The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi seeks to recruit a research assistant to work on the intersection of compilers and deep learning.
Many companies such as Google Facebook and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple high-level code and run it efficiently on different hardware architectures. For example Google has built TensorFlow a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code.
Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu 1. Unlike existing frameworks Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore GPUs FPGAs and distributed machines).
In order to have the best performance (fastest execution) for a given Tiramisu program many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions) parallelization (running loop iterations in parallel) enhancing data locality by fusion and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for some situations some optimizations are harmful to performance while they are beneficial in other situations. Currently there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations.
The goal of this project is to add support for automatic code optimization in particular we want to use machine learning/deep learning to achieve this. Currently a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs.
Candidates must hold a bachelors degree or equivalent in Computer Science though a masters degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence.
For consideration applicants need to submit a cover letter curriculum vitae transcript statement of research interests and two letters of reference all in PDF format. If you have any questions please email Prof. Riyadh Baghdadi at or .
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
About NYU Abu Dhabi
Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences engineering social sciences humanities and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanitys shared challenges. NYU Abu Dhabis high-achieving students have come from over 120 countries and speak over 100 languages. Together NYUs campuses in New York Abu Dhabi and Shanghai form the backbone of a unique global university giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
NYUAD is committed to upholding a culture of non-discrimination anti-harassment dignity and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning research and teaching.
UAE Nationals are encouraged to apply.
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