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2020 – today
- 2021
[c24]Zixian Cai, Zhengyang Liu, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi:
Synthesizing optimal collective algorithms. PPoPP 2021: 62-75- [c23]Jacob Nelson, Ahmed Hassan, Roberto Palmieri:
Bundled references: an abstraction for highly-concurrent linearizable range queries. PPoPP 2021: 448-450 - 2020
- [c22]Anna Kornfeld Simpson, Adriana Szekeres, Jacob Nelson, Irene Zhang:
Securing RDMA for High-Performance Datacenter Storage Systems. HotCloud 2020 - [c21]Lior Zeno, Dan R. K. Ports, Jacob Nelson, Mark Silberstein:
SwiShmem: Distributed Shared State Abstractions for Programmable Switches. HotNets 2020: 160-167 - [c20]Jacob Nelson, Roberto Palmieri:
On the Performance Impact of NUMA on One-sided RDMA Interactions. ICDCS 2020: 1181-1182 - [c19]Yueheng Wang, Kun Qian, Jacob Nelson, Hiromichi Yagi, Akifumi Kishi, Kenji Morita, Yoshiharu Yamamoto:
Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. LifeTech 2020: 366-367 - [c18]Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson:
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. MLSys 2020 - [c17]Jialin Li, Jacob Nelson, Ellis Michael, Xin Jin, Dan R. K. Ports:
Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories. OSDI 2020: 387-406 - [c16]Jacob Nelson, Roberto Palmieri:
Performance Evaluation of the Impact of NUMA on One-sided RDMA Interactions. SRDS 2020: 288-298 - [i5]Zixian Cai, Zhengyang Liu, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi:
Synthesizing Optimal Collective Algorithms. CoRR abs/2008.08708 (2020) - [i4]Jacob Nelson, Ahmed Hassan, Roberto Palmieri:
Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries. CoRR abs/2012.15438 (2020)
2010 – 2019
- 2019
- [c15]Jacob Nelson, Roberto Palmieri
:
Understanding RDMA Behavior in NUMA Systems. CGO 2019: 273-274 - [c14]Dan R. K. Ports, Jacob Nelson:
When Should The Network Be The Computer? HotOS 2019: 209-215 - [c13]Muluken Hailesellasie, Jacob Nelson, Faiq Khalid, Syed Rafay Hasan:
VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity. MWSCAS 2019: 650-653 - [c12]Zhanhao Chen, Ahmed Hassan, Masoomeh Javidi Kishi, Jacob Nelson, Roberto Palmieri:
HaTS: Hardware-Assisted Transaction Scheduler. OPODIS 2019: 10:1-10:16 - [c11]Jacob Nelson, Roberto Palmieri:
Don't Forget About Synchronization!: A Case Study of K-Means on GPU. PMAM@PPoPP 2019: 11-20 - [i3]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik:
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR abs/1903.06701 (2019) - 2018
- [c10]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. SoCC 2018: 41-54 - [i2]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training. CoRR abs/1801.09805 (2018) - [i1]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. CoRR abs/1805.07891 (2018) - 2017
- [j3]Megan Tomko, Jacob Nelson, Robert L. Nagel, Matthew Bohm, Julie Linsey:
A bridge to systems thinking in engineering design: An examination of students' ability to identify functions at varying levels of abstraction. Artif. Intell. Eng. Des. Anal. Manuf. 31(4): 535-549 (2017) - [c9]Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya:
IncBricks: Toward In-Network Computation with an In-Network Cache. ASPLOS 2017: 795-809 - [c8]Naveen Kr. Sharma, Antoine Kaufmann, Thomas E. Anderson, Arvind Krishnamurthy, Jacob Nelson, Simon Peter:
Evaluating the Power of Flexible Packet Processing for Network Resource Allocation. NSDI 2017: 67-82 - 2016
- [c7]Rob F. Van der Wijngaart, Abdullah Kayi, Jeff R. Hammond, Gabriele Jost, Tom St. John, Srinivas Sridharan, Timothy G. Mattson, John Abercrombie, Jacob Nelson:
Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels. ISC 2016: 321-339 - 2015
- [j2]Jacob Nelson, Brandon Holt, Brandon Myers, Preston Briggs, Simon Kahan, Luis Ceze, Mark Oskin:
Trading Latency for Performance in Data-Intensive Applications. login Usenix Mag. 40(5) (2015) - [c6]Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock:
Scalable adaptive label propagation in Grappa. BigData 2015: 1485-1491 - [c5]Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin:
SNNAP: Approximate computing on programmable SoCs via neural acceleration. HPCA 2015: 603-614 - [c4]Jacob Nelson, Brandon Holt, Brandon Myers, Preston Briggs, Luis Ceze, Simon Kahan, Mark Oskin:
Latency-Tolerant Software Distributed Shared Memory. USENIX Annual Technical Conference 2015: 291-305 - 2014
- [j1]Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze:
Approximate Storage in Solid-State Memories. ACM Trans. Comput. Syst. 32(3): 9:1-9:23 (2014) - 2013
- [c3]Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze:
Approximate storage in solid-state memories. MICRO 2013: 25-36 - 2011
- [c2]Joseph Devietti, Jacob Nelson, Tom Bergan, Luis Ceze, Dan Grossman:
RCDC: a relaxed consistency deterministic computer. ASPLOS 2011: 67-78 - [c1]Jacob Nelson, Brandon Myers, A. H. Hunter, Preston Briggs, Luis Ceze, Carl Ebeling, Dan Grossman, Simon Kahan, Mark Oskin:
Crunching Large Graphs with Commodity Processors. HotPar 2011
Coauthor Index
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