| Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds K Hsieh, A Harlap, N Vijaykumar, D Konomis, GR Ganger, PB Gibbons, ... 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 0 | 400* | |
| The non-iid data quagmire of decentralized machine learning K Hsieh, A Phanishayee, O Mutlu, P Gibbons International Conference on Machine Learning, 4387-4398, 2020 | 331 | 2020 |
| Transparent offloading and mapping (TOM): Enabling programmer-transparent near-data processing in GPU systems K Hsieh, E Ebrahimi, G Kim, N Chatterjee, M O'Connor, N Vijaykumar, ... Proceedings of the 43rd International Symposium on Computer Architecture …, 2016 | 272 | 2016 |
| Focus: Querying large video datasets with low latency and low cost K Hsieh, G Ananthanarayanan, P Bodik, S Venkataraman, P Bahl, ... 13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018 | 253 | 2018 |
| Fast bulk bitwise AND and OR in DRAM V Seshadri, K Hsieh, A Boroum, D Lee, MA Kozuch, O Mutlu, PB Gibbons, ... IEEE Computer Architecture Letters 14 (2), 127-131, 2015 | 205 | 2015 |
| Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation K Hsieh, S Khan, N Vijaykumar, KK Chang, A Boroumand, S Ghose, ... 2016 IEEE 34th International Conference on Computer Design (ICCD), 25-32, 2016 | 204* | 2016 |
| Understanding latency variation in modern DRAM chips: Experimental characterization, analysis, and optimization KK Chang, A Kashyap, H Hassan, S Ghose, K Hsieh, D Lee, T Li, ... Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016 | 203 | 2016 |
| LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory A Boroumand, S Ghose, B Lucia, K Hsieh, K Malladi, H Zheng, O Mutlu IEEE Computer Architecture Letters, 2016 | 185 | 2016 |
| CoNDA: efficient cache coherence support for near-data accelerators A Boroumand, S Ghose, M Patel, H Hassan, B Lucia, R Ausavarungnirun, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 88 | 2019 |
| Zorua: A holistic approach to resource virtualization in gpus N Vijaykumar, K Hsieh, G Pekhimenko, S Khan, A Shrestha, S Ghose, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 74 | 2016 |
| Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions S Ghose, K Hsieh, A Boroumand, R Ausavarungnirun, O Mutlu arXiv preprint arXiv:1802.00320, 2018 | 72 | 2018 |
| The locality descriptor: A holistic cross-layer abstraction to express data locality in GPUs N Vijaykumar, E Ebrahimi, K Hsieh, PB Gibbons, O Mutlu 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 64 | 2018 |
| Toward standardized near-data processing with unrestricted data placement for GPUs G Kim, N Chatterjee, M O'Connor, K Hsieh Proceedings of the International Conference for High Performance Computing …, 2017 | 51 | 2017 |
| A case for richer cross-layer abstractions: Bridging the semantic gap with expressive memory N Vijaykumar, A Jain, D Majumdar, K Hsieh, G Pekhimenko, E Ebrahimi, ... 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 45 | 2018 |
| The Processing-in-Memory Paradigm: Mechanisms to Enable Adoption S Ghose, K Hsieh, A Boroumand, R Ausavarungnirun, O Mutlu Beyond-CMOS Technologies for Next Generation Computer Design, 133-194, 2019 | 29 | 2019 |
| Ekya: Continuous learning of video analytics models on edge compute servers R Bhardwaj, Z Xia, G Ananthanarayanan, J Jiang, Y Shu, N Karianakis, ... 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022 | 22 | 2022 |
| LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures A Boroumand, S Ghose, M Patel, H Hassan, B Lucia, N Hajinazar, ... arXiv preprint arXiv:1706.03162, 2017 | 19 | 2017 |
| FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations J So, K Hsieh, B Arzani, S Noghabi, S Avestimehr, R Chandra arXiv preprint arXiv:2202.01267, 2022 | 14 | 2022 |
| Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems A Mallick, K Hsieh, B Arzani, G Joshi Proceedings of Machine Learning and Systems 4, 77-94, 2022 | 7 | 2022 |
| Federated Learning under Distributed Concept Drift E Jothimurugesan, K Hsieh, J Wang, G Joshi, PB Gibbons arXiv preprint arXiv:2206.00799, 2022 | 4 | 2022 |
Onur MutluETH Zürich and Carnegie Mellon UniversityVerified email at inf.ethz.ch
