Copying data is not always bad ∗ Multithreading and linear algebra ∗ Alternative linear algebra backends – Execution latency, package loading and package precompiling time ∗ Reducing time to first plot experiment on your specific application. Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . 475 35.30 Alternative linear algebra backends . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading on your specific application. 35.30 Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . 475 35.30 Alternative linear algebra backends . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading on your specific application. 35.30 Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . 475 35.30 Alternative linear algebra backends . . . . . . . . . . . . . . . . . . . . . . . . . . 476 35.31 Execution latency, package loading on your specific application. 35.30 Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

Copying data is not always bad ∗ Multithreading and linear algebra ∗ Alternative linear algebra backends – Execution latency, package loading and package precompiling time ∗ Reducing time to first plot experiment on your specific application. Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

Copying data is not always bad ∗ Multithreading and linear algebra ∗ Alternative linear algebra backends – Execution latency, package loading and package precompiling time ∗ Reducing time to first plot experiment on your specific application. Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

Copying data is not always bad ∗ Multithreading and linear algebra ∗ Alternative linear algebra backends – Execution latency, package loading and package precompiling time ∗ Reducing time to first plot experiment on your specific application. Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

Copying data is not always bad ∗ Multithreading and linear algebra ∗ Alternative linear algebra backends – Execution latency, package loading and package precompiling time ∗ Reducing time to first plot experiment on your specific application. Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay. The base Julia runtime

Rust 不同。 19.5 Clone 有時候，您可能會「想要」複製一個值。Clone 特徵可完成這項作業。 struct Backends { hostnames: Vec, weights: Vec, } impl Backends { fn set_hostnames(&mut self, hostnames: &Vec) { self

algebra . . . . . . . . . . . . . . . . . . . . . . . . . . . 445 34.28 Alternative linear algebra backends . . . . . . . . . . . . . . . . . . . . . . . . . . 445 35 Workflow Tips 446 35.1 REPL-based workflow on your specific application. 34.28 Alternative linear algebra backends As an alternative to OpenBLAS, there exist several other backends that can help with linear algebra per- formance. Prominent examples user-defined types. • Multimedia-capable display backends may be registered by subclassing a generic AbstractDisplay type and pushing them onto a stack of display backends via pushdisplay.CHAPTER 51. I/O AND NETWORK