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karammi

Free crypto signals - 14 views

In blockchain technology, a node graph represents a blockchain network and helps validate transactions and maintain the integrity of the network. A node graph can be used to visualize the structure...

Mandeep Bajar

Synchronizing Game Physics in Multiplayer Games | AppWarp - 0 views

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    "In the previous blog post, we learned how one should plan and build the game architecture to reduce the network load and to use network resource in a more optimized way. It particularly talked about the game physics involved in multiplayer games. "
block_chain_

Comparison on Smart Contract Platforms- Lightning Network, Raiden, Plasma and RIF Lumin... - 0 views

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    If you are interested in learning about smart contract platforms and want to become a smart contract developer, you have landed on the right page. The article below explains the decentralized scalability of smart contracts platforms in detail.
Internsbaba

How to Identify Your Target Company before applying internship? - 1 views

Identifying your target company before applying for an internship is a crucial step in ensuring a good fit for your skills and career goals. So before targeting any company you should follow the st...

@internship

started by Internsbaba on 22 Nov 23 no follow-up yet
Fabien Cadet

2015-05: The Unreasonable Effectiveness of Recurrent Neural Networks - 0 views

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    Also provides code for text generation.
Matteo Spreafico

Joe Duffy's Weblog - OnBeingStateful - 0 views

  • The biggest question left unanswered in my mind is the role state will play in software of the future.
  • The biggest question left unanswered in my mind is the role state will play in software of the future. That seems like an absurd statement, or a naïve one at the very least.  State is everywhere: The values held in memory. Data locally on disk. Data in-flight that is being sent over a network. Data stored in the cloud, including on a database, remote filesystem, etc. Certainly all of these kinds of state will continue to exist far into the future.  Data is king, and is one major factor that will drive the shift to parallel computing.  The question then is how will concurrent programs interact with this state, read and mutate it, and what isolation and synchronization mechanisms are necessary to do so?
  • Many programs have ample gratuitous dependencies, simply because of the habits we’ve grown accustomed to over 30 odd years of imperative programming.  Our education, mental models, books, best-of-breed algorithms, libraries, and languages all push us in this direction.  We like to scribble intermediary state into shared variables because it’s simple to do so and because it maps to our von Neumann model of how the computer works.
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  • We need to get rid of these gratuitous dependencies.  Merely papering over them with a transaction—making them “safe”—doesn’t do anything to improve the natural parallelism that a program contains.  It just ensures it doesn’t crash.  Sure, that’s plenty important, but providing programming models and patterns to eliminate the gratuitous dependencies also achieves the goal of not crashing but with the added benefit of actually improving scalability too.  Transactions have worked so well in enabling automatic parallelism in databases because the basic model itself (without transactions) already implies natural isolation among queries.  Transactions break down and scalability suffers for programs that aren’t architected in this way.  We should learn from the experience of the database community in this regard
  • There will always be hidden mutation of shared state inside lower level system components.  These are often called “benevolent side-effects,” thanks to Hoare, and apply to things like lazy initialization and memorization caches.  These will be done by concurrency ninjas who understand locks.  And their effects will be isolated by convention.
  • Even with all of this support, we’d be left with an ecosystem of libraries like the .NET Framework itself which have been built atop a fundamentally mutable and imperative system.  The path forward here is less clear to me, although having the ability to retain a mutable model within pockets of guaranteed isolation certainly makes me think the libraries are salvageable.  Thankfully, the shift will likely be very gradual, and the pieces that pose substantial problems can be rewritten in place incrementally over time.  But we need the fundamental language and type system support first.
Joel Bennett

Microsoft Axum - Download Details - 0 views

  • Installer: Axum is an incubation project from Microsoft’s Parallel Computing Platform that aims to validate a safe and productive parallel programming model for the .NET framework. It’s a language that builds upon the architecture of the web and the principles of isolation, actors, and message-passing to increase application safety, responsiveness, scalability and developer productivity. Other advanced concepts we are exploring are data flow networks, asynchronous methods, and type annotations for taming side-effects. Programmer's Guide: Use this simple and easy to follow programmer's guide to learn how to create safe, scalable, and responsive applications with the Axum language. Language Specification: A detailed specification of the Axum language.
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    A .NET language for safe, scalable and productive parallel programming through isolation, actors and message-passing ...
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