Age, Biography and Wiki
Olaf Storaasli was born on 15 May, 1943 in Philadelphia, Pennsylvania, is a computer. Discover Olaf Storaasli's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 80 years old?
| Popular As |
N/A |
| Occupation |
Computational Science & Engineering |
| Age |
81 years old |
| Zodiac Sign |
Taurus |
| Born |
15 May 1943 |
| Birthday |
15 May |
| Birthplace |
Philadelphia, Pennsylvania |
| Nationality |
United States |
We recommend you to check the complete list of Famous People born on 15 May.
He is a member of famous computer with the age 81 years old group.
Olaf Storaasli Height, Weight & Measurements
At 81 years old, Olaf Storaasli height not available right now. We will update Olaf Storaasli's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
| Physical Status |
| Height |
Not Available |
| Weight |
Not Available |
| Body Measurements |
Not Available |
| Eye Color |
Not Available |
| Hair Color |
Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
| Family |
| Parents |
Not Available |
| Wife |
Not Available |
| Sibling |
Not Available |
| Children |
Not Available |
Olaf Storaasli Net Worth
His net worth has been growing significantly in 2022-2023. So, how much is Olaf Storaasli worth at the age of 81 years old? Olaf Storaasli’s income source is mostly from being a successful computer. He is from United States. We have estimated
Olaf Storaasli's net worth
, money, salary, income, and assets.
| Net Worth in 2023 |
$1 Million - $5 Million |
| Salary in 2023 |
Under Review |
| Net Worth in 2022 |
Pending |
| Salary in 2022 |
Under Review |
| House |
Not Available |
| Cars |
Not Available |
| Source of Income |
computer |
Olaf Storaasli Social Network
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Timeline
1 Olaf Storaasli at the Mathematics Genealogy Project 2 State-of-the-Art in Heterogeneous Computing, Scientific Programming 18 pp. 1–33, IOS Press, 2010.(+PARA10) 3 High-Performance Mixed-Precision Linear Solver for FPGAs, IEEE Trans Computers 57/12, 1614–1623, 2008. 4 Accelerating Science Applications up to 100X with FPGAs, PARA08 Proc.Trondheim Norway, May 2008. 5 Computation Speed-up of Complex Durability Analysis of Large-Scale Composite Structures, AIAA 49th SDM Proc. 2008. 6 Accelerating Genome Sequencing 100-1000X MRSC Proc. Queen's University, Belfast, UK April 1–3, 2008. 7 Exploring Accelerating Science Applications with FPGAs, NCSA/RSSI Proc. Urbana, IL, July 20, 2007. 8 Performance Evaluation of FPGA-Based Biological Applications, Cray Users Group Proc. Seattle, May 2007. 9 Sparse Matrix-Vector Multiplication Design on FPGAs, IEEE 15th Symp on FCCM Proc., 349–352, 2007. 10 Computing at the Speed of Thought, Aerospace America pp. 35–38, Oct. 2004. 11 Preface: A Computational Scientist's Perspective on Appellate Technology, 15 J. App. Prac. & Process 39-46 2014.
He develops, tests and documents 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).
Storaasli received a B.A. in Physics, Mathematics & French (Concordia College, 1964), M.A. in Mathematics (USD,1966), Ph.D in Engineering Mechanics (NCSU, 1970) and post-doc fellowships: NTNU (1984–85), University of Edinburgh (2008).
Olaf O. Storaasli, Synective Labs VP, was a researcher at Oak Ridge National Laboratory (Computer Science and Mathematics Division's Future Technologies Group) and USEC following his NASA career. He led the hardware, software and applications teams' successful development of one of NASA's 1st parallel computers, the Finite element machine and developed rapid matrix equation algorithms tailored to high-performance computers (even harnessing FPGA accelerators) to solve science and engineering applications. He was PhD advisor and graduate instructor at UT, GWU and CNU and mentored 25 NHGS students. He is recognized by American Men and Women of Science, Marquis Who's Who, and NASA, Cray, Intel and Concordia College awards. NASA Awards include Viking Mars Lander design and Engineering Analysis (IPAD, RIM, HPC, FPGA, SPAR, FEM, Space Shuttle SRB and NASA Software-of-the-year).
