Compound Memory Models
نویسندگان
چکیده
Today's mobile, desktop, and server processors are heterogeneous, consisting not only of CPUs but also GPUs other accelerators. Such heterogeneous starting to expose a shared memory interface across these devices.Given that each individual devices typically supports distinct instruction set architecture consistency model, it is clear what the model machine should be. In this paper, we answer question by formalizing "compound" models: present compositional operational describing resulting when with models fused together. We instantiate our compound x86TSO/PTX -- CPU enforcing x86TSO GPU PTX model. A key result retains compiler mappings from language-based (scoped) C This means threads mapped device can continue use already proven C-to-x86TSO mapping, same for PTX.
منابع مشابه
Simulation of compound hierarchical models
Hierarchical probability models are widely used for data classified in a treelike structure and in Bayesian inference. The main characteristic of such models is to have the probability law at some level in the classification structure be conditional on the outcome in previous levels. For example, adopting a bottom to top description of the model, a simple hierarchical model could be written as ...
متن کاملcplm : Compound Poisson Linear Models
The Tweedie compound Poisson distribution is a mixture of a degenerate distribution at the origin and a continuous distribution on the positive real line. It has been applied in a wide range of fields in which continuous data with exact zeros regularly arise. Nevertheless, statistical inference based on full likelihood and Bayesian methods is not available in most statistical software, largely ...
متن کاملBilingual Memory Storage: Compound-Coordinate and Derivatives
A recurring theoretical issue in the study of bilingualism concerns the manner in which speakers of one or more languages might store their languages in memory. Figure 1 shows a plausible semantic network organization for the Spanish-English interlingual homograph red. Interlingual homographs are words across languages that are similar in form, but different in meaning (Degani and Tokowicz 2010...
متن کاملTwo Compound Random Field Texture Models
Two novel models for texture representation using parametric compound random field models are introduced. These models consist of a set of several sub-models each having different characteristics along with an underlying structure model which controls transitions between them. The structure model is a two-dimensional probabilistic mixture model either of the Bernoulli or Gaussian mixture type. ...
متن کاملLearning to Learn with Compound HD Models
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian models. Specifically we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a Deep Boltzmann Machine (DBM). This compound HDP-DBM model learns to learn novel concepts ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ACM on programming languages
سال: 2023
ISSN: ['2475-1421']
DOI: https://doi.org/10.1145/3591267