Tags: Memory

All Categories (1-13 of 13)

  1. Abdelmalek Benkouider

    Over five years of experience in scientific research within academic institutes and industrial R&D departments, with strong theoretical and experimental skills in nanotechnology. Demonstrated...


  2. Comparisons of macrospin and OOMMF simulations

    26 Jan 2010 | 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. KrivorotovShould be read and cited in conjunction withhttp://arxiv.org/abs/1001.4578

  3. Esteve Amat


  4. Illinois 2012: Aravind Alwan: Design and simulation of Microsystems

    02 May 2012 | | Contributor(s):: Aravind Alwan, Nadia Jassim

  5. Illinois 2012: Aravind Alwan: Industry/Advisor

    02 May 2012 | | Contributor(s):: Aravind Alwan, Nadia Jassim

  6. Illinois 2012: Feng Xiong: Industry/Advisor

    02 May 2012 | | Contributor(s):: Feng Xiong, Nadia Jassim

  7. Illinois 2012: Feng Xiong: Phase Change Memory

    02 May 2012 | | Contributor(s):: Feng Xiong, Nadia Jassim

  8. Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 9: Memory Hardware in G80

    30 Aug 2009 | | Contributor(s):: Wen-Mei W Hwu

    Memory Hardware in G80Topics: CUDA Device Memory Space Parallel Memory Sharing SM Memory Architecture SM Register File Programmer view of Register File Matrix Multiplication Example More on Dynamic Partitioning ILP vs. TLP Memory Layout of a Matrix in C Constants Shared Memory Parallel Memory...

  9. Memristor Simulation Tool

    05 Oct 2009 | | Contributor(s):: Yuan Shen, Sansiri Tanachutiwat, Wei Wang

    Simulate resistance change of a Voltage-controlled Memristor

  10. Panagiotis Dimitrakis

    Dr. Panagiotis Dimitrakis received the B.Sc. and the M.Sc. degrees in Physics from the National and Kapodistrian University of Athens, Greece, in 1996 and 1998 respectively and Ph.D. degree from...


  11. san k p


  12. Sun


  13. [Illinois] MCB 493 Lecture 4: Covariation Learning and Auto-Associative Memory

    21 Feb 2013 | | 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.