AI and ML accelerator survey and trends
A Reuther, P Michaleas, M Jones… - 2022 IEEE High …, 2022 - ieeexplore.ieee.org
This paper updates the survey of AI accelerators and processors from past three years. This
paper collects and summarizes the current commercial accelerators that have been publicly …
paper collects and summarizes the current commercial accelerators that have been publicly …
Simulation of quantum many-body dynamics with tensor processing units: Floquet prethermalization
Tensor processing units (TPUs) are specialized hardware accelerators developed by
Google to support large-scale machine-learning tasks but they can also be leveraged to …
Google to support large-scale machine-learning tasks but they can also be leveraged to …
Large scale quantum chemistry with tensor processing units
We demonstrate the use of Googles cloud-based Tensor Processing Units (TPUs) to
accelerate and scale up conventional (cubic-scaling) density functional theory (DFT) …
accelerate and scale up conventional (cubic-scaling) density functional theory (DFT) …
Co-Design quantum simulation of nanoscale NMR
Quantum computers have the potential to efficiently simulate the dynamics of nanoscale
NMR systems. In this work, we demonstrate that a noisy intermediate-scale quantum …
NMR systems. In this work, we demonstrate that a noisy intermediate-scale quantum …
Solving the discretised neutron diffusion equations using neural networks
TRF Phillips, CE Heaney, B Chen… - International Journal …, 2023 - Wiley Online Library
This paper presents a new approach which uses the tools within artificial intelligence (AI)
software libraries as an alternative way of solving partial differential equations (PDEs) that …
software libraries as an alternative way of solving partial differential equations (PDEs) that …
SIMD2 a generalized matrix instruction set for accelerating tensor computation beyond GEMM
Matrix-multiplication units (MXUs) are now prevalent in every computing platform. The key
attribute that makes MXUs so successful is the semiring structure, which allows tiling for both …
attribute that makes MXUs so successful is the semiring structure, which allows tiling for both …
Simulation of quantum physics with tensor processing units: brute-force computation of ground states and time evolution
Tensor Processing Units (TPUs) were developed by Google exclusively to support large-
scale machine learning tasks. TPUs can, however, also be used to accelerate and scale up …
scale machine learning tasks. TPUs can, however, also be used to accelerate and scale up …
Simplified Prediction Method for Detecting the Emergency Braking Intention Using EEG and a CNN Trained with a 2D Matrices Tensor Arrangement
The driver's mental state is frequently detected employing EEG signals which are usually
converted into grayscale images to train a Machine Learning algorithm that classifies his …
converted into grayscale images to train a Machine Learning algorithm that classifies his …
Nonuniform fast Fourier transform on TPUs
This work presents a parallel algorithm for implementing the nonuniform Fast Fourier
transform (NUFFT) on Google's Tensor Processing Units (TPUs). TPU is a hardware …
transform (NUFFT) on Google's Tensor Processing Units (TPUs). TPU is a hardware …
Hardware acceleration of explainable machine learning
Machine learning (ML) is successful in achieving human-level performance in various fields.
However, it lacks the ability to explain an outcome due to its black-box nature. While recent …
However, it lacks the ability to explain an outcome due to its black-box nature. While recent …