default search action
Martin Maas 0001
Person information
- affiliation: Google Brain, Mountain View, CA, USA
- affiliation (Ph.D.): University of California, Berkeley, CA, USA
Other persons with the same name
- Martin D. Maas
(aka: Martin Maas 0002) — Instituto de Astronomía y Física del Espacio (IAFE), CONICET-UBA, Buenos Aires, Argentina
- Martin Maas 0003 — CAP debis Division Industrie, Fellbach, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2017
- [b1]Martin Maas:
Hardware and Software Support for Managed-Language Workloads in Data Centers. University of California, Berkeley, USA, 2017
Journal Articles
- 2024
- [j3]Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel:
Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond. Commun. ACM 67(4): 87-96 (2024) - 2020
- [j2]Martin Maas
A Taxonomy of ML for Systems Problems. IEEE Micro 40(5): 8-16 (2020) - 2019
- [j1]Martin Maas
A Hardware Accelerator for Tracing Garbage Collection. IEEE Micro 39(3): 38-46 (2019)
Conference and Workshop Papers
- 2024
- [c17]Phitchaya Mangpo Phothilimthana
Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples. ASPLOS (3) 2024: 1016-1032 - 2023
- [c16]Martin Maas, Ulysse Beaugnon, Arun Chauhan, Berkin Ilbeyi:
TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators. ASPLOS (1) 2023: 123-137 - [c15]Christian Navasca, Martin Maas, Petros Maniatis, Hyeontaek Lim, Guoqing Harry Xu:
Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual Abstract. ISMM 2023: 43-57 - 2022
- [c14]Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE 2022: 184-189 - [c13]Zixian Cai
Distilling the Real Cost of Production Garbage Collectors. ISPASS 2022: 46-57 - 2021
- [c12]Martin Maas
Adaptive huge-page subrelease for non-moving memory allocators in warehouse-scale computers. ISMM 2021: 28-38 - [c11]Giulio Zhou, Martin Maas:
Learning on Distributed Traces for Data Center Storage Systems. MLSys 2021 - 2020
- [c10]Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel:
Learning-based Memory Allocation for C++ Server Workloads. ASPLOS 2020: 541-556 - [c9]Martin Maas:
Hardware support for managed languages: an old idea whose time has finally come? (keynote). MPLR 2020: 2 - 2018
- [c8]Martin Maas, Krste Asanovic, John Kubiatowicz:
A Hardware Accelerator for Tracing Garbage Collection. ISCA 2018: 138-151 - 2017
- [c7]Martin Maas, Krste Asanovic, John Kubiatowicz:
Return of the Runtimes: Rethinking the Language Runtime System for the Cloud 3.0 Era. HotOS 2017: 138-143 - 2016
- [c6]Martin Maas, Krste Asanovic, Tim Harris, John Kubiatowicz:
Taurus: A Holistic Language Runtime System for Coordinating Distributed Managed-Language Applications. ASPLOS 2016: 457-471 - 2015
- [c5]Chang Liu, Austin Harris
GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation. ASPLOS 2015: 87-101 - [c4]Martin Maas, Tim Harris, Krste Asanovic, John Kubiatowicz:
Trash Day: Coordinating Garbage Collection in Distributed Systems. HotOS 2015 - 2014
- [c3]Tim Harris, Martin Maas, Virendra J. Marathe:
Callisto: co-scheduling parallel runtime systems. EuroSys 2014: 24:1-24:14 - 2013
- [c2]Martin Maas, Eric Love, Emil Stefanov, Mohit Tiwari
PHANTOM: practical oblivious computation in a secure processor. CCS 2013: 311-324 - 2012
- [c1]Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph
GPUs as an opportunity for offloading garbage collection. ISMM 2012: 25-36
Editorship
- 2020
- [e1]Chen Ding, Martin Maas:
ISMM '20: 2020 ACM SIGPLAN International Symposium on Memory Management, ISMM 2020, virtual [London, UK], June 16, 2020. ACM 2020, ISBN 978-1-4503-7566-5 [contents]
Informal and Other Publications
- 2022
- [i4]Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan:
Learning to Improve Code Efficiency. CoRR abs/2208.05297 (2022) - [i3]Ubaid Ullah Hafeez, Martin Maas, Mustafa Uysal, Richard McDougall:
Rethinking Storage Management for Data Processing Pipelines in Cloud Data Centers. CoRR abs/2211.02286 (2022) - 2021
- [i2]Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi, Been Kim, Martin Maas:
Analyzing a Caching Model. CoRR abs/2112.06989 (2021) - [i1]Zixian Cai, Stephen M. Blackburn, Michael D. Bond, Martin Maas:
Distilling the Real Cost of Production Garbage Collectors. CoRR abs/2112.07880 (2021)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-14 20:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: