AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference.
Jaehyun ParkJaewan ChoiKwanhee KyungMichael Jaemin KimYongsuk KwonNam Sung KimJung Ho AhnPublished in: ASPLOS (2) (2024)
Keyphrases
- generative model
- boltzmann machine
- markov chain monte carlo
- probabilistic model
- mixture model
- bayesian framework
- discriminative learning
- power consumption
- pitman yor process
- dirichlet process mixture models
- em algorithm
- conditional random fields
- posterior probability
- expectation maximization
- bayesian networks
- gibbs sampling
- latent dirichlet allocation
- topic models
- semi supervised
- probabilistic inference
- bayesian model
- prior knowledge
- structured prediction
- generative and discriminative models
- dirichlet process
- discriminative models
- bayesian inference
- multiscale