sub GPU Virtual ISA NVIDIA
Subtract Arithmetic
sub.type d, a, b;
Subtract the second operand from the first, with optional saturation for signed 32-bit integers.
Encoding
PTX is a virtual instruction set. It has no single, stable native
binary encoding - the compiler lowers this instruction to different native machine
code depending on the selected NVIDIA target architecture (compute capability).
This page intentionally shows no bit-diagram; see the target/version requirements
below for what governs how this instruction compiles.
Syntax Forms
One mnemonic covers many type / state-space / scope / modifier combinations - each row below is an independently valid form.
| Syntax | Data Types | State Space(s) | Modifiers | Min. Target | Description |
|---|---|---|---|---|---|
| sub.type d, a, b; | s16, s32, s64, u16, u32, u64, f32, f64 | sm_10 | Generic subtract across integer and floating-point types. | ||
| sub.sat.s32 d, a, b; | s32 | sat | sm_10 | Signed 32-bit subtract with saturation. |
Operands
-
d
Destination register -
a
Minuend -
b
Subtrahend
Reference
NVIDIA PTX ISA
Description
Performs subtraction and writes the resulting value into a destination register.
For.f16x2 and.bf16x2 instruction type, forms input vectors by half word values from source
operands. Half-word operands are then subtracted in parallel to produce.f16x2 or.bf16x2 result in destination.
For.f16 instruction type, operands d, a and b have.f16 or.b16 type. For.f16x2 instruction type, operands d, a and b have.b32 type. For.bf16 instruction type, operands d, a, b have.b16 type. For.bf16x2 instruction type,
operands d, a, b have.b32 type.
Semantics
d = a - b.
Examples
sub.s32 c,a,b;
sub.u8x4 p, q, r;
sub.f32 c,a,b;
sub.rn.ftz.f32 f1,f2,f3;
// scalar f16 subtractions
sub.f16 d0, a0, b0;
sub.rn.f16 d1, a1, b1;
sub.bf16 bd0, ba0, bb0;
sub.rn.bf16 bd1, ba1, bb1;
// (truncated - see the official PTX ISA docs for the full example)
.reg .f32 fc, fd;
.reg .f16 ha;
sub.rz.f32.f16.sat fd, ha, fc;Reproduced from NVIDIA's official PTX ISA documentation for technical accuracy.
Sources
-
Parallel Thread Execution ISA ↗
- NVIDIA Corporation, Chapter 9 - Instruction Set
Deep-linked directly to this instruction's section.