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), 9, 2014
2962014
Latency-Tolerant Software Distributed Shared Memory.
J Nelson, B Holt, B Myers, P Briggs, L Ceze, S Kahan, M Oskin
USENIX Annual Technical Conference, 291-305, 2015
1632015
SNNAP: Approximate computing on programmable socs via neural acceleration
T Moreau, M Wyse, J Nelson, A Sampson, H Esmaeilzadeh, L Ceze, ...
High Performance Computer Architecture (HPCA), 2015 IEEE 21st International …, 2015
1272015
RCDC: a relaxed consistency deterministic computer
J Devietti, J Nelson, T Bergan, L Ceze, D Grossman
ACM SIGPLAN Notices 46 (3), 67-78, 2011
1072011
Evaluating the Power of Flexible Packet Processing for Network Resource Allocation.
NK Sharma, A Kaufmann, TE Anderson, A Krishnamurthy, J Nelson, ...
NSDI, 67-82, 2017
762017
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
682017
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
502011
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
472014
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
232013
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
172016
Dense approximate storage in phase-change memory
J Nelson, A Sampson, L Ceze
ASPLOS Ideas & Perspectives, 2011
152011
Using the parallel research kernels to study pgas models
RF Van der Wijngaart, S Sridharan, A Kayi, G Jost, JR Hammond, ...
Partitioned Global Address Space Programming Models (PGAS), 2015 9th …, 2015
102015
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
82017
Methods and Systems for Scalable Computing on Commodity Hardware for Irregular Applications
L Ceze, JE Nelson, H Brandon, B Myers, S Kahan, MH Oskin
US Patent App. 13/834,560, 2014
62014
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training
L Luo, J Nelson, L Ceze, A Phanishayee, A Krishnamurthy
arXiv preprint arXiv:1801.09805, 2018
52018
Latency-Tolerant Distributed Shared Memory For Data-Intensive Applications
JE Nelson
52015
Scalable adaptive label propagation in Grappa
G Farnadi, Z Mahdavifar, I Keller, J Nelson, A Teredesai, MF Moens, ...
Big Data (Big Data), 2015 IEEE International Conference on, 1485-1491, 2015
42015
Approximate computing on programmable socs via neural acceleration
T Moreau, J Nelson, A Sampson, H Esmaeilzadeh, L Ceze
Technical report, 2014
32014
Radish: Compiling Efficient Query Plans for Distributed Shared Memory
B Myers, D Halperin, J Nelson, M Oskin, L Ceze, B Howe
Technical Report, 2014
22014
A 10G NetFPGA Prototype for In-Network Aggregation
VT Lee, J Nelson, M Oskin, L Ceze
Workshop on Architectural Research Prototyping (WARP w/ISCA), 2015
12015
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