Back to Basics: The Abstract Machine
Back to Basics: The Abstract Machine Bob Steagall CppCon 2020 K E W B C O M P U T I N GCopyright © 2020 Bob Steagall K E W B C O M P U T I N G Overview/Goals • Describe abstract machines in general general • Describe the C++ abstract machine specifically • Language goals that drive its design • Role in program development and execution • Important definitions and characteristics • Important components components of the abstract machine, and their relationships • Provide a useful overview of the C++ abstract machine CppCon 2020 - The Abstract Machine 2Copyright © 2020 Bob Steagall K E W B C O M P U T I0 码力 | 91 页 | 538.90 KB | 5 月前3Solving Nim by the Use of Machine Learning
Solving Nim by the Use of Machine Learning Exploring How Well Nim Can be Played by a Computer Mikael Nielsen Røykenes Thesis submitted for the degree of Master in Informatics: Programming and Networks Solving Nim by the Use of Machine Learning Exploring How Well Nim Can be Played by a Computer Mikael Nielsen Røykenes c⃝ 2019 Mikael Nielsen Røykenes Solving Nim by the Use of Machine Learning http://www . . . . . . . . . 5 3.4 The Sprague-Grundy Theorem . . . . . . . . . . . . . . . . . . . 6 4 Machine Learning 6 4.1 Reinforcement learning . . . . . . . . . . . . . . . . . . . . . . . . 7 4.1.1 The0 码力 | 109 页 | 6.58 MB | 1 年前3Leveraging the Power of C++ for Efficient Machine Learning on Embedded Devices
Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu adrian.stanciu.pub@gmail.com CppCon, 2023 1 / 50About me ◮ I am a software engineer from Romania ◮ I have Motivation ◮ Image classification ◮ Hand gesture recognition ◮ Summary ◮ Q&A 4 / 50Motivation 5 / 50Machine Learning (ML) ◮ Subfield of Artificial Inteligence (AI) ◮ Enables computers to learn from data and consumption ◮ May have real-time performance constraints 7 / 50Machine learning on embedded devices ◮ Alternative to cloud-based machine learning ◮ Advantages: ◮ Real-time processing ◮ Low latency ◮0 码力 | 51 页 | 1.78 MB | 5 月前3micrograd++: A 500 line C++ Machine Learning Library
micrograd++: A 500 line C++ Machine Learning Library Gautam Sharma Independent Researcher gautamsharma2813@gmail.com Abstract—micrograd++ is a pure C++ machine learning li- brary inspired by Andrej Karpathy’s framework for building and training machine learning models. By leveraging the performance efficiency of C++, micro- grad++ offers a robust solution for integrating machine learning capabilities directly into Traditionally, all machine learning libraries are extremely bulky and very hard to integrate as third party dependencies. This aspect scares practitioners to adopt a C++ based machine learning library for0 码力 | 3 页 | 1.73 MB | 5 月前3Just-in-Time Compilation - J F Bastien - CppCon 2020
In this talk I'll tell you about C++ AoT compiler, JiTs for dynamic language, JiTs for binary translation, and dive back 20, 30, 40, 50, 60 years, way back into compiler history and read wonderful academic compile code to a target machine, then run it. X mapping never changes.? Interpreter Is an interpreter a JiT, or AoT? What if it modifies its bytecode? A CPU executes machine code… an interpreter executes executes bytecode… That’s the same thing, a CPU is an interpreter for machine code. A compiler can perform partial evaluation of a program, thereby interpreting it… The compiler itself can be compiled0 码力 | 111 页 | 3.98 MB | 5 月前3Haskell 2010 Language Report
popular in functional pro- gramming. In this Report, the meaning of such syntactic sugar is given by translation into simpler constructs. If these translations are applied exhaustively, the result is a program slightly sugared variant of the lambda calculus with a straightforward denotational semantics. The translation of each syntactic structure into the kernel is given as the syntax is introduced. This modular translations always refer to entities defined by the Prelude. For example, “concatMap” used in the translation of list comprehensions (Section 3.11) means the concatMap defined by the Prelude, regardless of0 码力 | 329 页 | 1.43 MB | 1 年前3Hyperledger Fabric 2.2.1 Documentation
could reside in the cloud, or in a data centre owned by one of the organizations, or on a local machine — it’s the digital certificate associated with it that identifies it as being owned by a particular multiple clusters contributing to the system channel), or a subset of those nodes. Finite-State Machine (FSM). Every ordering node in Raft has an FSM and collectively they’re used to ensure that the sequence your local registry. After you have downloaded the Fabric Samples and Docker images to your local machine, you can get started working with Fabric with the Using the Fabric test network tutorial. Hyperledger0 码力 | 848 页 | 11.56 MB | 1 年前3Hyperledger Fabric 2.1 Documentation
could reside in the cloud, or in a data centre owned by one of the organizations, or on a local machine — it’s the digital certificate associated with it that identifies it as being owned by a particular multiple clusters contributing to the system channel), or a subset of those nodes. Finite-State Machine (FSM). Every ordering node in Raft has an FSM and collectively they’re used to ensure that the sequence your local registry. After you have downloaded the Fabric Samples and Docker images to your local machine, you can get started working with Fabric with the Using the Fabric test network tutorial. Hyperledger0 码力 | 904 页 | 10.95 MB | 1 年前3Hyperledger Fabric 2.2.1 Documentation
could reside in the cloud, or in a data centre owned by one of the organizations, or on a local machine — it’s the digital certificate associated with it that identifies it as being owned by a particular multiple clusters contributing to the system channel), or a subset of those nodes. Finite-State Machine (FSM). Every ordering node in Raft has an FSM and collectively they’re used to ensure that the sequence for shared drives and use a location under one of the shared drives. Determine a location on your machine where you want to place the fabric-samples repository and enter that directory in a terminal window0 码力 | 601 页 | 9.48 MB | 1 年前3Laravel 5.0 Documentation
and add this line to the 'providers' array: Global IoC Bindings Views Blade Tag Changes Translation Files Public Directory Tests Misc. Files Form & HTML Helpers 'Illuminate\Html\HtmlServiceProvider' attackers to modify the environment for a request. You should convert your environment detection to use machine host names ( hostname command on Mac, Linux, and Windows). Laravel now generates a single log file: dependencies. So, before using Laravel, you will need to make sure you have Composer installed on your machine. First, download the Laravel installer using Composer. composer global require "laravel/installer=~10 码力 | 242 页 | 1.44 MB | 1 年前3
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