We demonstrate that several algorithmic transformations, traditionally hand-tuned by DSP experts, can be completely automated by the compiler. First, we present a linear extraction analysis that automatically detects linear filters from the C-like code in their work function. Then, we give a procedur...
The non-batch solvers can now take in a lambda function instead of requiring a class variable as it's input. This design change does result in some minor breaking changes from versions of the code before v0.4.0. Mainly in that the dimension of the system must now be passed in as templa...
We identify two important features to enhance the design of communication protocols specified in the pi-calculus, that are linear and static channels, and present a compiler, named GoPi, that maps high level specifications into executable Go programs. Channels declared as linear are deadlock-free,...
In this study, we implement and characterize an explicit finite difference method solver for a select class of PDE initial value problems. The goal of this paper is twofold. First, to assess the efficacy of expressing numerical analysis problems in machine learning domain-specific languages, such ...
Support in-memory or on-disk data Follow established conventions around tools for RNA-seq analysis Present a simple user-interface Avoid unnecessary dependencies Make integration into other tools easy Installation You can install the release version ofglmGamPoifrom BioConductor: ...
Complexity in fitting Linear Mixed Models Linear mixed-effects models are increasingly used for the analysis of data from experiments in fields like psychology where several subjects are each exposed to each of several different items. In addition to a response, which here will be assumed to be ...
What is taxonomy in computer science? How is coding done in content analysis? How is big data related to business intelligence? What is a neural network in artificial intelligence? How is artificial intelligence programmed? Why do digital computers use binary numbers for their operation?
Empirical analysis The operation in one linear layer can be viewed as the inner product of the data matrix x and the weight matrix w (ignoring bias), thus it can be written as:〈x,w〉=‖x‖2‖w‖2cos(θ), where θ is the included angle between x and w. ReLU and its variants ex...
Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy and speed. In the alignment of a family of protein sequences, global MSA algorithms pe
Our method leverages linear algebra computation properties to merge operators in machine learning predictions and data processing, significantly accelerating predictive pipelines by up to 317x. We perform a complexity analysis to deliver quantitative insights into the advantages of operator fusion, ...