Network</strong></p> <p>The Minnesota Congenital Heart Network is a group of clinical researchers, informatic analysts, and statisticians that work together to find ways to decrease complications following heart surgery. Because congenital heart disease (CHD) is relatively rare compared to heart disease or diabetes, multiple hospitals must be used to have enough patients to enroll in studies. Therefore, the Mayo Clinic and the University of Minnesota are combining their patient populations to investigate interventions that may improve long-term outcome for children with CHD. </p>
Overview Individuals from MSI , UAB , RedHat Inc. , Intel Corp ., CADRE , and MIMOS came together at SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis on Wednesday, November 18, 2015 in Austin, TX to share their experiences with Ceph in HPC...
Training available for students in US, Europe, and Japan at International Summer School on HPC Challenges in Computational Sciences Graduate students and postdoctoral scholars in the United States, Europe, and Japan are invited to apply for the fourth International Summer School on HPC Challenges...
<h3 class="red">Performance Evaluation of Storage Systems</h3><p>This group has focused their research on the design and evaluation of large-scale storage systems. They have investigated the impact of NV-RAM on future computing and communication environments, and how to design and evaluate large scale Solid State Drives (SSD) and Shingled Magnetic Recording (SMR) drives. They are especially interested in I/O workload analyses for many emerging applications like Big Data or real-time video and audio streaming, and high-performance computing (like Lustre file system).</p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/b535505ec58fdc7a766edfcd6db2e571/12500">main page</a>.</p><p> </p>
The research group of Professor Steven Girshick ( MSI Fellow ; Mechanical Engineering ) uses MSI to support their development of computational models of gas plasmas in which nanoparticles nucleate and grow. These plasmas have industrial applications, such as semiconductor processing and materials...