marcelino – Marcelino’s Web Site

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VU – Big Data Class 2018

VU Big Data Spring 2018 Conference Papers There is no textbook, instead, we have a series of papers that you can find in this link. You should select and present one paper at the lecture. Send me an email to pick one. Here are the schedule and the selection so far. Your …

My Ph.D. thesis

Approximate Computing is based on the idea that significant improvements in performance, energy and memory consumptions can be achieved when small levels of approximation can be tolerated. Indeed, domains such as Machine Learning, Search Engines, Computer Vision and Digital Signal Processing are approximate in nature and has been shown to …

Rant: How to work in collective in order to keep things NOT working

These are a few of rants I have written over time when someone goes like ‘it works on my machine’. This helps me not going berserker and start flipping tables So here you have it, a few guidelines and bits of advice if you want to slow down your team, stress the …

Tackling hard problems. A case study

Resulting from a preparation for an interview, I realized that I had never thought about the way I solve problems. I just did it. It’s like if someone ask you `describe how you breath’. This blog post results from my efforts to describe a methodology that paradoxically enough, I never had to …

Approximated Loop Unrolling

Approximate Loop Unrolling (A-Roll) is an approximate loop optimization that transforms loops in a similar way Loop Unrolling does. However, unlike its exact counterpart, A-Roll unrolls by adding interpolations of the loop’s body, rather than exact copies. The objective of the optimization is to increase the loop’s speed while reducing …

Managing dependencies with CMake

After struggling all day yesterday with dependencies in CMake, this is what I got so far: When looking to manage dependencies using CMake abandon any hope for quick tricks and rapid fixes. You must understand the system deeply or be prepared to suffer several headaches. That’s why I advise you …

More on phase order: Loop Optimizations of the C2 compiler

In the C2 compiler, loops are optimized during the Machine Independent Optimizations super-phase . Loops is where most of the execution time is spent, so the compiler gives great deal of attention to them. As mentioned elsewhere, Machine Independent Optimizations are performed modifying the Ideal Graph. Loop optimizations are implemented …

Notes on some interesting (for me) types of nodes of the Ideal Graph.

In this post I will write down my notes on the behavior, inputs and outputs of some nodes of the Ideal Graph (IG). This is not an introduction to the IG. I’m assuming you have already some knowledge on the subject and have read some of the related documentation. If …

Phase Ordering of the Java Hostpot C2’s compiler

The Java C2 compiler turns Java bytecode into highly optimized native instructions. The process is decomposed in several phases. Knowing the order in which these phases are applied is important for developers interested in modifying Hostpot. In this post I will talk about the phase ordering of the C2 compiler, …

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