User Information
Principal Investigators
The Principal Investigators who have been using LSU's or LONI's HPC resources are highlighted here.
Users' Reseach Project Highlights
HPC@LSU and LONI specifically seeks out computationally intensive, large-scale research projects with the potential to significantly advance key areas in science and engineering. We encourage large allocation proposals from universities, research institutions, and national labs. Our user community continues to expand, with current research applications in Chemistry, Biochemistry, Physics, Astronomy, Chem/Elec/Mech Engineering, Atmospheric/Earth/Ocean Science, Material Science, Math and Computer Science. Accomplishments from various applications are highlighted in project summaries available here.
Users' Publications
To highlight users' achievements and accomplishments by using HPC resources, we are listing users' publications where LSU's or LONI's HPC resources were used to support said research. Click Here
User Meetings
Users are invited to attend the Compute Policy Meeting held every Friday at 10AM in Frey 307.
In addition, there are periodic Users' Meetings held to present new information about the systems and to allow users to ask questions.
High Performance Computing Week
LSU Information Technology Services, LSU Center for Computation & Technology, Louisiana Optical Network Initiative (LONI) and the Louisiana Alliance for Simulation-Guided Materials Applications (LA-SiGMA) are pleased to announce the 2nd Annual High Performance Computing (HPC) Week from June 10th through June 15th, 2013.
2nd Annual LONI Parallel Programming Workshop, June 10th - June 12th in 307 Frey CSC
This workshop will first introduce users to the concepts of Parallel Programming, then cover how those concepts apply to solving problems frequently encountered in numerical studies such as matrix-matrix multiplication, using various parallel programming techniques such as OpenMP, OpenACC and MPI. It will target both CPU and GPU architectures. This workshop will be hands-on oriented, so the attendants should have prior knowledge on programming, C/C++ or Fortran is preferred.
Click here for more details.
2nd Annual High Performance Computing User Symposium, June 12th - June 13th in Life Sciences Annex
The Symposium will consists of a series of invited talks and a poster session discussing research using HPC systems. The symposium is open to all, with the hope of engendering cross-discipline communication and exchange of methods and experiences.
This is an opportunity for the user community to come together and share experiences and methods. Anyone interested in HPC is more than welcome to come by and find out how HPC systems are utilized in research at LONI member institutions.
All participants are encouraged to present a poster displaying your recent work using HPC resources. Participants who are not HPC users or are prospective HPC users are encouraged to present work that can benefit from using HPC resources. This is an opportunity to meet our user community and foster collaborations.
Click here for more details.
Scientific Visualization with VisIt, Mathematica, and ImageJ, June 14th - June 15th in 307 Frey CSC
The objective is an understanding of the procedure for converting a series of 2D images into 3D images, movies, and fly-throughs. This is the basis of the medical CT scan, industrial non-destructive testing, and much of scientific visualization. The second objective is introduction to two software packages---ImageJ and VisIt---that are both extremely powerful, will run on your laptop, and are free. When finished with this course, you should be able to perform visualizations of 3D data sets when provided with data in open access formats such as raw binary, stacked TIFF, and HDF5. You will run Mathematica notebooks in class as we discuss: (a) 2D image sequences into 3D volumes, (b) histograms and binarization, (c) image transformations such as Gaussian filtering, distance transform, and watershed transform, (d) connected component analysis, and (e) simple movie making.
Using the VisIt visualization software, we’ll teach students visualize large scale datasets in distributed mode so that the expensive computation runs on high performance computing clusters. Students will have take-away visit-python scripts to do: pseudo-color, histogram, volume rendering, isosurface, orthoslices, volume re-sample, sub-volume selection, and movie making. These visit-python scripts can be submitted to HPC resources for batch processing and the result images will be saved and retrieved back for user inspection.
Click here for more details.
Users' Survey
The 2012 HPC User Satisfaction Survey will be open for comments from 15 May to 15 Jul 2012. Please visit the page: 2012 HPC Users Satisfaction Survey to let us know your thoughts on our service.