| Approximate storage in solid-state memories A Sampson, J Nelson, K Strauss, L Ceze ACM Transactions on Computer Systems (TOCS) 32 (3), 1-23, 2014 | 364 | 2014 |
| Latency-tolerant software distributed shared memory J Nelson, B Holt, B Myers, P Briggs, L Ceze, S Kahan, M Oskin 2015 {USENIX} Annual Technical Conference ({USENIX}{ATC} 15), 291-305, 2015 | 229 | 2015 |
| Scaling distributed machine learning with in-network aggregation A Sapio, M Canini, CY Ho, J Nelson, P Kalnis, C Kim, A Krishnamurthy, ... arXiv preprint arXiv:1903.06701, 2019 | 177 | 2019 |
| SNNAP: Approximate computing on programmable socs via neural acceleration T Moreau, M Wyse, J Nelson, A Sampson, H Esmaeilzadeh, L Ceze, ... 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 164 | 2015 |
| Evaluating the power of flexible packet processing for network resource allocation NK Sharma, A Kaufmann, T Anderson, A Krishnamurthy, J Nelson, ... 14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017 | 121 | 2017 |
| RCDC: a relaxed consistency deterministic computer J Devietti, J Nelson, T Bergan, L Ceze, D Grossman ACM SIGPLAN Notices 46 (3), 67-78, 2011 | 121 | 2011 |
| IncBricks: Toward In-Network Computation with an In-Network Cache M Liu, L Luo, J Nelson, L Ceze, A Krishnamurthy, K Atreya Proceedings of the Twenty-Second International Conference on Architectural …, 2017 | 117 | 2017 |
| Parameter hub: a rack-scale parameter server for distributed deep neural network training L Luo, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy Proceedings of the ACM Symposium on Cloud Computing, 41-54, 2018 | 88 | 2018 |
| When should the network be the computer? DRK Ports, J Nelson Proceedings of the Workshop on Hot Topics in Operating Systems, 209-215, 2019 | 63 | 2019 |
| Grappa: A latency-tolerant runtime for large-scale irregular applications J Nelson, B Holt, B Myers, P Briggs, L Ceze, S Kahan, M Oskin International Workshop on Rack-Scale Computing (WRSC w/EuroSys), 2014 | 51 | 2014 |
| Crunching Large Graphs with Commodity Processors. J Nelson, B Myers, AH Hunter, P Briggs, L Ceze, C Ebeling, D Grossman, ... HotPar 11, 10-10, 2011 | 51 | 2011 |
| Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories J Li, J Nelson, E Michael, X Jin, DRK Ports 14th {USENIX} Symposium on Operating Systems Design and Implementation …, 2020 | 25 | 2020 |
| Flat combining synchronized global data structures B Holt, J Nelson, B Myers, P Briggs, L Ceze, S Kahan, M Oskin 7th International Conference on PGAS Programming Models 76, 2013 | 24 | 2013 |
| Comparing runtime systems with exascale ambitions using the parallel research kernels RF Van der Wijngaart, A Kayi, JR Hammond, G Jost, TS John, ... International Conference on High Performance Computing, 321-339, 2016 | 21 | 2016 |
| Dense approximate storage in phase-change memory J Nelson, A Sampson, L Ceze ASPLOS Ideas & Perspectives, 2011 | 18 | 2011 |
| Plink: Discovering and exploiting locality for accelerated distributed training on the public cloud L Luo, P West, J Nelson, A Krishnamurthy, L Ceze Proceedings of Machine Learning and Systems 2, 82-97, 2020 | 17 | 2020 |
| Using the Parallel Research Kernels to study PGAS models RF Van der Wijngaart, S Sridharan, A Kayi, G Jost, JR Hammond, ... 2015 9th International Conference on Partitioned Global Address Space …, 2015 | 14 | 2015 |
| The Demikernel Datapath OS Architecture for Microsecond-scale Datacenter Systems I Zhang, A Raybuck, P Patel, K Olynyk, J Nelson, OSN Leija, A Martinez, ... Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles …, 2021 | 13 | 2021 |
| Motivating in-network aggregation for distributed deep neural network training L Luo, M Liu, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy Workshop on Approximate Computing Across the Stack, 2017 | 13 | 2017 |
| PLink: Discovering and Exploiting Datacenter Network Locality for Efficient Cloud-based Distributed Training L Luo, P West, A Krishnamurthy, L Ceze, J Nelson Proc. of MLSys, 2020 | 10 | 2020 |
Luis CezeProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
