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Jacob Nelson
Jacob Nelson
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
3642014
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
2292015
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
1772019
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
1642015
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
1212017
RCDC: a relaxed consistency deterministic computer
J Devietti, J Nelson, T Bergan, L Ceze, D Grossman
ACM SIGPLAN Notices 46 (3), 67-78, 2011
1212011
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
1172017
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
882018
When should the network be the computer?
DRK Ports, J Nelson
Proceedings of the Workshop on Hot Topics in Operating Systems, 209-215, 2019
632019
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
512014
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
512011
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
252020
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
242013
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
212016
Dense approximate storage in phase-change memory
J Nelson, A Sampson, L Ceze
ASPLOS Ideas & Perspectives, 2011
182011
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
172020
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
142015
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
132021
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
132017
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
102020
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Articles 1–20