Mojo module

id

This module provides GPU thread and block indexing functionality.

It defines aliases and functions for accessing GPU grid, block, thread and cluster dimensions and indices. These are essential primitives for GPU programming that allow code to determine its position and dimensions within the GPU execution hierarchy.

Most functionality is architecture-agnostic, with some NVIDIA-specific features clearly marked. The module is designed to work seamlessly across different GPU architectures while providing optimal performance through hardware-specific optimizations where applicable.

Aliases

block_dim = _BlockDim(): Contains the dimensions of the block as x, y, and z values (for example, block_dim.y)
block_id_in_cluster = _Cluster_BlockIdx(): Contains the block id of the threadblock within a cluster, as x, y, and z values.
block_idx = _BlockIdx(): Contains the block index in the grid, as x, y, and z values.
cluster_dim = _ClusterDim(): Contains the dimensions of the cluster, as x, y, and z values.
cluster_idx = _ClusterIdx(): Contains the cluster index in the grid, as x, y, and z values.
global_idx = _GridIdx(): Contains the global offset of the kernel launch, as x, y, and z values.
grid_dim = _GridDim(): Provides accessors for getting the x, y, and z dimensions of a grid.
thread_idx = _ThreadIdx(): Contains the thread index in the block, as x, y, and z values.

Functions

lane_id: Returns the lane ID of the current thread within its warp.
sm_id: Returns the Streaming Multiprocessor (SM) ID of the current thread.
warp_id: Returns the warp ID of the current thread within its block. The warp ID is a unique identifier for each warp within a block, ranging from 0 to BLOCK_SIZE/WARP_SIZE-1. This ID is commonly used for warp-level programming and synchronization within a block.

Aliases​

Functions​

Aliases

Functions