Martin Maas
I am a Research Scientist in the Google Brain team. Before joining Google, I completed my PhD in the Electrical Engineering and Computer Sciences department at UC Berkeley, working with Krste Asanović and John Kubiatowicz. My primary research interests are in machine learning for systems, managed languages, operating systems and computer architecture. I am interested in the entire stack from the hardware to the programming systems layer.
Authored Publications
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Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples
Mangpo Phothilimthana
Soroush Ghodrati
Selene Moon
ASPLOS 2024, Association for Computing Machinery
Predicting Dynamic Properties of Heap Allocations Using Neural Networks Trained on Static Code
Christian Navasca
Guoqing Harry Xu
2023 ACM SIGPLAN International Symposium on Memory Management (ISMM 2023)
Adaptive Hugepage Subrelease for Non-moving Memory Allocators in Warehouse-Scale Computers
Khanh Nguyen
International Symposium on Memory Management (ISMM) 2021 (to appear)
Learning-based Memory Allocation for C++ Server Workloads
David G. Andersen
Mohammad Mahdi Javanmard
Colin Raffel
25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (2020) (to appear)
A Taxonomy of ML for Systems Problems
IEEE Micro (2020)
