Alphabetical List of All Documents
A | B | C | D | E | G | I | J | K | M | O | P | R | S | T | U | V
A
- AI Software Stack is Now Customer-Driven
A white paper from Cambrian AI Research examining the growing momentum of the Poplar software stack and ecosystem
- Apache License 2.0
TensorFlow for the IPU is licensed under the Apache License 2.0
- Approved Servers
Specification of servers approved for use with IPU-Machines and IPU-POD systems.
B
- BMC User Guide
User guide that defines the functions and the interfaces provided by the BMC software on an IPU-Machine (IPU-M2000 and Bow-2000).
- Bow Pod Direct Attach Build and Test Guide
Instructions for assembling the hardware, installing the software, and then testing a single Bow-2000 direct attach system.
- Bow Pod Expansion Guide
Instructions to expand Bow Pod systems. Expansions described: Bow Pod16 direct attach to Bow Pod64, and Bow Pod64 to larger Bow Pod systems.
- Bow Pod16 Reference Design Datasheet
Technical specifications for the Bow Pod16 reference design.
- Bow Pod256 Reference Design Datasheet
Technical specifications for the Bow Pod256.
- Bow Pod64 Reference Design Datasheet
Technical specifications for the Bow Pod64 reference design.
- Bow Pod64 Reference Design: Build and Test Guide
Instructions for assembling the hardware, installing the software, and then testing a Bow Pod64 system.
- Bow-2000 IPU-Machine Datasheet
Technical specifications for the Bow-2000 IPU-Machine.
C
- C600 Datasheet
Technical specification for the C600 PCIe Gen4 card.
- C600 PCIe Accelerator: Power and Thermal Control
Power consumption, fan control, and thermal protection mechanisms for C600 cards
- C600 PCIe SMBus Interface
SMBus specification for C600 cards
- C600 数据手册
C600 Gen4卡技术参数
- Command Line Tools
User guide for the command line tools that provide information on the current status of the connected hardware. These tools are included with the Poplar SDK.
- Contribution License Agreement (CLA)
Terms for contributing to Graphcore open source projects
- Creating Custom Operations for the IPU
An overview of the steps for implementing a custom op in each of the frameworks available in the Poplar SDK
D
- Dictionary of Graphcore Terminology
A dictionary of specialised terms related to Graphcore technology
E
G
- GCL User Guide and API Reference
Description of the classes and functions in the GCL library
- Gcore Cloud: Getting Started with IPUs
How to access IPUs and run ML applications on the Gcore Cloud
- Getting Started with Bow Pod and IPU-POD Systems
Installing the Poplar SDK and setting up the IPU-POD ready to run your application
- Getting Started with Graphcloud
How to access IPUs and run ML applications on Graphcloud
- Glossary
A dictionary of specialised terms related to Graphcore technology
- Graphcore Approved Servers
Specification of servers approved for use with IPU-Machines and IPU-POD systems.
- Graphcore Command Line Tools
User guide for the command line tools that provide information on the current status of the connected hardware. These tools are included with the Poplar SDK.
- Graphcore IPU Based Systems with Weka Data Platform
An example reference architecture has been developed in partnership with Weka using the Weka data platform for AI with a Graphcore Pod.
- Graphcore IPU Info Library (gcipuinfo)
User guide for the Graphcore IPU Info library (gcipuinfo). This library provides an API for monitoring and gathering information about the IPUs available in a system, and the applications using them.
- Graphcore OpenStack Reference Design for IPU-POD Systems
A reference configuration of an IPU‑POD64 deployed with OpenStack management software
- Graphcore Pod with DDN Storage
An example reference architecture has been developed in partnership with DDN storage solutions using a DDN AI400X2 storage system with a Graphcore Pod.
- Graphcore’s AI Software Stack is Now Customer-Driven
A white paper from Cambrian AI Research examining the growing momentum of the Poplar software stack and ecosystem
I
ICU C600 Firmware Release Notes
- ICU Recovery Mode (911)
Information for recovering from ICU error states, for example after a failed firmware update.
- IPU Based Systems with Weka Data Platform
An example reference architecture has been developed in partnership with Weka using the Weka data platform for AI with a Graphcore Pod.
- IPU Inference Toolkit Quick Start
Deploy a trained model to a C600 IPU
- IPU Inference Toolkit User Guide
Deploy trained models to Graphcore IPU products conveniently and quickly
- IPU Info Library (gcipuinfo)
User guide for the Graphcore IPU Info library (gcipuinfo). This library provides an API for monitoring and gathering information about the IPUs available in a system, and the applications using them.
- IPU Programmer’s Guide
An introduction to the IPU architecture, programming model and tools available
- IPU TensorFlow Serving 1 User Guide
Information on exporting models from TensorFlow 1 and running them on IPUs using TensorFlow Serving
- IPU TensorFlow Serving 2 User Guide
Information on exporting models from TensorFlow 2 and running them on IPUs using TensorFlow Serving
- IPU 推理工具包快速入门
将训练后的模型部署到 C600 IPU
- IPU 推理工具包用户指南
方便快捷地将训练好的模型部署到Graphcore IPU产品
- IPU-M2000 IPU-Machine Datasheet
Technical specifications for the IPU-M2000 IPU-Machine.
- IPU-POD Direct Attach Build and Test Guide
Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD16 system.
- IPU-POD Expansion Guide
Instructions to expand IPU-POD systems. Expansions described: IPU‑POD4 direct attach to IPU‑POD16 direct attach, IPU‑POD16 direct attach to IPU‑POD64 and IPU‑POD64 to larger IPU-POD systems.
- IPU-POD128 Data Centre Checklist
A checklist to confirm requirements for data centres installing IPU‑POD128 systems.
- IPU-POD128 Reference Design Datasheet
Technical specifications for the IPU‑POD128.
- IPU-POD128 Reference Design: Build and Test Guide
Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD128 system.
- IPU-POD16 Direct Attach Datasheet
Technical specifications for the IPU‑POD16.
- IPU-POD64 Reference Design: Build and Test Guide
Instructions for assembling the hardware, installing the software, and then testing an IPU‑POD64 system.
- IPU-POD64 Data Centre Checklist
A checklist to confirm requirements for data centres installing IPU‑POD64 systems.
- IPU-POD64 Reference Design Datasheet
Technical specifications for the IPU‑POD64.
- IPU-POD64 Reference Design: Installation and Integration Guide
Requirements and a high-level best practice guide for deploying the IPU‑POD64 into a data centre environment.
J
- Jupyter Notebook Quick Start
Run an application on IPUs from a Jupyter Notebook
K
- Keras with IPUs
The Graphcore implementation of TensorFlow 2 includes Keras support for IPUs
- Kubernetes IPU Device Plugin License
License details for use of the Kubernetes IPU Device Plugin
- Kubernetes IPU Device Plugin User Guide
Manage IPU resources
- Kubernetes IPU Device Plugin 用户手册
管理IPU资源
- Kubernetes IPU Operator License
License details for use of the Kubernetes IPU Operator
Kubernetes IPU Operator Release Notes
- Kubernetes IPU Operator User Guide
Kubernetes Operator support for IPUs.
M
- Memory and Performance Optimisation on the IPU
Optimising high-performance machine learning models running on the IPU
- MIT license
PopLibs, PopTorch, PopART and Poprithms are licensed under the MIT license
- Mixed-Precision Arithmetic for AI: A Hardware Perspective
The IPU’s hardware and software architectures support fast and efficient training and inference of deep learning models using mixed precision arithmetic
- Model Parallelism on the IPU with TensorFlow: Sharding and Pipelining
Ways of parallelising TensorFlow models on IPU hardware
- Model Runtime: User Guide
A library built on the Poplar runtime to enable loading and running models stored in the Poplar Exchange Format (PopEF) on the IPU.
- Monitoring Hardware Quick Start
Some tips on how to troubleshoot possible hardware problems
O
- OpenStack Reference Design for IPU-POD Systems
A reference configuration of an IPU‑POD64 deployed with OpenStack management software
- Optimising for the IPU: Computational Graph Recompilation and Executable Switching in TensorFlow
Strategies to minimise recompilation when running code on the IPU
- Optimising Temporary Memory Usage for Convolutions and Matmuls on the IPU
Using the “available memory proportion” option to optimise memory use or performance
P
- Paperspace: Getting Started with IPUs
How to access IPUs and run ML applications on Paperspace
- Pod Deployment Datacentre Checklist
A checklist to confirm requirements for data centres installing Pod systems.
- Pod Maintenance Guide
User guide that describes how to replace field-serviceable parts in a Pod system or in an IPU-Machine.
- Pod with DDN Storage
An example reference architecture has been developed in partnership with DDN storage solutions using a DDN AI400X2 storage system with a Graphcore Pod.
- PopART User Guide
The Poplar Advanced Runtime (PopART) for importing and executing models using the ONNX format
- PopDist and PopRun: User Guide
Command-line tool and API to support running distributed applications across multiple IPUs.
- PopEF: User Guide
A file format for exporting and importing models to run on the IPU, and a library for managing those files
- Poplar and PopLibs API Reference
Description of the classes and functions in the Poplar and PopLibs libraries
- Poplar and PopLibs User Guide
Information on how to use the Poplar graph programming tools to write code for the IPU
- Poplar Quick Start
Run an application directly in the Poplar Graph Programming Framework
- Poplar SDK Overview
A description of the Poplar SDK with instructions for downloading and installing
- Poplar Triton Backend: User Guide
Information on the Poplar Triton backend: what it is used for, how to install it and how to use it
- PopRT User Guide
Tool for converting and compiling trained models for running on a C600 IPU
- PopRT 用户指南
工具：转换和编译在 C600 IPU 上运行的训练好的模型
- PopSparse Matrix Multiplication (Dynamic Pattern) on the IPU
A high-level description of the algorithmic design of the dynamic sparse matrix multiplication in the Graphcore PopSparse library
- PopVision Analysis Library (libpva) User Guide
The PopVision analysis library can be used for programmatic analysis of Poplar profiling information
PopVision Graph Analyser Release Notes
- PopVision Graph Analyser User Guide
The Graph Analyser can be downloaded from the PopVision tools web page
PopVision System Analyser Release Notes
- PopVision System Analyser User Guide
The System Analyser can be downloaded from the PopVision tools web page
- PopVision Trace Instrumentation Library
The PopVision trace instrumentation library provides functions to capture data used by the PopVision System Analyser
- PopXL User Guide and API (experimental)
User Guide and API reference for working with PopXL
- Porting TensorFlow 1 models to the IPU
A practical guide to porting TensorFlow models to the IPU using the Poplar SDK.
- Porting TensorFlow 2 Models Quick Start
A short description of how to port TensorFlow 2 models to the IPU, including code snippets to help
- Pre-Training and Fine-Tuning BERT for the IPU
BERT-Large implementation on Graphcore IPU-POD systems, using both TensorFlow and PyTorch
- Profiling Quick Start
Profile code that runs on the IPU as well as code that runs on the host server
- PyTorch for the IPU: User Guide
User guide and API reference for PyTorch on the IPU
- PyTorch Geometric for the IPU: User Guide
User guide and API reference for PyTorch Geometric on the IPU
- PyTorch Geometric Quick Start
Summary of the resources available to get started with using PyTorch Geometric on IPUs
- PyTorch Quick Start
Run a PyTorch application
R
- rack_tool(1)
User guide for the tool that allows you to perform operations related to one or more IPU-Machines in a rack.
S
- Scaling AI with Graphcore and Pure Storage
An example reference architecture, developed with Pure Storage, using FlashBlade storage with the IPU-POD
- Switched GW-Links in large scale Pod systems
Using switched GW-Links to connect IPU-Machines in large-scale switched Pod systems
- Switching from GPUs to IPUs for Machine Learning Models
High-level overview of the programming changes required when switching from GPUs to IPUs.
T
- Targeting the IPU from TensorFlow 1
User guide and API reference for the IPU implementation of TensorFlow 1
- Targeting the IPU from TensorFlow 2
User guide and API reference for the IPU implementation of TensorFlow 2
- TensorFlow 1 User Guide
User guide and API reference for the IPU implementation of TensorFlow 1
- TensorFlow 2 Quick Start
Run a TensorFlow 2 application
- TensorFlow 2 User Guide
User guide and API reference for the IPU implementation of TensorFlow 2
- Tile Vertex Instruction Set Architecture
Tile vertex instruction set architecture (ISA) documents for the IPU. This contains the subset of instructions used by the worker threads.
- Tutorials
Tutorials to help you get started using the Poplar SDK and Graphcore tools to run code on the IPU. You can also access these from the GitHub examples repository.
U
- Using IPUs from Docker
User guide for the pre-built Graphcore Docker containers for Poplar SDK components
- Using MACVLAN with Kubernetes
Using Kubernetes with MACVLAN to provide access to the RDMA network interface.
V
- V-IPU Administrator Guide
User guide for administrators of data centre clusters based on the Graphcore® Virtual-IPU™ (V-IPU). The V-IPU management software provides a control plane for large-scale multi-tenanted deployments of IPUs.
V-IPU Slurm Workload Manager Release Notes
- V-IPU User Guide
User guide for users of data centre clusters based on the Graphcore® Virtual-IPU™ (V-IPU). The V-IPU management software provides a control plane for large-scale multi-tenanted deployments of IPUs.