From: <ÓÉ Microsoft Internet Explorer 5 ±£´æ>
Subject: CMOS Design - Memories
Date: Thu, 3 Apr 2008 11:54:06 +0800
MIME-Version: 1.0
Content-Type: multipart/related;
	type="text/html";
	boundary="----=_NextPart_000_00D0_01C89581.6B8D6ED0"
X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3138

This is a multi-part message in MIME format.

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML lang=3Den><HEAD><TITLE>CMOS Design - Memories</TITLE>
<META http-equiv=3DContent-Type content=3D"text/html; =
charset=3DISO-8859-1"><LINK=20
href=3D"https://intranet.insa-toulouse.fr/view/422/content/style.css"=20
type=3Dtext/css rel=3Dstylesheet>
<META content=3D"MSHTML 6.00.2900.3157" name=3DGENERATOR></HEAD>
<BODY>
<TABLE class=3Dheader cellSpacing=3D0 cellPadding=3D0 width=3D"100%" =
border=3D0>
  <TBODY>
  <TR vAlign=3Dtop>
    <TD>CMOS Design &gt; Memories</TD>
    <TD align=3Dright width=3D46><A=20
      =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/static_ram.htm=
l"><IMG=20
      height=3D16 alt=3DPr=E9cedant=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/previous=
.gif"=20
      width=3D18 border=3D0></A>&nbsp;<A=20
      =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/dynamic_ram.ht=
ml"><IMG=20
      height=3D16 alt=3Dsuivant=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/next.gif=
"=20
      width=3D18 border=3D0></A></TD></TR></TBODY></TABLE>
<HR>

<H1>A 64 Bit Static RAM</H1>
<DIV class=3Dsummary>
<UL>
  <LI><A=20
  =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html=
#row_select">Row=20
  Selection Circuit</A>=20
  <LI><A=20
  =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html=
#column_select">Column=20
  Selection Circuit</A>=20
  <LI><A=20
  =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html=
#complete_sram">A=20
  Complete 64 bit SRAM</A>=20
  <LI><A=20
  =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html=
#precharge">Precharge=20
  Circuit</A>=20
  <LI><A=20
  =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/64bit_ram.html=
#analog_amp">Analog=20
  Amplifier</A> </LI></UL></DIV><!-- End of div.summary -->
<H2><A id=3Drow_select name=3Drow_select>Row Selection Circuit</A></H2>
<P>The row selection circuit decodes the row address and activates one =
single=20
row. This row is shared by all word line signals of the row. The row =
selection=20
circuit is based on a multiplexor circuit. One line is asserted while =
all the=20
other lines are at zero.</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D263 alt=3D" "=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory15=
.png"=20
      width=3D527></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-33:</STRONG> The row selection =

    circuit</TD></TR></TBODY></TABLE><BR><BR>
<P>In the row selection circuit for the 16x4 array, we simply need to =
decode a=20
two-bit address. Using AND gates is one simple solution. In figure =
10-34, we=20
present the schematic diagram of 2-to-4 and 3-to-8 decoders. In the case =
of very=20
large number of address lines, the decoder is split into sub-decoders, =
which=20
handle a reduced number of address lines.</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D391 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory16=
.png"=20
      width=3D515></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-34:</STRONG> The row selection =
circuit=20
      in 2 bit and 3 bit =
configuration</TD></TR></TBODY></TABLE><BR><BR><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D577 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory17=
.png"=20
      width=3D529></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-35:</STRONG> The 6-bit row =
selection=20
      circuit using groups of 3 bits</TD></TR></TBODY></TABLE><BR><BR>
<P>The 6-bit decoder of figure 10-35 is built from two stages of 3-bit =
decoders.=20
A total of 64 word lines are generated using this circuit. All word =
lines have=20
not been shown for clarity. The row selection circuit loads a very =
significant=20
capacitance, which is the sum of <EM>Word Bit</EM> of each elementary =
memory=20
cell. Consequently, the AND gate is designed using a NAND gate followed =
by a=20
strong buffer (Figure 10-36).</P><BR>
<TABLE class=3Dtable1 width=3D520 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D235 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory18=
.gif"=20
      width=3D513></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-36:</STRONG> Buffering the =
word line=20
      command</TD></TR></TBODY></TABLE><BR><BR>
<P>The Row Selection circuit height should be adjusted to that of the =
RAM cell=20
height. When making the final assembly between blocks, the command =
<STRONG>Edit=20
&gt; Move Step by Step</STRONG> is very useful. This command helps to =
move a=20
selected block with a lambda step (Figure 10-37).</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D88 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory19=
.gif"=20
      width=3D112></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-37:</STRONG> Moving a portion =
of=20
      layout step by step</TD></TR></TBODY></TABLE><BR><BR>
<P>The row selection layout has the particularity to be very regular. It =

encrypts a binary pattern through the addition of contacts, as =
illustrated in=20
figure 10-38. The binary encoding can be realized in a semi-automatic =
way in=20
Microwind. The idea is to create a pattern consisting of a vertical =
metal box=20
(Address lines), crossing an horizontal metal2 box, and a via to create =
to build=20
an electrical link between these two nodes. The basic pattern is =
duplicated 6=20
times in X and 3 times in Y for each <EM>word line</EM> circuit. The via =
layer=20
is copied only if a physical layer is needed at the intersection between =

vertical address lines and horizontal interconnects. The copying of the =
via is=20
controlled by a Boolean table sown in figure 10-39.</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D295 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory20=
.png"=20
      width=3D526></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-38:</STRONG> The address uses =
contacts=20
      on selected address lines to program the word line according to =
each=20
      address</TD></TR></TBODY></TABLE><BR><BR>
<P>The data matrix is filled by zeros and ones. A zero indicates that no =
via=20
will be generated, a one indicates that the via will be copied. The tick =

<EM>Assign data</EM> must be asserted, and the via box must be chosen in =
this=20
case. In the Boolean matrix, the "0" ma be changed into a "1" by a =
double click=20
at the desired location.</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D363 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory21=
.gif"=20
      width=3D488></TD></TR>
  <TR>
    <TD><IMG height=3D162 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory22=
.gif"=20
      width=3D524></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-39:</STRONG> Generating the =
matrix of=20
      contacts using the Duplicate XY =
command</TD></TR></TBODY></TABLE><BR><BR><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D256 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory23=
.png"=20
      width=3D528></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-40:</STRONG> The decoder =
circuit and=20
      its link to the memory array</TD></TR></TBODY></TABLE><BR><BR>
<P>The aspect of the row decoder circuit is shown in figure 10-40. At =
the left=20
side, we recognize the regular interconnect matrix and its associated =
via. In=20
the middle, the 3-input NAND gate and a buffer are designed, with the=20
appropriate whirring and supply connections to fit exactly with the =
rigid layout=20
of the static RAM cell.</P><BR><BR>
<H2><A id=3Dcolumn_select name=3Dcolumn_select>Column Selection =
Circuit</A></H2><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D284 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory24=
.gif"=20
      width=3D433></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-41:</STRONG> The column =
selection=20
      circuit principles</TD></TR></TBODY></TABLE><BR><BR>
<P>The column decoder selects a particular column in the memory array =
for=20
reading the contents of the selected memory cell (Figure 10-41) or to =
modify its=20
contents. The column selector is based on the same principles as those =
of the=20
row decoder. The major modification is that the data flows both ways, =
that is=20
either from the memory cell to the <EM>DataOut</EM> signal (Read cycle), =
or from=20
the <EM>DataIn</EM> signal to the cell (Write cycle). </P>
<P>Figure 10-42 proposes an architecture based on n-channel MOS pass=20
transistors. We consider here 4 columns of memory cells, which requires =
2=20
address signals <EM>Address_Col[0]</EM> and <EM>Address_Col[1]</EM>. The =

n-channel MOS device is used as a switch controlled by the column =
selection.=20
When the nMOS is on and <EM>Write</EM> is asserted, (Figure 10-42) the =
DataIn is=20
amplified by the buffer, flows from the bottom to the top and reaches =
the memory=20
through <EM>BL</EM> and <EM><STRONG>~BL</STRONG></EM>. If <EM>Write</EM> =
is off,=20
the 3-state inverter is in high impedance, which allows one to read the=20
information on <EM>DataOut.</EM></P><BR>
<TABLE class=3Dtable1 width=3D520 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D262 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory25=
.gif"=20
      width=3D512></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-42:</STRONG> Row selection and =

      Read/Write circuit</TD></TR></TBODY></TABLE><BR><BR>
<P>In many cases, the <EM>DataIn</EM> and <EM>DataOut</EM> signals have =
a wide=20
format, usually 8 or 16 bits. In the schematic diagram of figure 10-43, =
the=20
<EM>DataIn</EM> and <EM>DataOut</EM> bus is 2-bit wide. Only one address =
line=20
<EM>Address_Col[0]</EM> is required to select the appropriate columns. =
From a=20
layout point of view, the nMOS transistors should fit the narrow width =
of the=20
memory cell. This is usually done by stacking <EM>BL</EM> and<EM> =
~BL</EM> pass=20
MOS devices on the top of each other. Furthermore, the pass transistors =
should=20
be designed with a large width to avoid any bad surprise at the write=20
cycle.</P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D279 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory26=
.gif"=20
      width=3D524></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-43:</STRONG> Row selection and =

      Read/Write circuit with a 2-bit DataIn and DataOut=20
  information</TD></TR></TBODY></TABLE><BR><BR>
<H2><A id=3Dcomplete_sram name=3Dcomplete_sram>A Complete 64 bit =
SRAM</A></H2>
<P>The 64 bit SRAM memory interface is shown in figure 10-44. The 64 =
bits of=20
memory are organized in words of 4 bits, meaning that <EM>DataIn</EM> =
and=20
<EM>DataOut</EM> have a 4 bit width. Each data <EM>D0..D15</EM> occupies =
4=20
contiguous memory cells in the array. Four address lines are necessary =
to decode=20
the one address among 16. The memory structure shown in figure 10-44 =
requires=20
two address lines <EM>A0</EM> and <EM>A1</EM> for the word lines=20
<EM>WL[0]..WL[3]</EM> and two address lines <EM>A2</EM> and <EM>A3</EM> =
for the=20
bit line selection. The final layout of the 64 bit static RAM is =
proposed in=20
Figure 10-45. </P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D196 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory27=
.gif"=20
      width=3D527></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-44:</STRONG> The architecture =
of the=20
      64 bit RAM</TD></TR></TBODY></TABLE><BR><BR><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D567 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory28=
.gif"=20
      width=3D527></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-45:</STRONG> The complete RAM=20
  layout</TD></TR></TBODY></TABLE><BR><BR>
<H2><A id=3Dprecharge name=3Dprecharge>Precharge Circuit</A></H2>
<P>Safe read and write operations require a modification of the memory =
array and=20
timing sequence, based on a precharge circuit. The usual voltage of =
precharge is=20
VDD/2. Before reading or writing to the memory, the bit lines are tied =
to VDD/2=20
using appropriate pass gates. When reading, the <EM>BL</EM> and =
<EM>~BL</EM>=20
diverge from VDD/2 (Figure 10-48) and reach the "1" and "0" levels after =
a short=20
time. As the static RAM cells are based on active devices (Two ring =
inverters),=20
the SRAM memories usually provide the fastest read and write access=20
times.</P><BR>
<TABLE class=3Dtable1 width=3D520 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D212 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory29=
.gif"=20
      width=3D512></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-48:</STRONG> Read cycle using =
a=20
      precharge circuit</TD></TR></TBODY></TABLE><BR><BR>
<P>A simple precharge circuit consists of a n-channel MOS or p-channel =
MOS (Both=20
switch the voltage VDD/2 without degradation). The drain is connected to =
VDD/2,=20
the source to the bit line (Figure 10-49).</P><BR>
<TABLE class=3Dtable1 width=3D520 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D391 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory30=
.gif"=20
      width=3D517></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-49:</STRONG> Connecting a =
precharge=20
      circuit to all bit lines</TD></TR></TBODY></TABLE><BR><BR>
<H2><A id=3Danalog_amp name=3Danalog_amp>Analog Amplifier</A></H2>
<P>To further speed up the read process, analog amplifiers are used. The =
tiny=20
difference is rapidly converted into a logic level, without waiting =
until=20
<EM>BL</EM> and <EM>~BL</EM> reach their final voltage (Figure =
10-50).</P><BR>
<TABLE class=3Dtable1 width=3D460 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D225 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory31=
.gif"=20
      width=3D451></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-50:</STRONG> Shorter read =
acess time=20
      thanks to a precharge circuit</TD></TR></TBODY></TABLE><BR><BR>
<P>The two commonly used operational amplifier designs are shown in =
figure=20
10-51. The first amplifier is a current mirror amplifier (See chapter 11 =
for=20
more details on this circuit). When <EM>Enable</EM> is on, the =
<EM>DataOut</EM>=20
signal saturates either to a low or high level, depending on the voltage =

difference V<SUB>BL</SUB>-V<SUB>~BL</SUB>. An alternative design for the =

operational amplifier is also proposed. The positive feedback in the =
amplifier,=20
that is the cross-coupled link between <EM>DataOut</EM> and the pMOS =
device=20
permits faster sense operation than the basic circuit. </P><BR>
<TABLE class=3Dtable1 width=3D530 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D217 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory32=
.gif"=20
      width=3D525></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-51:</STRONG> Very short read =
access=20
      time thanks to an operational =
amplifier</TD></TR></TBODY></TABLE><BR><BR>
<P>The complete logic circuit including the <EM>Write/Read</EM> control, =

precharge and sense amplifier is shown in figure 10-52. When the =
precharge is=20
active, all bit lines are charged to VDD/2, while all word lines are =
low. When=20
the precharge is turned off, one of the world lines (<EM>WL</EM>) is =
active. A=20
write operation (<EM>Write/Read</EM>=3D1) forces <EM>BL</EM> and =
<EM>~BL</EM> to=20
the desired value given by <EM>DataIn</EM>. A read operation=20
(<EM>Write/Read</EM>=3D0) turns the write buffers off, turns the sense =
amplifier=20
on, which compares the value of <EM>BL</EM> and <EM>~BL</EM> and gives =
the logic=20
result.</P><BR>
<TABLE class=3Dtable1 width=3D525 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D499 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory33=
.png"=20
      width=3D523></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-52:</STRONG> The sense =
amplifier used=20
      for read operation</TD></TR></TBODY></TABLE><BR><BR><BR>
<TABLE class=3Dtable1 width=3D360 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D345 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory34=
.png"=20
      width=3D358></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-53:</STRONG> Layout of a =
portion of=20
      RAM with the control logic and the sense=20
amplifier</TD></TR></TBODY></TABLE><BR><BR>
<P>An implementation of the feedback sense amplifier is proposed in =
figure=20
10-54. The layout includes a portion of the 64 bit RAM, and the control =
logic.=20
Parasitic loads corresponding to a 1Mb implementation are added to the =
vertical=20
bit lines using virtual capacitor of 0.3pF. </P><BR>
<TABLE class=3Dtable1 width=3D360 align=3Dcenter>
  <TBODY>
  <TR>
    <TD><IMG height=3D350 alt=3D""=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/memory35=
.png"=20
      width=3D518></TD></TR>
  <TR>
    <TD class=3Dcaption><STRONG>Figure 10-54:</STRONG> Simulation of the =
sense=20
      amplifier</TD></TR></TBODY></TABLE><BR><BR>
<P>The simulation shown in figure 10-54 includes two Write and two Read =
cycles.=20
The first write cycle (0-3ns) writes a 1 in the desired memory cell=20
(<EM>Mem00</EM>). The reading operation (3-5ns) confirms that the memory =
value=20
is "1" (<EM>ReadData[0]</EM>). The second write cycle (5-8ns) writes a 0 =
in the=20
desired memory cell (<EM>Mem00</EM>). The reading operation (8-10ns) =
confirms=20
that the memory value is "0" (<EM>ReadData[0]</EM>). Notice that the =
write=20
operation (<EM>Write/Read</EM>=3D1) forces <EM>BL</EM> and <EM>~BL</EM> =
to the=20
desired value given by <EM>DataIn</EM>. The precharge effect is clearly =
seen=20
during the read operation.</P><BR>
<HR>

<TABLE class=3Dheader cellSpacing=3D0 cellPadding=3D0 width=3D"100%" =
border=3D0>
  <TBODY>
  <TR vAlign=3Dtop>
    <TD>CMOS Design &gt; Memories &gt; A 64 Bit Static RAM</TD>
    <TD align=3Dright width=3D46><A=20
      =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/static_ram.htm=
l"><IMG=20
      height=3D16 alt=3DPr=E9cedant=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/previous=
.gif"=20
      width=3D18 border=3D0></A>&nbsp;<A=20
      =
href=3D"https://intranet.insa-toulouse.fr/view/422/content/dynamic_ram.ht=
ml"><IMG=20
      height=3D16 alt=3Dsuivant=20
      =
src=3D"https://intranet.insa-toulouse.fr/view/422/content/images/next.gif=
"=20
      width=3D18 =
border=3D0></A></TD></TR></TBODY></TABLE><BR><BR><BR></BODY></HTML>

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/previous.gif

R0lGODlhEgAQAKIAAP///+/v78zMzKGhoWZmZjMzMwAAAP4BAiH5BAUUAAcALAAAAAASABAAAAM0
CLpRtDCqZsyTkVYjMCubMXgTuI2kVqGeGr6hCc+VTMPuvQEum9q+FpD0CXWIPNMFmVxKEgA7

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/next.gif

R0lGODlhEgAQAKIAAP///+/v78zMzJmZmWZmZjMzMwAAAP4BAiH5BAUUAAcALAAAAAASABAAAAM0
CLpLFSxGYsyTUtR6MRubBXkLuHUkYHJQ6L4iLHOzXNQviq1iyuuS38ijOQ1JlF6qAQQkAAA7

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory15.png
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory16.png
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory17.png
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory18.gif
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory19.gif
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==

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory20.png
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory21.gif
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------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory22.gif
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==

------=_NextPart_000_00D0_01C89581.6B8D6ED0
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: https://intranet.insa-toulouse.fr/view/422/content/images/memory23.png
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