Background and activities

PhD EE Cornell University 1994, Pre-Business U of Oregon 1981/82, IEEE Senior Member 2000

Courses in "Management Competence at Board Level" (BI 2007) and completed NTNU's Research Leadership Programme (Oct 2011-Feb 2012)

Latest news:

Founder and Director – HPC-Lab, Dept. of Computer & Info. Science NTNU, which I started as my research group when I joined NTNU in 2001, and founded as a lab in 2008. We are now an established research lab in Heterogeneous and Parallel Computing, consisting of myself, several Post Docs, PhD students and Master students as well as both national and international visiting colleagues and scientists who want to learn about and experiment with heterogeneous computing.

 

EU Horizon2020 ICT FEIT 2014 Proposal: CloudLightning: Self-Organizing, Self-Managed Heterogeneous Clouds, 

John Morrison, Cork University Collage, Ireland (Coordinator), Anne C Elster (main co-PI) + 5 more partners.  NTNU is largest partner aside from coordinator and receives ca. 16% of the Euro 3.9 million budget.                                                                  

The project is developing self-organization and management of cloud services to enable efficient access to heterogeneous resources. The resources are exploited to reduce application development efforts. The aim is to make optimizations easier and to simplify service deployment. I lead a work package on characterizing and capturing behavior of several resource co-processor types including: GPUs (Graphics Processing Units),  MICs (e,g, Intel Xeon Phi) , and DFEs (Maxeler FPGA-based DataFlow Engine). Dr. Elster is also the overall project's Quality and Risk Manager

 

I have been or am the main advisor for several studentsand have been co-advisor, Opponent and EU evaluator for many more. I have also so far been the main advisor for more than 70 master students at NTNU, over 30 of them on project related to GPU computing.

 

Teaching:  I love teaching! Here are some of the main courses I am or have been involved with:

UT Austin: Algorithms, Data Structures, Operating Systems and Iterative Numerical Methods

NTNU: Parallel Computing, Compilers, Operating Systems, + 3 special topics MS/PhD courses covering parallel environments, numerical methods, heterogeous and grid computing and highly parallel algorithms.

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications