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
Code for CoNLL BabyLM workshop Mini Minds: Exploring Bebeshka and Zlata Baby Models
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
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Parallel Goodman & Weare MCMC sampling on the Graphcore IPU
An implementation of the Search by Triplet track reconstruction algorithm on the Graphcore IPU.
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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