Martin Maas

According to our database, Martin Maas authored at least 21 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual Abstract.

Christian Navasca, Martin Maas, Petros Maniatis, Hyeontaek Lim, Guoqing Harry Xu

Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management, 2023

TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators.

Martin Maas, Ulysse Beaugnon, Arun Chauhan, Berkin Ilbeyi

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Rethinking Storage Management for Data Processing Pipelines in Cloud Data Centers.

Ubaid Ullah Hafeez, Martin Maas, Mustafa Uysal, Richard McDougall

CoRR, 2022

Learning to Improve Code Efficiency.

Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan

CoRR, 2022

Distilling the Real Cost of Production Garbage Collectors.

Zixian Cai, Stephen M. Blackburn, Michael D. Bond, Martin Maas

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.

Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Analyzing a Caching Model.

Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas

CoRR, 2021

Learning on Distributed Traces for Data Center Storage Systems.

Giulio Zhou, Martin Maas

Proceedings of Machine Learning and Systems 2021, 2021

Adaptive huge-page subrelease for non-moving memory allocators in warehouse-scale computers.

Martin Maas, Chris Kennelly, Khanh Nguyen, Darryl Gove, Kathryn S. McKinley, Paul Turner

Proceedings of the ISMM '21: 2021 ACM SIGPLAN International Symposium on Memory Management, 2021

2020

A Taxonomy of ML for Systems Problems.

Martin Maas

IEEE Micro, 2020

Hardware support for managed languages: an old idea whose time has finally come? (keynote).

Martin Maas

Proceedings of the MPLR '20: 17th International Conference on Managed Programming Languages and Runtimes, 2020

Learning-based Memory Allocation for C++ Server Workloads.

Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

A Hardware Accelerator for Tracing Garbage Collection.

Martin Maas, Krste Asanovic, John Kubiatowicz

IEEE Micro, 2019

2017

Hardware and Software Support for Managed-Language Workloads in Data Centers.

Martin Maas

PhD thesis, 2017

Return of the Runtimes: Rethinking the Language Runtime System for the Cloud 3.0 Era.

Martin Maas, Krste Asanovic, John Kubiatowicz

Proceedings of the 16th Workshop on Hot Topics in Operating Systems, 2017

2016

Taurus: A Holistic Language Runtime System for Coordinating Distributed Managed-Language Applications.

Martin Maas, Krste Asanovic, Tim Harris, John Kubiatowicz

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

Trash Day: Coordinating Garbage Collection in Distributed Systems.

Martin Maas, Tim Harris, Krste Asanovic, John Kubiatowicz

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation.

Chang Liu, Austin Harris, Martin Maas, Michael W. Hicks, Mohit Tiwari, Elaine Shi

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2014

Callisto: co-scheduling parallel runtime systems.

Tim Harris, Martin Maas, Virendra J. Marathe

Proceedings of the Ninth Eurosys Conference 2014, 2014

2013

PHANTOM: practical oblivious computation in a secure processor.

Martin Maas, Eric Love, Emil Stefanov, Mohit Tiwari, Elaine Shi, Krste Asanovic, John Kubiatowicz, Dawn Song

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2012

GPUs as an opportunity for offloading garbage collection.

Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph, John Kubiatowicz

Proceedings of the International Symposium on Memory Management, 2012