PyTorch interface for the IPU
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Updated
Oct 11, 2023 - C++
PyTorch interface for the IPU
TensorFlow for the IPU
JAX for Graphcore IPU (experimental)
TessellateIPU: low level Poplar tile programming from Python
Poplar Advanced Runtime for the IPU
Track reconstruction on the Graphcore IPU.
Poplar implementation of FlashAttention for IPU
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A PyTorch library for Knowledge Graph Embedding on Graphcore IPUs implementing the distribution framework BESS
Code for CoNLL BabyLM workshop Mini Minds: Exploring Bebeshka and Zlata Baby Models
Parallel Goodman & Weare MCMC sampling on the Graphcore IPU
An implementation of the Search by Triplet track reconstruction algorithm on the Graphcore IPU.
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We evaluate SNNs' performance and energy efficiency on CPUs, GPUs, and IPUs using a simulation framework and benchmark dataset. Our study aims to identify the optimal computing device for SNNs and contribute to energy-efficient machine learning.
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