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Olaf Storaasli

Olaf O. Storaasli is a scientist & engineer who worked at NASAhttps://larcalumni.org/about-the-laa/), Oak Ridge National Laboratoryhttps://www.ornl.gov/group/ft), Centrus Energy, & Synective Labs. At NASA, he led a hardware, software & applications teams to successfully develop one of NASA's first parallel computers, the finite element machine, & developed rapid matrix equation algorithms tailored for high-performance computers to harness FPGA & GPU accelerators to solve science & engineering applications. He was a graduate advisor & instructor at the University of Tennessee, George Washington University & Christopher Newport University.

Education

Storaasli received a B.A. in physics, mathematics, & French at Concordia College (1964). He went on to earn an M.A. in mathematics at University of South Dakota (1966) and a Ph.D. in engineering mechanics at NCSU (1970). He was a postdoctoral fellow at the Norwegian University of Science & Technology (https://web.archive.org/web/20180117131542/http://73.121.39.212:8080/~olaf/OS/www/nasa/Thompson.jpg (1984–85]) & the University of Edinburgh(2008).

Research

He developed, tested and documented parallel analysis software to speed matrix equation solution to simulate physical & biological behavior on advanced-computer architectures (e.g. NASA's GPS solver based on prior Finite element machine and rapid parallel analysis of Space Shuttle SRB redesign earned Cray's 1st GigaFLOP Performance Award at Supercomputing '89).

Books

  • Engineering Applications on NASA's FPGA-based Hypercomputer, 7th MAPLD, Washington, D.C., Sept 2004.
  • Large-Scale Analysis, Design and Intelligent Synthesis Environments, Elsevier Sciences, 2000.
  • Large-Scale Analysis & Design on High-Performance Computers & Workstations, Elsevier Sciences, 1998.
  • Large-Scale Structural Analysis for High-Performance Computers & Workstations, Pergamon Press 1994.
  • Parallel Computational Methods for Large-Scale Structural Analysis & Design, Pergamon Press 1993.
  • Parallel Methods on Large-Scale Structural Analysis & Physics Applications, Pergamon Press 1991.

References

1 Olaf Storaasli at the Mathematics Genealogy Project<br> 2 State-of-the-Art in Heterogeneous Computing , Scientific Programming 18 pp.&nbsp;1–33, IOS Press, 2010.(+PARA10)<br> 3 High-Performance Mixed-Precision Linear Solver for FPGAs, IEEE Trans Computers 57/12, 1614–1623, 2008.<br> 4 Accelerating Science Applications up to 100X with FPGAs, PARA08 Proc.Trondheim Norway, May 2008.<br> 5 Computation Speed-up of Complex Durability Analysis of Large-Scale Composite Structures, AIAA 49th SDM Proc. 2008.<br> 6 Accelerating Genome Sequencing 100-1000X MRSC Proc. Queen's University, Belfast, UK April 1–3, 2008.<br> 7 Exploring Accelerating Science Applications with FPGAs, NCSA/RSSI Proc. Urbana, IL, July 20, 2007.<br> 8 Performance Evaluation of FPGA-Based Biological Applications, Cray Users Group Proc. Seattle, May 2007.<br> 9 Sparse Matrix-Vector Multiplication Design on FPGAs, IEEE 15th Symp on FCCM Proc., 349–352, 2007.<br> 10 Computing at the Speed of Thought, Aerospace America pp.&nbsp;35–38, Oct. 2004.<br> 11 Preface: A Computational Scientist's Perspective on Appellate Technology, 15 J. App. Prac. & Process 39-46 2014.<br> 12 before 2008.<br> 13. Interview with Astronaut Charlie Camarda.

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