Search help

Note: Searching from the top-level index page will search all documents. Searching from a specific document will search only that document.

Find an exact phrase: Wrap your search phrase in "" (double quotes) to only get results where the phrase is exactly matched. For example "PyTorch for the IPU" or "replicated tensor sharding"

Prefix query: Add an * (asterisk) at the end of any word to indicate a prefix query. This will return results containing all words with the specific prefix. For example tensor*

Fuzzy search: Use ~N (tilde followed by a number) at the end of any word for a fuzzy search. This will return results that are similar to the search word. N specifies the “edit distance” (fuzziness) of the match. For example Polibs~1

Words close to each other: ~N (tilde followed by a number) after a phrase (in quotes) returns results where the words are close to each other. N is the maximum number of positions allowed between matching words. For example "ipu version"~2

Logical operators. You can use the following logical operators in a search:

+ signifies AND operation
| signifies OR operation
- negates a single word or phrase (returns results without that word or phrase)
() controls operator precedence

1. Introduction

The Graphcore Communication Library (GCL) contains functions for executing collective operations over data tensors, making the tensor data collective-friendly and allowing IO-tile allocation on the IPUs.

GCL enables high-performance scale-out for IPU systems. GCL utilises the IPU´s built-in hardware support for transferring data directly from the the memory of one IPU to another via the IPU-Fabric. The result is a low-overhead, high-throughput communication library, specifically targeted at systems such as the Pod₁₂₈.

The library is used by other frameworks, such as TensorFlow, to implement functions such as data-parallel gradient reductions using all-reduce.

See also the Poplar and PopLibs User Guide for an introduction to the Poplar Graph Programming Framework.