Media Summary: This talk was presented as part of JuliaCon2021 Abstract: Modern databases can choose between two approaches to evaluating ... Presented by Arch Robison at JuliaCon 2014. This talk will present how basic operations on vectors, like summation and dot products, can be made more accurate with respect ...

Vectorized Query Evaluation In Julia - Detailed Analysis & Overview

This talk was presented as part of JuliaCon2021 Abstract: Modern databases can choose between two approaches to evaluating ... Presented by Arch Robison at JuliaCon 2014. This talk will present how basic operations on vectors, like summation and dot products, can be made more accurate with respect ... We present a preliminary version of a SIMD- In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. julialang Today I get to Plotting! In science making a pretty and understandable plot is necessary to ...

This talk will introduce the Queryverse family of packages, a unified data science stack on We look at some simple commands to inspect vectors in 1/20/21 meetup Evan Patterson describes his recent work pitching data scientists on the merits of CT + relational DBs, such as ... In this tutorial, Professor David Anthoff from UC Berkeley introduces us to Queryverse. I show you how to: - Open a CSV file, - Read that file into a DataFrame - SIMD (Single Instruction, Multiple Data) is a term for when the processor executes the same operation (like addition) on multiple ...

Photo Gallery

Vectorized Query Evaluation in Julia | Richard Gankema, Alex Hall | JuliaCon2021
Practical Vectorization in Julia | Arch Robison | JuliaCon 2014
Query.jl: Query Almost Anything in Julia | David Anthoff | JuliaCon 2017
JuliaCon 2020 | Accurate and Efficiently Vectorized Sums and Dot Products | François Févotte
SIMD-vectorized Implementation of High Order IRK Integrators | Mikel | JuliaCon 2022
Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization
Julia Basics 6A: Using Plots and Vectorized Dot Operators
Queryverse | David Anthoff | JuliaCon 2018
Julia Programming Tutorial: Inspecting Vectors and Arrays
C-sets for data analysis: relational data and conjunctive queries in Julia
Intro to the Queryverse, a Julia data science stack | David Anthoff
How to READ in CSV files in Julia (And @Query them!)
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Vectorized Query Evaluation in Julia | Richard Gankema, Alex Hall | JuliaCon2021

Vectorized Query Evaluation in Julia | Richard Gankema, Alex Hall | JuliaCon2021

This talk was presented as part of JuliaCon2021 Abstract: Modern databases can choose between two approaches to evaluating ...

Practical Vectorization in Julia | Arch Robison | JuliaCon 2014

Practical Vectorization in Julia | Arch Robison | JuliaCon 2014

Presented by Arch Robison at JuliaCon 2014.

Query.jl: Query Almost Anything in Julia | David Anthoff | JuliaCon 2017

Query.jl: Query Almost Anything in Julia | David Anthoff | JuliaCon 2017

Visit http://julialang.org/ to download

JuliaCon 2020 | Accurate and Efficiently Vectorized Sums and Dot Products | François Févotte

JuliaCon 2020 | Accurate and Efficiently Vectorized Sums and Dot Products | François Févotte

This talk will present how basic operations on vectors, like summation and dot products, can be made more accurate with respect ...

SIMD-vectorized Implementation of High Order IRK Integrators | Mikel | JuliaCon 2022

SIMD-vectorized Implementation of High Order IRK Integrators | Mikel | JuliaCon 2022

We present a preliminary version of a SIMD-

Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization

Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Julia Basics 6A: Using Plots and Vectorized Dot Operators

Julia Basics 6A: Using Plots and Vectorized Dot Operators

julialang #tutorial #programming Today I get to Plotting! In science making a pretty and understandable plot is necessary to ...

Queryverse | David Anthoff | JuliaCon 2018

Queryverse | David Anthoff | JuliaCon 2018

This talk will introduce the Queryverse family of packages, a unified data science stack on

Julia Programming Tutorial: Inspecting Vectors and Arrays

Julia Programming Tutorial: Inspecting Vectors and Arrays

We look at some simple commands to inspect vectors in

C-sets for data analysis: relational data and conjunctive queries in Julia

C-sets for data analysis: relational data and conjunctive queries in Julia

1/20/21 meetup Evan Patterson describes his recent work pitching data scientists on the merits of CT + relational DBs, such as ...

Intro to the Queryverse, a Julia data science stack | David Anthoff

Intro to the Queryverse, a Julia data science stack | David Anthoff

In this tutorial, Professor David Anthoff from UC Berkeley introduces us to Queryverse.

How to READ in CSV files in Julia (And @Query them!)

How to READ in CSV files in Julia (And @Query them!)

I show you how to: - Open a CSV file, - Read that file into a DataFrame -

JuliaCon 2020 | SIMD in Julia - Automatic and explicit | Kristoffer Carlsson

JuliaCon 2020 | SIMD in Julia - Automatic and explicit | Kristoffer Carlsson

SIMD (Single Instruction, Multiple Data) is a term for when the processor executes the same operation (like addition) on multiple ...