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Today I'm excited to share the project a small team of amazing people and I have been working on for the past two years; HipHop for PHP. With HipHop we've reduced the CPU usage on our Web servers on average by about fifty percent, depending on the page. Less CPU means fewer servers, which means less overhead. This project has had a tremendous impact on Facebook. We feel the Web at large can benefit from HipHop, so we are releasing it as open source this evening in hope that it brings a new focus toward scaling large complex websites with PHP. While HipHop has shown us incredible results, it's certainly not complete and you should be comfortable with beta software before trying it out. HipHop for PHP isn't technically a compiler itself. Rather it is a source code transformer. HipHop programmatically transforms your PHP source code into highly optimized C++ and then uses g++ to compile it. HipHop executes the source code in a semantically equivalent manner and sacrifices some rarely used features — such as eval() — in exchange for improved performance. HipHop includes a code transformer, a reimplementation of PHP's runtime system, and a rewrite of many common PHP Extensions to take advantage of these performance optimizations.

One challenge designers face is the need to translate their algorithms into code for use in embedded targets. The task has proven to be long and prone to error. This article examines how the use of high-level design tools and C code generation capabilities improves the design flow by exploring different use cases and how to reduce the amount of embedded technology expertise required to program embedded targets.

In ASP.NET development, F# also offers productivity advantages over VB and C#.  F# is different because it is statically checked and type-safe.  It addresses weaknesses in ASP.NET development like untyped values, complex form construction, and using strings for IDs and method names that connect markup with code-behind (class-files).  Writing a web application in F# on the WebSharper platform can be less-time consuming if a developer is not great at writing web apps in JavaScript.  Through WebSharper, developers can write a web app using a large subset of F# and .NET core libraries and then just let WebSharper map the code to JavaScript.  WebSharper can integrate with ASP.NET applications, but it is different from the standard approach because it builds applications from miniature web pages called "pagelets".  The pagelets correspond to functions on the client-side and they are automatically translated into JavaScript.   WebSharper supports a wide range of JavaScript libraries, making it easy for developers to optimize their code in whatever way they choose.  jQuery, qooxdoo, Flapjax, and Yahoo UI are all supported by WebSharper.  The leap from F# to JavaScript is manageable because both are functional languages that support lambda expressions and closures.  Another unique part of WebSharper is a "formlet".  A formlet is a special pagelet that provides form functionality.  Formlets in Web Sharper run and validate on the client, submitting their result to a either a client- or a server-side callback.

Andrew Phillips holds the title of Scientist with Microsoft Research Cambridge, and he's working on a method of programming that compiles into DNA. Part of this involves a visual programming language called Stochastic Pi Machine, or SPiM. This system models biological processes to help give researchers feedback on how organisms will react to modifications. The hope is that this can be used to help scientists program for large biological systems using modular components compiled to DNA. Yes, I’m in way over my head here, but I do my best to ask Andrew about the role this will play in medical treatment going forward, what it means to DNA computing, and the ability of back-engineering the genetic code we don’t use now.

We consider the problem of specifying combinations of data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are specified using relational algebra and functional dependencies. We describe a language of decompositions that permit the user to specify different concrete representations for relations, and show that operations on concrete representations soundly implement their relational specification. It is easy to incorporate data representations synthesized by our compiler into existing systems, leading to code that is simpler, correct by construction, and comparable in performance to the code it replaces.

As PHP is not a strictly OOP language, it is very easy to slip into sloppier and more procedural code as well as program in PHP one's entire career and not deal with OOP at all. In this tutorial, I will cover the following: Why use OOP over procedural programming, as I have been doing?Encapsulation and modularityBasic class design

In Stack Machines, Expression Evaluation, and the Magic of Reverse Polish, I showed how expressions can be evaluated by rewriting them in reverse Polish and translating this into machine-code instructions for a stack machine. I demonstrated with a stack-machine interpreter that I'd written as part of a working model of a Pascal compiler. But as well as expressions, the compiler needs to compile assignments and jumps, so — in my progress towards explaining the compiler — I'm going to extend the machine code so it can handle these. I'll demonstrate by interpreting a program that calculates five factorial.

I happened to write this code sometime back that took Excel data and converted it to specific xml format. It was a simple Linq statement and here is the code

Running languages on .NET is ultra-powerful. Using managed COBOL (from Micro Focus), it is possible to use F# code to work with COBOL code. Imagine a Cloud based F# map reduce system consuming legacy COBOL - yes, that really is on the horizon.

Andrew Phillips holds the title of Scientist with Microsoft Research Cambridge, and he's working on a method of programming that compiles into DNA. Part of this involves a visual programming language called Stochastic Pi Machine, or SPiM. This system models biological processes to help give researchers feedback on how organisms will react to modifications. The hope is that this can be used to help scientists program for large biological systems using modular components compiled to DNA. Yes, I’m in way over my head here, but I do my best to ask Andrew about the role this will play in medical treatment going forward, what it means to DNA computing, and the ability of back-engineering the genetic code we don’t use now

Recently I was working on a project and the UI required minor tweaks depending on whether or not Aero was enabled. Fortunately, I came across an MSDN forum topic with the solution, so I thought I'd share.