. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1057 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . :compact property set. In par�cular, this is the case when prin�ng arrays with mul�ple columns (where horizontal space is limited): julia> show(IOContext(stdout, :compact=>true), Polar(3, 4.0)) 3.04.0im julia> Reducing the number of messages and the amount of data sent is cri�cal to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1027 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . :compact property set. In par�cular, this is the case when prin�ng arrays with mul�ple columns (where horizontal space is limited): julia> show(IOContext(stdout, :compact=>true), Polar(3, 4.0)) 3.04.0im julia> Reducing the number of messages and the amount of data sent is cri�cal to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1025 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . :compact property set. In par�cular, this is the case when prin�ng arrays with mul�ple columns (where horizontal space is limited): julia> show(IOContext(stdout, :compact=>true), Polar(3, 4.0)) 3.04.0im julia> Reducing the number of messages and the amount of data sent is cri�cal to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1059 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . :compact property set. In par�cular, this is the case when prin�ng arrays with mul�ple columns (where horizontal space is limited): julia> show(IOContext(stdout, :compact=>true), Polar(3, 4.0)) 3.04.0im julia> Reducing the number of messages and the amount of data sent is cri�cal to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1111 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1112 B C ...] hcat shorthand for ‘cat(A...; dims=2) [A B; C D; ...] hvcat simultaneous vertical and horizontal concatenation Typed array literals An array with a specific element type can be constructed using Reducing the number of messages and the amount of data sent is critical to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1077 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . :compact property set. In par�cular, this is the case when prin�ng arrays with mul�ple columns (where horizontal space is limited): julia> show(IOContext(stdout, :compact=>true), Polar(3, 4.0)) 3.04.0im julia> Reducing the number of messages and the amount of data sent is cri�cal to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1111 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1112 B C ...] hcat shorthand for ‘cat(A...; dims=2) [A B; C D; ...] hvcat simultaneous vertical and horizontal concatenation 19.4. COMPREHENSIONS 225 Typed array literals An array with a specific element Reducing the number of messages and the amount of data sent is critical to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1109 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1110 B C ...] hcat shorthand for ‘cat(A...; dims=2) [A B; C D; ...] hvcat simultaneous vertical and horizontal concatenation 19.4. COMPREHENSIONS 225 Typed array literals An array with a specific element Reducing the number of messages and the amount of data sent is critical to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1109 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1110 B C ...] hcat shorthand for ‘cat(A...; dims=2) [A B; C D; ...] hvcat simultaneous vertical and horizontal concatenation Typed array literals An array with a specific element type can be constructed using Reducing the number of messages and the amount of data sent is critical to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1133 Horizontal rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1134 B C ...] hcat shorthand for ‘cat(A...; dims=2) [A B; C D; ...] hvcat simultaneous vertical and horizontal concatenation Typed array literals An array with a specific element type can be constructed using Reducing the number of messages and the amount of data sent is critical to achieving performance and scalability. To this end, it is important to understand the data movement performed by Julia's various distributed