EnjoyTech

I am very passionate about the idea of giving developers the control over parallelism without them having to deal with the underlying execution semantics of their code. The programming languages and the constructs, today, are designed to provide abstraction, but they are not designed to estimate the computational complexity and dependencies. The frameworks such as MapReduce is designed not to have any dependencies between the computing units, but that's not true for the majority of the code. It is also not trivial to rewrite existing code to leverage parallelism. As, with the cloud, when the parallel computing continues to be a norm rather than an exception, the current programs are not going to run any faster. In fact, they will be relatively slower compared to other programs that would leverage parallel computation. Robert Harper, a Professor of Computer Science at Carnegie Mellon University recently wrote an excellent blog post - parallelism is not concurrency . I would encourag...

Many of you would have read the Google Chrome comic-strip and also would have test driven the browser. I have been following few blog posts that have been discussing the technical and business impact but let's take a moment and look at some of the fundamental architectural design principles behind this browser and its impact on the ecosystem of web developers. Embrace uncertainty and chaos: Google does not expect people to play nice. There are billions of pages with unique code and rendering all of them perfectly is not what Google is after. Instead Chrome puts people in charge of shutting down pages (applications) that do not behave. Empowering people to pick what they want and allow them to filter out the bad experience is a great design approach. Support the journey from pages to applications to the cloud: Google embraced the fact that the web is transitioning from pages to applications. Google took an application-centric approach to design the core architecture of Chrome an...