Which Of The Following Blocks Of Instructions Will Multiply The Contents Of The Edx Register By 40?
Arithmetic Pedagogy
Embedded Processor Compages
Peter Barry , Patrick Crowley , in Modern Embedded Computing, 2012
Arithmetics Instructions
The arithmetics instructions define the ready of operations performed by the processor Arithmetics Logic Unit of measurement (ALU). The arithmetic instructions are further classified into binary, decimal, logical, shift/rotate, and chip/byte manipulation instructions.
Binary Operations
The binary arithmetic instructions perform basic binary integer computations on byte, discussion, and double word integers located in memory and/or the general-purpose registers, as described in Table five.4.
Instruction Mnemonic | Example | Description |
---|---|---|
Add | Add together EAX, EAX | Add the contents of EAX to EAX |
ADC | ADC EAX, EAX | Add together with conduct |
SUB | SUB EAX, 0002h | Subtract the 2 from the register |
SBB | SBB EBX, 0002h | Decrease with borrow |
MUL | MUL EBX | Unsigned multiply EAX by EBX; results in EDX:EAX |
DIV | DIV EBX | Unsigned divide |
INC | INC [EAX] | Increment value at retentiveness eax by one |
December | DEC EAX | Decrement EAX past 1 |
NEG | NEG EAX | Two's complement negation |
Decimal Operations
The decimal arithmetic instructions perform decimal arithmetic on binary coded decimal (BCD) information, equally described in Table five.five. BCD is not used equally much as it has been in the by, but it still remains relevant for some financial and industrial applications.
Didactics Mnemonic | Example | Description |
---|---|---|
DAA | Add together EAX, EAX | Decimal adjust afterwards improver |
DAS | DAS | Decimal adjust AL later subtraction. Adjusts the upshot of the subtraction of two packed BCD values to create a packed BCD issue |
AAA | AAA | ASCII adjust after add-on. Adjusts the sum of ii unpacked BCD values to create an unpacked BCD result |
AAS | AAS | ASCII conform after subtraction. Adjusts the result of the subtraction of two unpacked BCD values to create a unpacked BCD result |
Logical Operations
The logical instructions perform basic AND, OR, XOR, and Not logical operations on byte, discussion, and double word values, as described in Table 5.6.
Didactics Mnemonic | Example | Description |
---|---|---|
AND | AND EAX, 0ffffh | Performs bitwise logical AND |
OR | OR EAX, 0fffffff0h | Performs bitwise logical OR |
XOR | EBX, 0fffffff0h | Performs bitwise logical XOR |
NOT | Not [EAX] | Performs bitwise logical Non |
Shift Rotate Operations
The shift and rotate instructions shift and rotate the bits in word and double word operands. Tabular array five.7 shows some examples.
Education Mnemonic | Example | Description |
---|---|---|
SAR | SAR EAX, 4h | Shifts arithmetic right |
SHR | SAL EAX,1 | Shifts logical right |
SAL/SHL | SAL EAX,one | Shifts arithmetic left/Shifts logical left |
SHRD | SHRD EAX, EBX, 4 | Shifts correct double |
SHLD | SHRD EAX, EBX, iv | Shifts left double |
ROR | ROR EAX, 4h | Rotates right |
ROL | ROL EAX, 4h | Rotates left |
RCR | RCR EAX, 4h | Rotates through carry correct |
RCL | RCL EAX, 4h | Rotates through behave left |
The arithmetics shift operations are often used in power of 2 arithmetic operations (such a multiply by two), as the instructions are much faster than the equivalent multiply or split operation.
Bit/Byte Operations
Bit instructions exam and modify individual bits in word and double word operands, as described in Table 5.eight. Byte instructions set the value of a byte operand to indicate the status of flags in the EFLAGS annals.
Instruction Mnemonic | Example | Description |
---|---|---|
BT | BT EAX, 4h | Flake test. Stores selected flake in Carry flag |
BTS | BTS EAX, 4h | Chip examination and set. Stores selected chip in Bear flag and sets the scrap |
BTR | BTS EAX, 4h | Scrap test and reset. Stores selected bit in Conduct flag and clears the bit |
BTC | BTS EAX, 4h | Bit examination and complement. Stores selected bit in Deport flag and complements the bit |
BSF | BTS EBX, [EAX] | Bit scan forwards. Searches the source operand (second operand) for the least significant set bit (ane bit) |
BSR | BTR EBX, [EAX] | Flake scan reference. Searches the source operand (second operand) for the well-nigh significant set scrap (ane bit) |
SETE/SETZ | Set EAX | Conditional Set byte if equal/Fix byte if zilch |
TEST | TEST EAX, 0ffffffffh | Logical compare. Computes the flake-wise logical AND of outset operand (source 1 operand) and the second operand (source 2 operand) and sets the SF, ZF, and PF status flags according to the upshot |
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Instruction Sets
Joseph Yiu , in The Definitive Guide to the ARM Cortex-M3 (Second Edition), 2009
4.three.3 Assembler Language: Processing Data
The Cortex-M3 provides many unlike instructions for data processing. A few bones ones are introduced hither. Many information operation instructions tin take multiple didactics formats. For example, an Add instruction can operate between two registers or between 1 register and an immediate data value:
Add R0, R0, R1 ; R0 = R0 + R1
ADDS R0, R0, #0x12 ; R0 = R0 + 0x12
Add.West R0, R1, R2 ; R0 = R1 + R2
These are all Add instructions, but they take unlike syntaxes and binary coding.
With the traditional Thumb instruction syntax, when sixteen-chip Thumb code is used, an ADD instruction tin modify the flags in the PSR. Notwithstanding, 32-scrap Thumb-2 code can either alter a flag or proceed information technology unchanged. To separate the 2 different operations, the S suffix should be used if the following functioning depends on the flags:
ADD.Due west R0, R1, R2 ; Flag unchanged
ADDS.W R0, R1, R2 ; Flag alter
Aside from Add instructions, the arithmetics functions that the Cortex-M3 supports include subtract (SUB), multiply (MUL), and unsigned and signed divide (UDIV/SDIV). Table 4.xviii shows some of the most unremarkably used arithmetic instructions.
Instruction | Performance |
---|---|
ADD Rd, Rn, Rm ; Rd = Rn + Rm | ADD operation |
ADD Rd, Rd, Rm ; Rd = Rd + Rm | |
Add together Rd, #immed ; Rd = Rd + #immed | |
Add together Rd, Rn, # immed ; Rd = Rn + #immed | |
ADC Rd, Rn, Rm ; Rd = Rn + Rm + carry | ADD with acquit |
ADC Rd, Rd, Rm ; Rd = Rd + Rm + acquit | |
ADC Rd, #immed ; Rd = Rd + #immed + carry | |
ADDW Rd, Rn,#immed ; Rd = Rn + #immed | ADD register with 12-bit immediate value |
SUB Rd, Rn, Rm ; Rd = Rn − Rm | SUBTRACT |
SUB Rd, #immed ; Rd = Rd − #immed | |
SUB Rd, Rn,#immed ; Rd = Rn − #immed | |
SBC Rd, Rm ; Rd = Rd − Rm − infringe | SUBTRACT with borrow (not carry) |
SBC.W Rd, Rn, #immed ; Rd = Rn − #immed − borrow | |
SBC.W Rd, Rn, Rm ; Rd = Rn − Rm − infringe | |
RSB.West Rd, Rn, #immed ; Rd = #immed –Rn | Reverse subtract |
RSB.W Rd, Rn, Rm ; Rd = Rm − Rn | |
MUL Rd, Rm ; Rd = Rd * Rm | Multiply |
MUL.W Rd, Rn, Rm ; Rd = Rn * Rm | |
UDIV Rd, Rn, Rm ; Rd = Rn/Rm | Unsigned and signed divide |
SDIV Rd, Rn, Rm ; Rd = Rn/Rm |
These instructions can exist used with or without the "Due south" suffix to decide if the APSR should be updated. In almost cases, if UAL syntax is selected and if "S" suffix is not used, the 32-bit version of the instructions would be selected as almost of the 16-bit Thumb instructions update APSR.
The Cortex-M3 also supports 32-scrap multiply instructions and multiply accumulate instructions that give 64-chip results. These instructions support signed or unsigned values (encounter Table 4.19).
Educational activity | Functioning |
---|---|
SMULL RdLo, RdHi, Rn, Rm ; {RdHi,RdLo} = Rn * Rm | 32-bit multiply instructions for signed values |
SMLAL RdLo, RdHi, Rn, Rm ; {RdHi,RdLo} += Rn * Rm | |
UMULL RdLo, RdHi, Rn, Rm ; {RdHi,RdLo} = Rn * Rm | 32-fleck multiply instructions for unsigned values |
UMLAL RdLo, RdHi, Rn, Rm ; {RdHi,RdLo} += Rn * Rm |
Some other group of data processing instructions are the logical operations instructions and logical operations such as AND, ORR (or), and shift and rotate functions. Tabular array 4.xx shows some of the most commonly used logical instructions. These instructions can be used with or without the "S" suffix to determine if the APSR should be updated. If UAL syntax is used and if "Southward" suffix is not used, the 32-bit version of the instructions would be selected equally all of the 16-flake logic operation instructions update APSR.
Instruction | Operation |
---|---|
AND Rd, Rn ; Rd = Rd & Rn | Bitwise AND |
AND.Westward Rd, Rn,#immed ;Rd = Rn & #immed | |
AND.Westward Rd, Rn, Rm ; Rd = Rn & Rd | |
ORRRd, Rn ; Rd = Rd | Rn | Bitwise OR |
ORR.W Rd, Rn,#immed ; Rd = Rn | #immed | |
ORR.W Rd, Rn, Rm ; Rd = Rn | Rd | |
BIC Rd, Rn ; Rd = Rd & (~Rn) | Bit articulate |
BIC.West Rd, Rn,#immed ; Rd = Rn &(~#immed) | |
BIC.W Rd, Rn, Rm ; Rd = Rn &(~Rd) | |
ORN.W Rd, Rn,#immed ; Rd = Rn | (~#immed) | Bitwise OR Not |
ORN.W Rd, Rn, Rm ; Rd = Rn | (~Rd) | |
EOR Rd, Rn ; Rd = Rd ^ Rn | Bitwise Exclusive OR |
EOR.W Rd, Rn,#immed ; Rd = Rn | #immed | |
EOR.W Rd, Rn, Rm ; Rd = Rn | Rd |
The Cortex-M3 provides rotate and shift instructions. In some cases, the rotate operation can be combined with other operations (for example, in memory accost offset adding for load/store instructions). For standalone rotate/shift operations, the instructions shown in Tabular array 4.21 are provided. Again, a 32-bit version of the teaching is used if "S" suffix is non used and if UAL syntax is used.
Pedagogy | Performance |
---|---|
ASR Rd, Rn,#immed ; Rd = Rn » immed | Arithmetic shift correct |
ASRRd, Rn ; Rd = Rd » Rn | |
ASR.Westward Rd, Rn, Rm ; Rd = Rn » Rm | |
LSLRd, Rn,#immed ; Rd = Rn « immed | Logical shift left |
LSLRd, Rn ; Rd = Rd « Rn | |
LSL.Due west Rd, Rn, Rm ; Rd = Rn « Rm | |
LSRRd, Rn,#immed ; Rd = Rn » immed | Logical shift right |
LSRRd, Rn ; Rd = Rd » Rn | |
LSR.W Rd, Rn, Rm ; Rd = Rn » Rm | |
ROR Rd, Rn ; Rd rot by Rn | Rotate right |
ROR.W Rd, Rn,#immed ; Rd = Rn rot by immed | |
ROR.W Rd, Rn, Rm ; Rd = Rn rot by Rm | |
RRX.W Rd, Rn ; {C, Rd} = {Rn, C} | Rotate right extended |
In UAL syntax, the rotate and shift operations can also update the carry flag if the Due south suffix is used (and always update the carry flag if the 16-bit Thumb code is used). Come across Figure 4.1.
If the shift or rotate functioning shifts the annals position by multiple bits, the value of the carry flag C will be the last scrap that shifts out of the register.
Why Is There Rotate Right Only No Rotate Left?
The rotate left operation can be replaced by a rotate correct operation with a different rotate offset. For instance, a rotate left by 4-bit operation can exist written equally a rotate right by 28-bit instruction, which gives the aforementioned issue and takes the same amount of time to execute.
For conversion of signed data from byte or one-half word to word, the Cortex-M3 provides the two instructions shown in Table 4.22. Both sixteen-flake and 32-bit versions are bachelor. The 16-bit version can only access depression registers.
Instruction | Functioning |
---|---|
SXTB Rd, Rm ; Rd = signext(Rm[7:0]) | Sign extend byte information into word |
SXTH Rd, Rm ; Rd = signext(Rm[15:0]) | Sign extend one-half word data into word |
Another grouping of information processing instructions is used for reversing data bytes in a annals (see Table 4.23). These instructions are usually used for conversion between little endian and big endian information. See Figure 4.2. Both 16-bit and 32-bit versions are bachelor. The 16-fleck version tin can only access low registers.
Didactics | Operation |
---|---|
REV Rd, Rn ; Rd = rev(Rn) | Opposite bytes in word |
REV16 Rd, Rn ; Rd = rev16(Rn) | Reverse bytes in each half discussion |
REVSH Rd, Rn ; Rd = revsh(Rn) | Reverse bytes in bottom one-half word and sign extend the result |
The final group of information processing instructions is for bit field processing. They include the instructions shown in Tabular array 4.24. Examples of these instructions are provided in a afterwards part of this affiliate.
Instruction | Operation |
---|---|
BFC.W Rd, Rn, #<width> | Clear chip field within a register |
BFI.W Rd, Rn, #<lsb>, #<width> | Insert bit field to a register |
CLZ.W Rd, Rn | Count leading zip |
RBIT.Due west Rd, Rn | Reverse fleck order in register |
SBFX.W Rd, Rn, #<lsb>, #<width> | Copy bit field from source and sign extend information technology |
UBFX.W Rd, Rn, #<lsb>, #<width> | Re-create bit field from source annals |
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The Linux/ARM embedded platform
Jason D. Bakos , in Embedded Systems, 2016
1.13 Bones ARM Instruction Prepare
This department provides a concise summary of a basic subset of the ARM instruction fix. The data provided here is but enough to get y'all started writing bones ARM assembly programs, and does not include any specialized instructions, such as organisation instructions and those related to coprocessors. Note that in the post-obit tables, the instruction mnemonics are shown in capital letter, merely can be written in uppercase or lowercase.
1.13.1 Integer arithmetic instructions
Tabular array 1.4 shows a list of integer arithmetics instructions. All of these support conditional execution, and all will update the status register when the S suffix is specified. Some of these instructions—those with "operand2"—back up the flexible second operand as described before in this chapter. This allows these instructions to have either a register, a shifted register, or an immediate as the second operand.
Instruction | Description | Role |
---|---|---|
ADC{S}{< cond >} Rd, Rn, operand2 | Add with carry | R[Rd] = R[Rn] + operand2 + Cflag |
ADD{S}{< cond >} Rd, Rn, operand2 | Add | R[Rd] = R[Rn] + operand2 |
MLA{South}{< cond >} Rd, Rn, Rm, Ra | Multiply-accumulate | R[Rd] = R[Rn] * R[Rm] + R[Ra] |
MUL{South}{< cond >} Rd, Rn, Rm | Multiply | R[Rd] = R[Rn] * R[Rm] |
RSB{Due south}{< cond >} Rd, Rn, operand2 | Opposite decrease | R[Rd] = operand2 - R[Rn] |
RSC{S}{< cond >} Rd, Rn, operand2 | Reverse subtract with carry | R[Rd] = operand2 - R[Rn] − non(C flag) |
SBC{S}{< cond >} Rd, Rn, operand2 | Subtract with deport | R[Rd] = R[Rn] − operand2 − not(C flag) |
SMLAL{Due south}{< cond >} RdLo, RdHi, Rn, Rm | Signed multiply accrue long | R[RdHi] = upper32bits(R[Rn] * R[Rm]) + R[RdHi] |
R[RdLo] = lower32bits(R[Rn] * R[Rm]) + R[RdLo] | ||
SMULL{S}{< cond >} RdLo, RdHi, Rn, Rm | Signed multiply long | R[RdHi] = upper32bits(R[Rm] * R[Rs]) |
R[RdLo] = lower32bits(R[Rm] * R[Rs]) | ||
SUB{Southward}{< cond >} Rd, Rn, operand2 | Decrease | R[Rd] = R[Rn] − operand2 |
UMLAL{S}{< cond >} RdLo, RdHi, Rn, Rm | Unsigned multiply accrue long | R[RdHi] = upper32bits(R[Rn] * R[Rm]) + R[RdHi] |
R[RdLo] = lower32bits(R[Rn] * R[Rm]) + R[RdLo] | ||
UMULL{Due south}{< cond >} RdLo, RdHi, Rn, Rm | Unsigned multiply long | R[RdHi] = upper32bits(R[Rn] * R[Rm]) |
R[RdLo] = lower32bits(R[Rn] * R[Rm]) |
1.thirteen.2 Bitwise logical instructions
Table 1.v shows a list of bitwise logical instructions. All of these support conditional execution, all tin update the flags when the S suffix is specified, and all support a flexible second operand.
Instruction | Description | Functionality |
---|---|---|
AND{Southward}{< cond >} Rd, Rn, operand2 | Bitwise AND | R[Rd] = R[Rn] & operand2 |
BIC{South}{< cond >} Rd, Rn, operand2 | Bit articulate | R[Rd] = R[Rn] & non operand2 |
EOR{South}{< cond >} Rd, Rn, operand2 | Bitwise XOR | R[Rd] = R[Rn] ˆ operand2 |
ORR{S}{< cond >} Rd, Rn, operand2 | Bitwise OR | R[Rd] = R[Rn] | operand2 |
i.13.3 Shift instructions
Table i.half-dozen shows a list of shift instructions. All of these back up provisional execution, all can update the flags when the S suffix is specified, but note that these instructions do not support the flexible second operand.
Didactics | Description | Functionality |
---|---|---|
ASR{S}{< cond >} Rd, Rn, Rs/#sh | Arithmetic shift correct | R[Rd] = (int)R[Rn] >> (R[Rs] or #sh) |
allowed shift amount 1-32 | ||
LSR{S}{< cond >} Rd, Rn, Rs/#sh | Logical shift right | R[Rd] = (unsigned int)R[Rn] >> (R[Rs] or #sh) |
allowed shift amount ane-32 | ||
LSL{South}{< cond >} Rd, Rn, Rs/#sh | Logical shift left | R[Rd] = R[Rn] << (R[Rs] or #sh) |
allowed shift amount 0-31 | ||
ROR{South}{< cond >} Rd, Rn, Rs/#sh | Rotate right | R[Rd] = rotate R[Rn] by operand2 bits |
allowed shift amount 1-31 | ||
RRX{S}{< cond >} Rd, Rm | Shift right by 1 bit | |
The old conduct flag is shifted into R[Rd] bit 31 | ||
If used with the Southward suffix, the former flake 0 is placed in the comport flag |
1.13.4 Motion instructions
Table 1.7 shows a list of data movement instructions. Most useful of these is the MOV instruction, since its flexible second operand allows for loading immediates and register shifting.
Educational activity | Description | Functionality |
---|---|---|
MOV{S}{< cond >} Rd, operand2 | Move | R[Rd] = operand2 |
MRS{< cond >} Rd, CPSR | Motion condition annals or saved status annals to GPR | R[Rd] = CPSR |
R[Rd] = SPSR | ||
MRS{< cond >} Rd, SPSR | ||
MSR{< cond >} CPSR_f, #imm | Move to status annals from ARM annals | fields is ane of: |
_c, _x, _s, _f | ||
MSR{< cond >} SPSR_f, #imm | ||
MSR{< cond >} CPSR_ < fields >, Rm | ||
MSR{< cond >} SPSR_ < fields >, Rm | ||
MVN{S}{< cond >} Rd, operand2 | Move 1'southward complement | R[Rd] = non operand2 |
one.13.5 Load and store instructions
Tabular array 1.eight shows a listing of load and store instructions. The LDR/STR instructions are ARM's bread-and-butter load and store instructions. The retention address can be specified using whatever of the addressing modes described earlier in this affiliate.
Instruction | Description | Functionality |
---|---|---|
LDM{cond} < accost manner > Rn{!}, < reg listing in braces > | Load multiple | Loads multiple registers from consecutive words starting at R[Rn] |
Bang (!) volition autoincrement base register | ||
Address fashion: | ||
IA = increment later on | ||
IB = increment before | ||
DA = decrement later on | ||
DB = decrement earlier | ||
Example: | ||
LDMIA r2!, {r3,5-r7} | ||
LDR{cond}{B|H|SB|SH} Rd, < address > | Load register | Loads from memory into Rd. |
Optional size specifiers: | ||
B = byte | ||
H = halfword | ||
SB = signed byte | ||
SH = signed halfword | ||
STM{cond} < address mode > Rn, < registers > | Store multiple | Stores multiple registers |
Bang (!) will autoincrement base register | ||
Address style: | ||
IA = increase after | ||
IB = increment before | ||
DA = decrement afterwards | ||
DB = decrement before | ||
Example: | ||
STMIA r2!, {r3,5-r7} | ||
STR{cond}{B|H} Rd, < address > | Store annals | Stores from retentivity into Rd. |
Optional size specifiers: | ||
B = byte | ||
H = halfword | ||
SWP{cond} < B| Rd, Rm, [Rn] | Swap | Swap a word (or byte) between registers and memory |
The LDR instruction can also be used to load symbols into base registers, e.g. "ldr r1,=information".
The LDM and STM instructions can load and shop multiple registers and are often used for accessing the stack.
1.13.6 Comparison instructions
Table ane.9 lists comparison instructions. These instructions are used to the condition flags, which are used for conditional instructions, often used for conditional branches.
Instruction | Description | Functionality |
---|---|---|
CMN{< cond >} Rn, Rm | Compare negative | Sets flags based on comparison between R[Rn] and –R[Rm] |
CMP{< cond >} Rn, Rm | Compare negative | Sets flags based on comparing between R[Rn] and R[Rm] |
TEQ{cond} Rn, Rm | Test equivalence | Tests for equivalence without affecting V flag |
TST{cond} Rn, Rm | Test | Performs a bitwise AND of ii registers and updates the flags |
1.13.vii Branch instructions
Table 1.ten lists two branch instructions. The BX (branch exchange) instruction is used when branching to register values, which is used oftentimes for branching to the link register for returning from functions. When using this instruction, the LSB of the target register specifies whether the processor will be in ARM mode or Thumb fashion after the co-operative is taken.
Instruction | Description | Functionality |
---|---|---|
B{L}{cond} < target > | Branch | Branches (and optionally links in register r14) to label |
B{50}X{cond} Rm | Branch and exchange | Branches (and optionally links in register r14) to register. Bit 0 of annals specifies if the instruction set up mode will be standard or Thumb upon branching |
i.thirteen.8 Floating-bespeak instructions
There are two types of floating-betoken instructions: the Vector Floating Point (VFP) instructions and the NEON instructions.
ARMv6 processors such as the Raspberry Pi (gen1)'s ARM11 support only VFP instructions. Newer architectures such every bit ARMv7 support but NEON instructions. The nigh mutual floating-betoken operations map to both a VFP instruction and a NEON education. For example, the VFP instruction FADDS and the NEON instruction VADD.F32 (when used with s-registers) both perform a unmarried precision floating point add.
The NEON didactics set is more extensive than the VFP didactics set, and then while most VFP instructions have an equivalent NEON teaching, there are many NEON instructions that perform operations not possible with VFP instructions.
In lodge to describe floating point and single instruction, multiple data (SIMD) programming techniques that are applicative to both the ARM11 and ARM Cortex processors, this section and Chapter 2 will comprehend both VFP and NEON instructions.
Table one.11 lists the VFP and NEON version of commonly used floating-point instructions. Similar the integer arithmetics instructions, most floating-point instructions support provisional execution, but at that place is a divide set of flags for floating-point instructions located in the 32-bit floating-betoken status and control annals (FPSCR). NEON instructions utilize merely bits 31 down to 27 of this register, while VFP instructions utilise additional chip fields.
VFP Instruction | Equivalent NEON Instruction | Description |
---|---|---|
FADD[S|D]{cond} Fd, Fn, Fm | VADD.[F32|F64] Fd, Fn, Fm | Single and double precision add |
FSUB[S|D]{cond} Fd, Fn, Fm | VSUB.[F32|F64] Fd, Fn, Fm | Single and double precision subtract |
FMUL[S|D]{cond} Fd, Fn, Fm | VMUL.[F32|F64] Fd, Fn, Fm | Single and double precision multiply and multiply-and-negate |
FNMUL[South|D]{cond} Fd, Fn, Fm | VNMUL.[F32|F64] Fd, Fn, Fm | |
FDIV[S|D]{cond} Fd, Fn, Fm | VDIV.[F32|F64] Fd, Fn, Fm | Unmarried and double precision divide |
FABS[S|D]{cond} Fd, Fm | VABS.[F32|F64] Fd, Fn, Fm | Single and double precision accented value |
FNEG[Southward|D]{cond} Fd, Fm | VNEG.[F32|F64] Fd, Fn, Fm | Unmarried and double precision negate |
FSQRT[S|D]{cond} Fd, Fm | VSQRT.[F32|F64] Fd, Fn, Fm | Single and double precision square root |
FCVTSD{cond} Fd, Fm | VCVT.F32.F64 Fd, Fm | Convert double precision to single precision |
FCVTDS{cond} Fd, Fm | VCVT.F64.F32 Fd, Fm | Convert single precision to double precision |
VCVT.[S|U][32|sixteen].[F32|F64], #fbits Fd, Fm | Convert floating indicate to stock-still point | |
VCVT.[F32|F64].[S|U][32|sixteen],#fbits Fd, Fm, #fbits | Convert floating point to fixed point | |
FMAC[Southward|D]{cond} Fd, Fn, Fm | VMLA.[F32|F64] Fd, Fn, Fm | Single and double precision floating point multiply-accrue, calculates Rd = Fn * Fm + Fd |
There are similar instructions that negate the contents of Fd, Fn, or both prior to use, for case, FNMSC[Due south|D], VNMLS[.F32|.F64] | ||
FLD[Due south|D]{cond} Fd,<address > | VLDR{cond} Rd, < accost > | Unmarried and double precision floating bespeak load/store |
FST[S|D]{cond} Fd,<accost > | LSTR{cond} Rd, < accost > | |
FLDMI[Southward|D]{cond} < address >, < FPRegs > | VLDM{cond} Rn{!}, < FPRegs > | Single and double precision floating indicate load/store multiple |
FSTMI[S|D]{cond} < address >, < FPRegs > | VSTM{cond} Rn{!}, < FPRegs > | |
FMRX{cond} Rd | FMRX Rd | Move from/to floating bespeak condition and control |
FMXR{cond} Rm | FMXR Rm | register |
FCPY[Due south|D]{cond} Fd,Fm | VMOV{cond} Fd,Fm | Copy floating point register |
Floating-point instructions use a separate ready of registers than integer instructions. ARMv6/VFP provides 32 floating-point registers, used as 32 individual single-precision registers named s0-s31 or equally 16 double-precision registers named d0-s15.
ARMv7/NEON provides 64 floating-bespeak registers, which can be used in many more ways, such as:
- ▪
-
64 single-precision registers named s0-s63,
- ▪
-
32 ii-element single-precision registers named d0-d31,
- ▪
-
xvi four-element unmarried-precision registers named q0-q15,
- ▪
-
32 double-precision registers named d0-d31, and
- ▪
-
xvi ii-element double-precision registers named q0-q15.
In both VFP and NEON, register d0 consumes the same physical infinite equally registers s0 and s1 and annals d1 consumes the aforementioned space as registers s2 and s3.
Values in floating-betoken registers tin be exchanged with general-purpose registers, and there is hardware support for type conversion between single precision, double precision, and integer.
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Pixel Shader Reference
Ron Fosner , in Real-Fourth dimension Shader Programming, 2003
Note:
If you used the D3DTOP_ADDSIGNED2X texture operation in ane of your DirectX texture stages, the signed scaling modifier performs the aforementioned functioning.
Rules for using signed source scaling:
- •
-
For utilize merely with arithmetics instructions.
- •
-
Cannot be combined with the invert modifier.
- •
-
Initial data outside the [0, 1] range may produce undefined results.
source scale 2X
PS 1.4 The scale by two modifier is used for shifting the range of the input register from the [0, 1] range to the [−1, + 1] range, typically when you want to use the full signed range of which registers are capable. The calibration by 2 modifier is indicated by adding a _x2 suffix to a register. Essentially, the modifier multiplies the register values by 2 before they are used. The source register values are unchanged.
Rules for using scale past two:
- •
-
For apply only with arithmetic instructions.
- •
-
Cannot be combined with the invert modifier.
- •
-
Available for PS 1.4 shaders only.
source replication/selection
Just as vertex shaders let you select the detail elements of a source annals to use, so pixel shaders do, with some differences. You lot can select but a single element, and that element will be replicated to all channels. You specify a channel to replicate by adding .northward suffix to the register, where n is r, g, b, or a (or x, y, z, or w).
SOURCE REGISTER SELECTORS | |||||||
---|---|---|---|---|---|---|---|
Annals SWIZZLE | |||||||
PS version | .rrrr | .gggg | .bbbb | .aaaa | .gbra | .brga | .abgr |
i.0 | x | ||||||
1.1 | x | x | |||||
ane.2 | x | x | |||||
1.3 | x | x | |||||
1.4 stage 1 | x | ten | x | x | |||
i.4 phase two | 10 | x | x | ten | |||
ii.0 | x | ten | x | x | x | x | ten |
texture register modifiers ps i.four only
PS 1.4 PS 1.4 has its own prepare of modifiers for texture instructions. Since only the texcrd and texld instructions are used to load or sample textures with PS one.4, these modifiers are unique to those instructions. Note that you can interchange .rgbasyntax with xyzw syntax, thus –dz is the same as –db.
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Arithmetics optimization and the Linux Framebuffer
Jason D. Bakos , in Embedded Systems, 2016
3.7 Fixed-Betoken Performance
As compared to floating point, using fixed signal reduces the latency after each arithmetic instruction at the cost of additional instructions required for rounding and radix point management, although if the overhead code contains sufficient instruction level parallelism the impact of these boosted instructions on throughput may not substantial.
On the other hand, for graphics applications similar the image transformation that require frequent conversions betwixt floating point and integer, using stock-still point may result in a reduction of executed instructions.
In fact, when compared the floating-bespeak implementation on the Raspberry Pi, the stock-still-indicate implementation achieves approximately the aforementioned CPI and cache miss charge per unit, simply decreases the number of instructions per pixel from 225 to 160. This resulted in a speedup of throughput of approximately 40%.
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Overview of Digital Betoken Processing Algorithms
Robert Oshana , in DSP Software Development Techniques for Embedded and Real-Time Systems, 2006
Bones Software Implementation
The implementation of a FIR is straightforward; it'due south just a weighted moving average. Any processor with decent arithmetic instructions or a math library can perform the necessary computations. The real constraint is the speed. Many full general-purpose processors can't perform the calculations fast enough to generate real-time output from real-fourth dimension input. This is why a DSP is used.
A dedicated hardware solution like a DSP has two major speed advantages over a general-purpose processor. A DSP has multiple arithmetic units, which can all exist working in parallel on individual terms of the weighted boilerplate. A DSP compages also has information paths that closely mirror the information movements used past the FIR filter. The delay line in a DSP automatically aligns the current window of samples with the appropriate coefficients, which increases throughput considerably. The results of the multiplications automatically flow to the accumulating adders, further increasing efficiency.
DSP architectures provide these optimizations and concurrent opportunities in a programmable processor. DSP processors accept multiple arithmetic units that can exist used in parallel, which closely mimics the parallelism in the filtering algorithm. These DSPs also tend to take special information motion operations. These operations tin can "shift" information amidst special purpose registers in the DSP. DSP processors almost e'er have special chemical compound instructions (like a multiply and accumulate or MAC functioning) that allow data to flow directly from a multiplier into an accumulator without explicit control intervention (Effigy iv.17). This is why a DSP tin can perform one of these MAC operations in i clock cycle. A significant part of learning to use a particular DSP processor efficiently is learning how to exploit these special features.
In a DSP context, a "MAC" is the operation of multiplying a coefficient past the respective delayed data sample and accumulating the upshot. FIR filters usually require one MAC per tap.
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Scalable parallel execution
Mark Ebersole , in Programming Massively Parallel Processors (Third Edition), 2017
three.7 Thread Scheduling and Latency Tolerance
Thread scheduling is strictly an implementation concept. Thus, it must be discussed in the context of specific hardware implementations. In the bulk of implementations to date, a cake assigned to an SM is further divided into 32 thread units called warps. The size of warps is implementation-specific. Warps are not part of the CUDA specification; nevertheless, noesis of warps can be helpful in agreement and optimizing the operation of CUDA applications on particular generations of CUDA devices. The size of warps is a property of a CUDA device, which is in the warpSize field of the device query variable (dev_prop in this case).
The warp is the unit of thread scheduling in SMs. Fig. 3.thirteen shows the partitioning of blocks into warps in an implementation. Each warp consists of 32 threads of consecutive threadIdx values: thread 0 through 31 course the starting time warp, 32 through 63 the 2d warp, and and so on. In this case, 3 blocks—Cake i, Block ii, and Block three—are assigned to an SM. Each of the three blocks is further divided into warps for scheduling purposes.
We can calculate the number of warps that reside in an SM for a given block size and a given number of blocks assigned to each SM. In Fig. 3.13, if each block has 256 threads, we can make up one's mind that each block has 256/32 or viii warps. With three blocks in each SM, we have 8 ×3 =24 warps in each SM.
An SM is designed to execute all threads in a warp following the Unmarried Instruction, Multiple Data (SIMD) model—i.due east., at any instant in fourth dimension, one pedagogy is fetched and executed for all threads in the warp. This situation is illustrated in Fig. three.13 with a single instruction fetch/dispatch shared among execution units (SPs) in the SM. These threads will employ the same education to different portions of the data. Consequently, all threads in a warp volition always have the same execution timing.
Fig. three.thirteen also shows a number of hardware Streaming Processors (SPs) that actually execute instructions. In general, there are fewer SPs than the threads assigned to each SM; i.e., each SM has only enough hardware to execute instructions from a pocket-size subset of all threads assigned to the SM at any signal in fourth dimension. In early GPU designs, each SM tin can execute only one education for a single warp at whatsoever given instant. In recent designs, each SM can execute instructions for a pocket-sized number of warps at whatsoever point in fourth dimension. In either case, the hardware can execute instructions for a minor subset of all warps in the SM. A legitimate question is why nosotros need to have so many warps in an SM if information technology can just execute a modest subset of them at any instant. The answer is that this is how CUDA processors efficiently execute long-latency operations, such equally global memory accesses.
When an instruction to be executed by a warp needs to wait for the result of a previously initiated long-latency functioning, the warp is non selected for execution. Instead, another resident warp that is no longer waiting for results will be selected for execution. If more than one warp is ready for execution, a priority mechanism is used to select one for execution. This mechanism of filling the latency fourth dimension of operations with work from other threads is oft called "latency tolerance" or "latency hiding" (see "Latency Tolerance" sidebar).
Warp scheduling is also used for tolerating other types of operation latencies, such equally pipelined floating-signal arithmetic and branch instructions. Given a sufficient number of warps, the hardware will probable find a warp to execute at any signal in time, thus making full use of the execution hardware in spite of these long-latency operations. The selection of ready warps for execution avoids introducing idle or wasted time into the execution timeline, which is referred to as cipher-overhead thread scheduling. With warp scheduling, the long waiting time of warp instructions is "subconscious" by executing instructions from other warps. This ability to tolerate long-latency operations is the main reason GPUs do not dedicate almost as much chip area to cache memories and branch prediction mechanisms as do CPUs. Thus, GPUs can dedicate more of its scrap area to floating-point execution resource.
Latency Tolerance
Latency tolerance is also needed in various everyday situations. For instance, in mail offices, each person trying to ship a bundle should ideally accept filled out all necessary forms and labels before going to the service counter. Instead, some people wait for the service desk clerk to tell them which course to fill out and how to fill out the form.
When there is a long line in front of the service desk, the productivity of the service clerks has to exist maximized. Letting a person fill up out the form in front of the clerk while everyone waits is non an efficient approach. The clerk should be assisting the other customers who are waiting in line while the person fills out the class. These other customers are "ready to go" and should non be blocked by the customer who needs more than time to fill up out a form.
Thus, a good clerk would politely ask the first customer to footstep aside to fill out the grade while he/she tin serve other customers. In the majority of cases, the first customer will be served as soon equally that customer accomplishes the form and the clerk finishes serving the current customer, instead of that customer going to the end of the line.
We tin can retrieve of these post part customers as warps and the clerk as a hardware execution unit. The customer that needs to make full out the form corresponds to a warp whose continued execution is dependent on a long-latency performance.
We are at present set for a elementary practice. 3 Assume that a CUDA device allows upward to 8 blocks and 1024 threads per SM, whichever becomes a limitation first. Furthermore, information technology allows up to 512 threads in each block. For prototype mistiness, should we apply 8 ×8, 16 ×xvi, or 32 ×32 thread blocks? To respond the question, nosotros tin analyze the pros and cons of each choice. If we use viii ×8 blocks, each block would take merely 64 threads. We will demand 1024/64 =12 blocks to fully occupy an SM. Nonetheless, each SM can only allow up to 8 blocks; thus, we volition end up with only 64 ×8 =512 threads in each SM. This limited number implies that the SM execution resource volition probable be underutilized because fewer warps volition exist available to schedule around long-latency operations.
The sixteen ×16 blocks result in 256 threads per block, implying that each SM can take 1024/256 =four blocks. This number is within the 8-cake limitation and is a expert configuration as it volition allow the states a full thread capacity in each SM and a maximal number of warps for scheduling effectually the long-latency operations. The 32 ×32 blocks would give 1024 threads in each block, which exceeds the 512 threads per cake limitation of this device. Only 16 ×16 blocks let a maximal number of threads assigned to each SM.
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INTRODUCTION TO THE ARM INSTRUCTION SET
ANDREW North. SLOSS , ... CHRIS WRIGHT , in ARM Arrangement Developer'due south Guide, 2004
three.9 SUMMARY
In this affiliate we covered the ARM didactics set. All ARM instructions are 32 $.25 in length. The arithmetic, logical, comparisons, and motility instructions tin can all apply the inline butt shifter, which pre-processes the second annals Rm before it enters into the ALU.
The ARM instruction gear up has three types of load-shop instructions: unmarried-register load-shop, multiple-register load-store, and swap. The multiple load-store instructions provide the push button-popular operations on the stack. The ARM-Pollex Procedure Call Standard (ATPCS) defines the stack as being a full descending stack.
The software interrupt instruction causes a software interrupt that forces the processor into SVC style; this pedagogy invokes privileged operating arrangement routines. The programme status annals instructions write and read to the cpsr and spsr. There are too special pseudoinstructions that optimize the loading of 32-scrap constants.
The ARMv5E extensions include count leading zeros, saturation, and improved multiply instructions. The count leading zeros didactics counts the number of binary zeros before the first binary one. Saturation handles arithmetic calculations that overflow a 32-bit integer value. The improved multiply instructions provide better flexibility in multiplying 16-bit values.
Most ARM instructions can be conditionally executed, which can dramatically reduce the number of instructions required to perform a specific algorithm.
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Smarter systems and the PIC 18F2420
Tim Wilmshurst , in Designing Embedded Systems with Motion picture Microcontrollers (Second Edition), 2010
New instructions
Finally, there are many instructions that are just obviously new. These derive in many cases from enhanced hardware or retention addressing techniques. Meaning among arithmetic instructions is the multiply, available as mulwf (multiply Due west and f) and mullw (multiply Due west and literal). These invoke the hardware multiplier, seen already in Figure thirteen.2. Multiplier and multiplicand are viewed equally unsigned, and the result is placed in the registers PRODH and PRODL. It is worth noting that the multiply instructions cause no change to the Status flags, fifty-fifty though a zero consequence is possible.
Other of import additions to the didactics set are a whole block of Table Read and Write instructions, data transfer to and from the Stack, and a good pick of conditional branch instructions, which build upon the increased number of status flags in the Status register. There are also instructions that contribute to conditional branching. These include the group of compares, for example cpfseq, and the test instruction, tstfsz.
A useful new move education is movff, which gives a direct move from 1 memory location to some other. This codes in 2 words and takes two cycles to execute. Therefore, its advantage over the two 16 Series instructions which it replaces may seem slight. It does, however, save the value of the W register from being overwritten.
Some of these new instructions will be explored in the program instance and exercises of Section 13.10.
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Using CUDA in Practice
Shane Cook , in CUDA Programming, 2013
Memory versus operations tradeoff
With near algorithms it's possible to trade an increased retention footprint for a decreased execution fourth dimension. It depends significantly on the speed of memory versus the cost and number of arithmetic instructions being traded.
There are implementations of AES that merely expand the operations of the substitution, shift rows left, and mix columns performance to a series of lookups. With a 32-bit processor, this requires a 4 Grand constant table and a pocket-size number of lookup and bitwise operations. Providing the four One thousand lookup table remains in the cache, the execution time is greatly reduced using such a method on most processors. We will, withal, implement at least initially the total algorithm before we wait to this type of optimization.
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Which Of The Following Blocks Of Instructions Will Multiply The Contents Of The Edx Register By 40?,
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