[libreriscv.git] / openpower / sv / svp64 / appendix.mdwn

# Appendix

* <https://bugs.libre-soc.org/show_bug.cgi?id=574>
* <https://bugs.libre-soc.org/show_bug.cgi?id=558#c47>

This is the appendix to [[sv/svp64]], providing explanations of modes
etc. leaving the main svp64 page's primary purpose as outlining the
instruction format.

Table of contents:

[[!toc]]

# XER, SO and other global flags

Vector systems are expected to be high performance.  This is achieved
through parallelism, which requires that elements in the vector be
independent.  XER SO and other global "accumulation" flags (CR.OV) cause
Read-Write Hazards on single-bit global resources, having a significant
detrimental effect.

Consequently in SV, XER.SO and CR.OV behaviour is disregarded (including
in `cmp` instructions).  XER is simply neither read nor written.
This includes when `scalar identity behaviour` occurs.  If precise
OpenPOWER v3.0/1 scalar behaviour is desired then OpenPOWER v3.0/1
instructions should be used without an SV Prefix.

An interesting side-effect of this decision is that the OE flag is now
free for other uses when SV Prefixing is used.

Regarding XER.CA: this does not fit either: it was designed for a scalar
ISA. Instead, both carry-in and carry-out go into the CR.so bit of a given
Vector element.  This provides a means to perform large parallel batches
of Vectorised carry-capable additions.  crweird instructions can be used
to transfer the CRs in and out of an integer, where bitmanipulation
may be performed to analyse the carry bits (including carry lookahead
propagation) before continuing with further parallel additions.

# v3.0B/v3.1B relevant instructions

SV is primarily designed for use as an efficient hybrid 3D GPU / VPU /
CPU ISA.

As mentioned above, OE=1 is not applicable in SV, freeing this bit for
alternative uses.  Additionally, Vectorisation of the VSX SIMD system
likewise makes no sense whatsoever. SV *replaces* VSX and provides,
at the very minimum, predication (which VSX was designed without).
Thus all VSX Major Opcodes - all of them - are "unused" and must raise
illegal instruction exceptions in SV Prefix Mode.

Likewise, `lq` (Load Quad), and Load/Store Multiple make no sense to
have because they are not only provided by SV, the SV alternatives may
be predicated as well, making them far better suited to use in function
calls and context-switching.

Additionally, some v3.0/1 instructions simply make no sense at all in a
Vector context: `twi` and `tdi` fall into this category, as do branch
operations as well as `sc` and `scv`.  Here there is simply no point
trying to Vectorise them: the standard OpenPOWER v3.0/1 instructions
should be called instead.

Fortuitously this leaves several Major Opcodes free for use by SV
to fit alternative future instructions.  In a 3D context this means
Vector Product, Vector Normalise, [[sv/mv.swizzle]], Texture LD/ST
operations, and others critical to an efficient, effective 3D GPU and
VPU ISA. With such instructions being included as standard in other
commercially-successful GPU ISAs it is likewise critical that a 3D
GPU/VPU based on svp64 also have such instructions.

Note however that svp64 is stand-alone and is in no way
critically dependent on the existence or provision of 3D GPU or VPU
instructions. These should be considered extensions, and their discussion
and specification is out of scope for this document.

Note, again: this is *only* under svp64 prefixing.  Standard v3.0B /
v3.1B is *not* altered by svp64 in any way.

## Major opcode map (v3.0B)

This table is taken from v3.0B.
Table 9: Primary Opcode Map (opcode bits 0:5)

        |  000   |   001 |  010  | 011   |  100  |    101 |  110  |  111
    000 |        |       |  tdi  | twi   | EXT04 |        |       | mulli | 000
    001 | subfic |       | cmpli | cmpi  | addic | addic. | addi  | addis | 001
    010 | bc/l/a | EXT17 | b/l/a | EXT19 | rlwimi| rlwinm |       | rlwnm | 010
    011 |  ori   | oris  | xori  | xoris | andi. | andis. | EXT30 | EXT31 | 011
    100 |  lwz   | lwzu  | lbz   | lbzu  | stw   | stwu   | stb   | stbu  | 100
    101 |  lhz   | lhzu  | lha   | lhau  | sth   | sthu   | lmw   | stmw  | 101
    110 |  lfs   | lfsu  | lfd   | lfdu  | stfs  | stfsu  | stfd  | stfdu | 110
    111 |  lq    | EXT57 | EXT58 | EXT59 | EXT60 | EXT61  | EXT62 | EXT63 | 111
        |  000   |   001 |   010 |  011  |   100 |   101  | 110   |  111

## Suitable for svp64

This is the same table containing v3.0B Primary Opcodes except those that
make no sense in a Vectorisation Context have been removed.  These removed
POs can, *in the SV Vector Context only*, be assigned to alternative
(Vectorised-only) instructions, including future extensions.

Note, again, to emphasise: outside of svp64 these opcodes **do not**
change.  When not prefixed with svp64 these opcodes **specifically**
retain their v3.0B / v3.1B OpenPOWER Standard compliant meaning.

        |  000   |   001 |  010  | 011   |  100  |    101 |  110  |  111
    000 |        |       |       |       |       |        |       | mulli | 000
    001 | subfic |       | cmpli | cmpi  | addic | addic. | addi  | addis | 001
    010 |        |       |       | EXT19 | rlwimi| rlwinm |       | rlwnm | 010
    011 |  ori   | oris  | xori  | xoris | andi. | andis. | EXT30 | EXT31 | 011
    100 |  lwz   | lwzu  | lbz   | lbzu  | stw   | stwu   | stb   | stbu  | 100
    101 |  lhz   | lhzu  | lha   | lhau  | sth   | sthu   |       |       | 101
    110 |  lfs   | lfsu  | lfd   | lfdu  | stfs  | stfsu  | stfd  | stfdu | 110
    111 |        |       | EXT58 | EXT59 |       | EXT61  |       | EXT63 | 111
        |  000   |   001 |   010 |  011  |   100 |   101  | 110   |  111

# Single Predication

This is a standard mode normally found in Vector ISAs.  every element in rvery source Vector and in the destination uses the same bit of one single predicate mask.

Note however that in SVSTATE, implementors MUST increment both srcstep and dststep, and that the two must be equal at all times.

# Twin Predication

This is a novel concept that allows predication to be applied to a single
source and a single dest register.  The following types of traditional
Vector operations may be encoded with it, *without requiring explicit
opcodes to do so*

* VSPLAT (a single scalar distributed across a vector)
* VEXTRACT (like LLVM IR [`extractelement`](https://releases.llvm.org/11.0.0/docs/LangRef.html#extractelement-instruction))
* VINSERT (like LLVM IR [`insertelement`](https://releases.llvm.org/11.0.0/docs/LangRef.html#insertelement-instruction))
* VCOMPRESS (like LLVM IR [`llvm.masked.compressstore.*`](https://releases.llvm.org/11.0.0/docs/LangRef.html#llvm-masked-compressstore-intrinsics))
* VEXPAND (like LLVM IR [`llvm.masked.expandload.*`](https://releases.llvm.org/11.0.0/docs/LangRef.html#llvm-masked-expandload-intrinsics))

Those patterns (and more) may be applied to:

* mv (the usual way that V\* ISA operations are created)
* exts\* sign-extension
* rwlinm and other RS-RA shift operations (**note**: excluding
  those that take RA as both a src and dest. These are not
  1-src 1-dest, they are 2-src, 1-dest)
* LD and ST (treating AGEN as one source)
* FP fclass, fsgn, fneg, fabs, fcvt, frecip, fsqrt etc.
* Condition Register ops mfcr, mtcr and other similar

This is a huge list that creates extremely powerful combinations,
particularly given that one of the predicate options is `(1<<r3)`

Additional unusual capabilities of Twin Predication include a back-to-back
version of VCOMPRESS-VEXPAND which is effectively the ability to do
sequentially ordered multiple VINSERTs.  The source predicate selects a
sequentially ordered subset of elements to be inserted; the destination
predicate specifies the sequentially ordered recipient locations.
This is equivalent to
`llvm.masked.compressstore.*`
followed by
`llvm.masked.expandload.*`


# Rounding, clamp and saturate

see  [[av_opcodes]].

To help ensure that audio quality is not compromised by overflow,
"saturation" is provided, as well as a way to detect when saturation
occurred if desired (Rc=1). When Rc=1 there will be a *vector* of CRs,
one CR per element in the result (Note: this is different from VSX which
has a single CR per block).

When N=0 the result is saturated to within the maximum range of an
unsigned value.  For integer ops this will be 0 to 2^elwidth-1. Similar
logic applies to FP operations, with the result being saturated to
maximum rather than returning INF, and the minimum to +0.0

When N=1 the same occurs except that the result is saturated to the min
or max of a signed result, and for FP to the min and max value rather
than returning +/- INF.

When Rc=1, the CR "overflow" bit is set on the CR associated with the
element, to indicate whether saturation occurred.  Note that due to
the hugely detrimental effect it has on parallel processing, XER.SO is
**ignored** completely and is **not** brought into play here.  The CR
overflow bit is therefore simply set to zero if saturation did not occur,
and to one if it did.

Note also that saturate on operations that produce a carry output are
prohibited due to the conflicting use of the CR.so bit for storing if
saturation occurred.

Post-analysis of the Vector of CRs to find out if any given element hit
saturation may be done using a mapreduced CR op (cror), or by using the
new crweird instruction, transferring the relevant CR bits to a scalar
integer and testing it for nonzero.  see [[sv/cr_int_predication]]

Note that the operation takes place at the maximum bitwidth (max of
src and dest elwidth) and that truncation occurs to the range of the
dest elwidth.

# Reduce mode

There are two variants here.  The first is when the destination is scalar
and at least one of the sources is Vector.  The second is more complex
and involves map-reduction on vectors.

The first defining characteristic distinguishing Scalar-dest reduce mode
from Vector reduce mode is that Scalar-dest reduce issues VL element
operations, whereas Vector reduce mode performs an actual map-reduce
(tree reduction): typically `O(VL log VL)` actual computations.

The second defining characteristic of scalar-dest reduce mode is that it
is, in simplistic and shallow terms *serial and sequential in nature*,
whereas the Vector reduce mode is definitely inherently paralleliseable.

The reason why scalar-dest reduce mode is "simplistically" serial and
sequential is that in certain circumstances (such as an `OR` operation
or a MIN/MAX operation) it may be possible to parallelise the reduction.

## Scalar result reduce mode

In this mode, one register is identified as being the "accumulator".
Scalar reduction is thus categorised by:

* One of the sources is a Vector
* the destination is a scalar
* optionally but most usefully when one source register is also the destination
* That the source register type is the same as the destination register
  type identified as the "accumulator".  scalar reduction on `cmp`,
  `setb` or `isel` is not possible for example because of the mixture
  between CRs and GPRs.

Typical applications include simple operations such as `ADD r3, r10.v,
r3` where, clearly, r3 is being used to accumulate the addition of all
elements is the vector starting at r10.

     # add RT, RA,RB but when RT==RA
     for i in range(VL):
          iregs[RA] += iregs[RB+i] # RT==RA

However, *unless* the operation is marked as "mapreduce", SV ordinarily
**terminates** at the first scalar operation.  Only by marking the
operation as "mapreduce" will it continue to issue multiple sub-looped
(element) instructions in `Program Order`.

Other examples include shift-mask operations where a Vector of inserts
into a single destination register is required, as a way to construct
a value quickly from multiple arbitrary bit-ranges and bit-offsets.
Using the same register as both the source and destination, with Vectors
of different offsets masks and values to be inserted has multiple
applications including Video, cryptography and JIT compilation.

Subtract and Divide are still permitted to be executed in this mode,
although from an algorithmic perspective it is strongly discouraged.
It would be better to use addition followed by one final subtract,
or in the case of divide, to get better accuracy, to perform a multiply
cascade followed by a final divide.

Note that single-operand or three-operand scalar-dest reduce is perfectly
well permitted: both still meet the qualifying characteristics that one
source operand can also be the destination, which allows the "accumulator"
to be identified.

## Vector result reduce mode

1. limited to single predicated dual src operations (add RT, RA, RB).
   triple source operations are prohibited (fma).
2. limited to operations that make sense.  divide is excluded, as is
   subtract (X - Y - Z produces different answers depending on the order)
   and asymmetric CRops (crandc, crorc). sane  operations:
   multiply, min/max, add, logical bitwise OR, most other CR ops.
   operations that do have the same source and dest register type are
   also excluded (isel, cmp). operations involving carry or overflow
   (XER.CA / OV) are also prohibited.
3. the destination is a vector but the result is stored, ultimately,
   in the first nonzero predicated element.  all other nonzero predicated
   elements are undefined. *this includes the CR vector* when Rc=1
4. implementations may use any ordering and any algorithm to reduce
   down to a single result.  However it must be equivalent to a straight
   application of mapreduce.  The destination vector (except masked out
   elements) may be used for storing any intermediate results. these may
   be left in the vector (undefined).
5. CRM applies when Rc=1.  When CRM is zero, the CR associated with
   the result is regarded as a "some results met standard CR result
   criteria". When CRM is one, this changes to "all results met standard
   CR criteria".
6. implementations MAY use destoffs as well as srcoffs (see [[sv/sprs]])
   in order to store sufficient state to resume operation should an
   interrupt occur. this is also why implementations are permitted to use
   the destination vector to store intermediary computations
7. *Predication may be applied*.  zeroing mode is not an option.  masked-out
   inputs are ignored; masked-out elements in the destination vector are
   unaltered (not used for the purposes of intermediary storage); the
   scalar result is placed in the first available unmasked element.

Pseudocode for the case where RA==RB:

    result = op(iregs[RA], iregs[RA+1])
    CR = analyse(result)
    for i in range(2, VL):
        result = op(result, iregs[RA+i])
        CRnew = analyse(result)
        if Rc=1
            if CRM:
                 CR = CR bitwise or CRnew
            else:
                 CR = CR bitwise AND CRnew

TODO: case where RA!=RB which involves first a vector of 2-operand
results followed by a mapreduce on the intermediates.

Note that when SVM is clear and SUBVL!=1 the sub-elements are
*independent*, i.e. they are mapreduced per *sub-element* as a result.
illustration with a vec2:

    result.x = op(iregs[RA].x, iregs[RA+1].x)
    result.y = op(iregs[RA].y, iregs[RA+1].y)
    for i in range(2, VL):
        result.x = op(result.x, iregs[RA+i].x)
        result.y = op(result.y, iregs[RA+i].y)

Note here that Rc=1 does not make sense when SVM is clear and SUBVL!=1.

When SVM is set and SUBVL!=1, another variant is enabled: horizontal
subvector mode.  Example for a vec3:

    for i in range(VL):
        result = op(iregs[RA+i].x, iregs[RA+i].x)
        result = op(result, iregs[RA+i].y)
        result = op(result, iregs[RA+i].z)
        iregs[RT+i] = result

In this mode, when Rc=1 the Vector of CRs is as normal: each result
element creates a corresponding CR element.

# Fail-on-first

Data-dependent fail-on-first has two distinct variants: one for LD/ST,
the other for arithmetic operations (actually, CR-driven).  Note in each
case the assumption is that vector elements are required appear to be
executed in sequential Program Order, element 0 being the first.

* LD/ST ffirst treats the first LD/ST in a vector (element 0) as an
  ordinary one.  Exceptions occur "as normal".  However for elements 1
  and above, if an exception would occur, then VL is **truncated** to the
  previous element.
* Data-driven (CR-driven) fail-on-first activates when Rc=1 or other
  CR-creating operation produces a result (including cmp).  Similar to
  branch, an analysis of the CR is performed and if the test fails, the
  vector operation terminates and discards all element operations at and
  above the current one, and VL is truncated to the *previous* element.
  Thus the new VL comprises a contiguous vector of results, all of which
  pass the testing criteria (equal to zero, less than zero).

The CR-based data-driven fail-on-first is new and not found in ARM
SVE or RVV. It is extremely useful for reducing instruction count,
however requires speculative execution involving modifications of VL
to get high performance implementations.  An additional mode (RC1=1)
effectively turns what would otherwise be an arithmetic operation
into a type of `cmp`.  The CR is stored (and the CR.eq bit tested).
If the CR.eq bit fails then the Vector is truncated and the loop ends.
Note that when RC1=1 the result elements arw never stored, only the CRs.

In CR-based data-driven fail-on-first there is only the option to select
and test one bit of each CR (just as with branch BO).  For more complex
tests this may be insufficient.  If that is the case, a vectorised crops
(crand, cror) may be used, and ffirst applied to the crop instead of to
the arithmetic vector.

One extremely important aspect of ffirst is:

* LDST ffirst may never set VL equal to zero.  This because on the first
  element an exception must be raised "as normal".
* CR-based data-dependent ffirst on the other hand **can** set VL equal
  to zero. This is the only means in the entirety of SV that VL may be set
  to zero (with the exception of via the SV.STATE SPR).  When VL is set
  zero due to the first element failing the CR bit-test, all subsequent
  vectorised operations are effectively `nops` which is
  *precisely the desired and intended behaviour*.

Another aspect is that for ffirst LD/STs, VL may be truncated arbitrarily
to a nonzero value for any implementation-specific reason.  For example:
it is perfectly reasonable for implementations to alter VL when ffirst
LD or ST operations are initiated on a nonaligned boundary, such that
within a loop the subsequent iteration of that loop begins subsequent
ffirst LD/ST operations on an aligned boundary.  Likewise, to reduce
workloads or balance resources.

CR-based data-dependent first on the other hand MUST not truncate VL
arbitrarily.  This because it is a precise test on which algorithms
will rely.

# pred-result mode

This mode merges common CR testing with predication, saving on instruction
count. Below is the pseudocode excluding predicate zeroing and elwidth
overrides.

    for i in range(VL):
        # predication test, skip all masked out elements.
        if predicate_masked_out(i):
             continue
        result = op(iregs[RA+i], iregs[RB+i])
        CRnew = analyse(result) # calculates eq/lt/gt
        # Rc=1 always stores the CR
        if Rc=1 or RC1:
            crregs[offs+i] = CRnew
        # now test CR, similar to branch
        if RC1 or CRnew[BO[0:1]] != BO[2]:
            continue # test failed: cancel store
        # result optionally stored but CR always is
        iregs[RT+i] = result

The reason for allowing the CR element to be stored is so that
post-analysis of the CR Vector may be carried out.  For example:
Saturation may have occurred (and been prevented from updating, by the
test) but it is desirable to know *which* elements fail saturation.

Note that RC1 Mode basically turns all operations into `cmp`.  The
calculation is performed but it is only the CR that is written. The
element result is *always* discarded, never written (just like `cmp`).

Note that predication is still respected: predicate zeroing is slightly
different: elements that fail the CR test *or* are masked out are zero'd.

## pred-result mode on CR ops

Yes, really: CR operations (mtcr, crand, cror) may be Vectorised,
predicated, and also pred-result mode applied to it.  In this case,
the Vectorisation applies to the batch of 4 bits, i.e. it is not the CR
individual bits that are treated as the Vector, but the CRs themselves
(CR0, CR8, CR9...)

Thus after each Vectorised operation (crand) a test of the CR result
can in fact be performed.

# CR Operations

CRs are slightly more involved than INT or FP registers due to the
possibility for indexing individual bits (crops BA/BB/BT).  Again however
the access pattern needs to be understandable in relation to v3.0B / v3.1B
numbering, with a clear linear relationship and mapping existing when
SV is applied.

## CR EXTRA mapping table and algorithm

Numbering relationships for CR fields are already complex due to being
in BE format (*the relationship is not clearly explained in the v3.0B
or v3.1B specification*).  However with some care and consideration
the exact same mapping used for INT and FP regfiles may be applied,
just to the upper bits, as explained below.

In OpenPOWER v3.0/1, BF/BT/BA/BB are all 5 bits.  The top 3 bits (0:2)
select one of the 8 CRs; the bottom 2 bits (3:4) select one of 4 bits
*in* that CR.  The numbering was determined (after 4 months of
analysis and research) to be as follows:

    CR_index = 7-(BA>>2)      # top 3 bits but BE
    bit_index = 3-(BA & 0b11) # low 2 bits but BE
    CR_reg = CR{CR_index}     # get the CR
    # finally get the bit from the CR.
    CR_bit = (CR_reg & (1<<bit_index)) != 0

When it comes to applying SV, it is the CR\_reg number to which SV EXTRA2/3
applies, **not** the CR\_bit portion (bits 3:4):

    if extra3_mode:
        spec = EXTRA3
    else:
        spec = EXTRA2<<1 | 0b0
    if spec[0]:
       # vector constructs "BA[0:2] spec[1:2] 00 BA[3:4]"
       return ((BA >> 2)<<6) | # hi 3 bits shifted up
              (spec[1:2]<<4) | # to make room for these
              (BA & 0b11)      # CR_bit on the end
    else:
       # scalar constructs "00 spec[1:2] BA[0:4]"
       return (spec[1:2] << 5) | BA

Thus, for example, to access a given bit for a CR in SV mode, the v3.0B
algorithm to determin CR\_reg is modified to as follows:

    CR_index = 7-(BA>>2)      # top 3 bits but BE
    if spec[0]:
        # vector mode, 0-124 increments of 4
        CR_index = (CR_index<<4) | (spec[1:2] << 2)
    else:
        # scalar mode, 0-32 increments of 1
        CR_index = (spec[1:2]<<3) | CR_index
    # same as for v3.0/v3.1 from this point onwards
    bit_index = 3-(BA & 0b11) # low 2 bits but BE
    CR_reg = CR{CR_index}     # get the CR
    # finally get the bit from the CR.
    CR_bit = (CR_reg & (1<<bit_index)) != 0

Note here that the decoding pattern to determine CR\_bit does not change.

Note: high-performance implementations may read/write Vectors of CRs in
batches of aligned 32-bit chunks (CR0-7, CR7-15).  This is to greatly
simplify internal design.  If instructions are issued where CR Vectors
do not start on a 32-bit aligned boundary, performance may be affected.

## CR fields as inputs/outputs of vector operations

CRs (or, the arithmetic operations associated with them)
may be marked as Vectorised or Scalar.  When Rc=1 in arithmetic operations that have no explicit EXTRA to cover the CR, the CR is Vectorised if the destination is Vectorised.  Likewise if the destination is scalar then so is the CR.

When vectorized, the CR inputs/outputs are sequentially read/written
to 4-bit CR fields.  Vectorised Integer results, when Rc=1, will begin
writing to CR8 (TBD evaluate) and increase sequentially from there.
This is so that:

* implementations may rely on the Vector CRs being aligned to 8. This
  means that CRs may be read or written in aligned batches of 32 bits
  (8 CRs per batch), for high performance implementations.
* scalar Rc=1 operation (CR0, CR1) and callee-saved CRs (CR2-4) are not
  overwritten by vector Rc=1 operations except for very large VL
* CR-based predication, from CR32, is also not interfered with
  (except by large VL).

However when the SV result (destination) is marked as a scalar by the
EXTRA field the *standard* v3.0B behaviour applies: the accompanying
CR when Rc=1 is written to.  This is CR0 for integer operations and CR1
for FP operations.

Note that yes, the CRs are genuinely Vectorised.  Unlike in SIMD VSX which
has a single CR (CR6) for a given SIMD result, SV Vectorised OpenPOWER
v3.0B scalar operations produce a **tuple** of element results: the
result of the operation as one part of that element *and a corresponding
CR element*.  Greatly simplified pseudocode:

    for i in range(VL):
         # calculate the vector result of an add iregs[RT+i] = iregs[RA+i]
         + iregs[RB+i] # now calculate CR bits CRs{8+i}.eq = iregs[RT+i]
         == 0 CRs{8+i}.gt = iregs[RT+i] > 0 ... etc

If a "cumulated" CR based analysis of results is desired (a la VSX CR6)
then a followup instruction must be performed, setting "reduce" mode on
the Vector of CRs, using cr ops (crand, crnor)to do so.  This provides far
more flexibility in analysing vectors than standard Vector ISAs.  Normal
Vector ISAs are typically restricted to "were all results nonzero" and
"were some results nonzero". The application of mapreduce to Vectorised
cr operations allows far more sophisticated analysis, particularly in
conjunction with the new crweird operations see [[sv/cr_int_predication]].

Note in particular that the use of a separate instruction in this way
ensures that high performance multi-issue OoO inplementations do not
have the computation of the cumulative analysis CR as a bottleneck and
hindrance, regardless of the length of VL.

(see [[discussion]].  some alternative schemes are described there)

## Rc=1 when SUBVL!=1

sub-vectors are effectively a form of SIMD (length 2 to 4). Only 1 bit of
predicate is allocated per subvector; likewise only one CR is allocated
per subvector.

This leaves a conundrum as to how to apply CR computation per subvector,
when normally Rc=1 is exclusively applied to scalar elements.  A solution
is to perform a bitwise OR or AND of the subvector tests.  Given that
OE is ignored, rhis field may (when available) be used to select OR or
AND behavior.

### Table of CR fields

CR[i] is the notation used by the OpenPower spec to refer to CR field #i,
so FP instructions with Rc=1 write to CR[1] aka SVCR1_000.

CRs are not stored in SPRs: they are registers in their own right.
Therefore context-switching the full set of CRs involves a Vectorised
mfcr or mtcr, using VL=64, elwidth=8 to do so.  This is exactly as how
scalar OpenPOWER context-switches CRs: it is just that there are now
more of them.

The 64 SV CRs are arranged similarly to the way the 128 integer registers
are arranged.  TODO a python program that auto-generates a CSV file
which can be included in a table, which is in a new page (so as not to
overwhelm this one). [[svp64/cr_names]]

# Register Profiles

**NOTE THIS TABLE SHOULD NO LONGER BE HAND EDITED** see
<https://bugs.libre-soc.org/show_bug.cgi?id=548> for details.

Instructions are broken down by Register Profiles as listed in the
following auto-generated page: [[opcode_regs_deduped]].  "Non-SV"
indicates that the operations with this Register Profile cannot be
Vectorised (mtspr, bc, dcbz, twi)

TODO generate table which will be here [[svp64/reg_profiles]]

# SV pseudocode illilustration

## Single-predicated Instruction

illustration of normal mode add operation: zeroing not included, elwidth
overrides not included.  if there is no predicate, it is set to all 1s

    function op_add(rd, rs1, rs2) # add not VADD!
      int i, id=0, irs1=0, irs2=0; predval = get_pred_val(FALSE, rd);
      for (i = 0; i < VL; i++)
        STATE.srcoffs = i # save context if (predval & 1<<i) # predication
        uses intregs
           ireg[rd+id] <= ireg[rs1+irs1] + ireg[rs2+irs2]; if (!int_vec[rd
           ].isvec) break;
        if (rd.isvec)  { id += 1; } if (rs1.isvec)  { irs1 += 1; } if
        (rs2.isvec)  { irs2 += 1; } if (id == VL or irs1 == VL or irs2 ==
        VL) {
          # end VL hardware loop STATE.srcoffs = 0; # reset return;
        }

This has several modes:

* RT.v = RA.v RB.v * RT.v = RA.v RB.s (and RA.s RB.v) * RT.v = RA.s RB.s *
RT.s = RA.v RB.v * RT.s = RA.v RB.s (and RA.s RB.v) * RT.s = RA.s RB.s

All of these may be predicated.  Vector-Vector is straightfoward.
When one of source is a Vector and the other a Scalar, it is clear that
each element of the Vector source should be added to the Scalar source,
each result placed into the Vector (or, if the destination is a scalar,
only the first nonpredicated result).

The one that is not obvious is RT=vector but both RA/RB=scalar.
Here this acts as a "splat scalar result", copying the same result into
all nonpredicated result elements.  If a fixed destination scalar was
intended, then an all-Scalar operation should be used.

See <https://bugs.libre-soc.org/show_bug.cgi?id=552>

# Assembly Annotation

Assembly code annotation is required for SV to be able to successfully
mark instructions as "prefixed".

A reasonable (prototype) starting point:

    svp64 [field=value]*

Fields:

* ew=8/16/32 - element width
* sew=8/16/32 - source element width
* vec=2/3/4 - SUBVL
* mode=reduce/satu/sats/crpred
* pred=1\<\<3/r3/~r3/r10/~r10/r30/~r30/lt/gt/le/ge/eq/ne
* spred={reg spec}

similar to x86 "rex" prefix.

For actual assembler:

    sv.asmcode/mode.vec{N}.ew=8,sw=16,m={pred},sm={pred} reg.v, src.s

Qualifiers:

* m={pred}: predicate mask mode
* sm={pred}: source-predicate mask mode (only allowed in Twin-predication)
* vec{N}: vec2 OR vec3 OR vec4 - sets SUBVL=2/3/4
* ew={N}: ew=8/16/32 - sets elwidth override
* sw={N}: sw=8/16/32 - sets source elwidth override
* ff={xx}: see fail-first mode
* pr={xx}: see predicate-result mode
* sat{x}: satu / sats - see saturation mode
* mr: see map-reduce mode
* mr.svm see map-reduce with sub-vector mode
* crm: see map-reduce CR mode
* crm.svm see map-reduce CR with sub-vector mode
* sz: predication with source-zeroing
* dz: predication with dest-zeroing

For modes:

* pred-result:
  - pm=lt/gt/le/ge/eq/ne/so/ns OR
  - pm=RC1 OR pm=~RC1
* fail-first
  - ff=lt/gt/le/ge/eq/ne/so/ns OR
  - ff=RC1 OR ff=~RC1
* saturation:
  - sats
  - satu
* map-reduce:
  - mr OR crm: "normal" map-reduce mode or CR-mode.
  - mr.svm OR crm.svm: when vec2/3/4 set, sub-vector mapreduce is enabled