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Comparisons of macrospin and OOMMF simulations
26 Jan 2010 | Presentation Materials | Contributor(s): Dmitri Nikonov, George Bourianoff
Plots of switchign time of nanomagnets by spin torque calculated by macrospin model and micromagnetic tool OOMMF, compared side-by-side.
D. E. Nikonov, G. I. Bourianoff, G. Rowlands, I. N....
Illinois 2012: Aravind Alwan: Design and simulation of Microsystems
02 May 2012 | Online Presentations | Contributor(s): Aravind Alwan, Nadia Jassim
PhD candidate, Aravind Alwan, discusses his research in Microsystems at the University of Illinois at Urbana-Champaign (UIUC).
Mr. Alwan's advisor is Dr. Narayana R. Aluru. Dr. Aluru is a...
Illinois 2012: Aravind Alwan: Industry/Advisor
PhD candidate, Aravind Alwan, discusses the role of his advisor, Dr. Narayana R. Aluru. Mr. Alwan goes on to explain the considerations for industry in his research at the University of Illinois...
Illinois 2012: Feng Xiong: Industry/Advisor
02 May 2012 | Online Presentations | Contributor(s): Feng Xiong, Nadia Jassim
PhD candidate, Feng Xiong, discusses his experience working with Dr. Eric Pop, Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC). Mr. Xiong goes on to explain the role...
Illinois 2012: Feng Xiong: Phase Change Memory
PhD candidate, Feng Xiong, discusses his research at the University of Illinois at Urbana-Champaign (UIUC). Mr. Xiong's research advisor is Dr. Eric Pop.
Dr. Pop is in the department of...
Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 9: Memory Hardware in G80
30 Aug 2009 | Online Presentations | Contributor(s): Wen-Mei W Hwu
Memory Hardware in G80
CUDA Device Memory Space
Parallel Memory Sharing
SM Memory Architecture
SM Register File
Programmer view of Register File
Memristor Simulation Tool
15 Nov 2009 | Tools | Contributor(s): Yuan Shen, Sansiri Tanachutiwat, Wei Wang
Simulate resistance change of a Voltage-controlled Memristor
san k p
[Illinois] MCB 493 Lecture 4: Covariation Learning and Auto-Associative Memory
29 Oct 2013 | Online Presentations | Contributor(s): Thomas J. Anastasio
Networks with recurrent connection weights that reflect the covariation between pattern elements can dynamically recall patterns and simulate certain forms of memory.