Martin Maas
Martin Maas
Google DeepMind
Zweryfikowany adres z google.com - Strona główna
Cytowane przez
Cytowane przez
The rocket chip generator
K Asanovic, R Avizienis, J Bachrach, S Beamer, D Biancolin, C Celio, ...
EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS …, 2016
Phantom: Practical oblivious computation in a secure processor
M Maas, E Love, E Stefanov, M Tiwari, E Shi, K Asanovic, J Kubiatowicz, ...
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013
Ghostrider: A hardware-software system for memory trace oblivious computation
C Liu, A Harris, M Maas, M Hicks, M Tiwari, E Shi
ACM SIGPLAN Notices 50 (4), 87-101, 2015
The rocket chip generator. EECS Department
K Asanovic, R Avizienis, J Bachrach, S Beamer, D Biancolin, C Celio, ...
University of California, Berkeley, Tech. Rep. UCB/EECS-2016-17 4, 6-2, 2016
Trash day: Coordinating garbage collection in distributed systems
M Maas, T Harris, K Asanović, J Kubiatowicz
15th Workshop on Hot Topics in Operating Systems (HotOS XV), 2015
Callisto: Co-scheduling parallel runtime systems
T Harris, M Maas, VJ Marathe
Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014
Taurus: A holistic language runtime system for coordinating distributed managed-language applications
M Maas, K Asanović, T Harris, J Kubiatowicz
Acm SIGPLAN Notices 51 (4), 457-471, 2016
Learning-based memory allocation for C++ server workloads
M Maas, DG Andersen, M Isard, MM Javanmard, KS McKinley, C Raffel
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
A hardware accelerator for tracing garbage collection
M Maas, K Asanović, J Kubiatowicz
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
Dynamic co-scheduling of hardware contexts for parallel runtime systems on shared machines
TL Harris, VJ Marathe, MC Maas
US Patent 9,542,221, 2017
Coordinated garbage collection in distributed systems
TL Harris, MC Maas
US Patent 10,642,663, 2020
GPUs as an opportunity for offloading garbage collection
M Maas, P Reames, J Morlan, K Asanović, AD Joseph, J Kubiatowicz
ACM SIGPLAN Notices 47 (11), 25-36, 2012
Learning on distributed traces for data center storage systems
G Zhou, M Maas
Proceedings of Machine Learning and Systems 3, 350-364, 2021
A taxonomy of ML for systems problems
M Maas
IEEE Micro 40 (5), 8-16, 2020
Return of the runtimes: Rethinking the language runtime system for the cloud 3.0 era
M Maas, K Asanović, J Kubiatowicz
Proceedings of the 16th Workshop on Hot Topics in Operating Systems, 138-143, 2017
Distilling the real cost of production garbage collectors
Z Cai, SM Blackburn, MD Bond, M Maas
2022 IEEE International Symposium on Performance Analysis of Systems and …, 2022
Adaptive huge-page subrelease for non-moving memory allocators in warehouse-scale computers
M Maas, C Kennelly, K Nguyen, D Gove, KS McKinley, P Turner
Proceedings of the 2021 ACM SIGPLAN International Symposium on Memory …, 2021
The Case for the Holistic Language Runtime System
M Maas, K Asanovic, T Harris, J Kubiatowicz
First International Workshop on Rack-scale Computing (WRSC), 2014
TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators
M Maas, U Beaugnon, A Chauhan, B Ilbeyi
Proceedings of the 28th ACM International Conference on Architectural …, 2022
Grail quest: A new proposal for hardware-assisted garbage collection
M Maas, K Asanovic, J Kubiatowicz
Workshop on Architectures and Systems for Big Data, 2016
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