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Conference and Workshop Papers
- 2023
[c17]Trevor Steil
, Tahsin Reza, Benjamin Priest, Roger Pearce:
Embracing Irregular Parallelism in HPC with YGM. SC 2023: 35:1-35:13- [c16]Keita Iwabuchi, Trevor Steil, Benjamin Priest, Roger Pearce, Geoffrey Sanders:
Towards A Massive-scale Distributed Neighborhood Graph Construction. SC Workshops 2023: 728-738 - 2021
- [c15]Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce:
TriPoll: computing surveys of triangles in massive-scale temporal graphs with metadata. SC 2021: 67 - 2020
- [c14]Imène R. Goumiri, Benjamin W. Priest, Michael D. Schneider:
Reinforcement Learning via Gaussian Processes with Neural Network Dual Kernels. CoG 2020: 1-8 - [c13]Benjamin W. Priest, Alec Michael Dunton, Geoffrey Sanders:
Scaling Graph Clustering with Distributed Sketches. HPEC 2020: 1-7 - [c12]Trevor Steil, Scott McMillan, Geoffrey Sanders, Roger Pearce, Benjamin Priest:
Kronecker Graph Generation with Ground Truth for 4-Cycles and Dense Structure in Bipartite Graphs. IPDPS Workshops 2020: 237-246 - 2019
- [c11]Roger Pearce, Trevor Steil, Benjamin W. Priest, Geoffrey Sanders:
One Quadrillion Triangles Queried on One Million Processors. HPEC 2019: 1-5 - [c10]Benjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce:
You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives. IPDPS Workshops 2019: 221-230 - [c9]Trevor Steil, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Keita Iwabuchi:
Distributed Kronecker Graph Generation with Ground Truth of Many Graph Properties. IPDPS Workshops 2019: 251-260 - 2018
- [c8]Benjamin W. Priest, Roger Pearce, Geoffrey Sanders:
Estimating Edge-Local Triangle Count Heavy Hitters in Edge-Linear Time and Almost-Vertex-Linear Space. HPEC 2018: 1-7 - [c7]Luan Huy Pham, Massimiliano Albanese, Benjamin W. Priest:
A Quantitative Framework to Model Advanced Persistent Threats. ICETE (2) 2018: 448-459 - 2015
- [c6]Ben W. Priest, Era Vuksani, Neal Wagner, Brady Tello, Kevin M. Carter, William W. Streilein:
Agent-based simulation in support of moving target cyber defense technology development and evaluation. SpringSim (CNS) 2015: 16-23 - 2014
- [c5]Benjamin Priest, Kevin M. Carter:
Characterizing Latent User Interests on Enterprise Networks. FLAIRS 2014 - [c4]Kevin M. Carter, Rajmonda Sulo Caceres, Ben Priest:
Latent community discovery through enterprise user search query modeling. SIGIR 2014: 871-874 - 2013
- [c3]Kevin Gold, Zachary J. Weber, Ben Priest, Josh Ziegler, Karen Sittig, William W. Streilein, Mark Mazumder:
Modeling how thinking about the past and future impacts network traffic with the gosmr architecture. AAMAS 2013: 127-134 - [c2]Kevin Gold, Ben Priest, Kevin M. Carter:
An Expectation Maximization Approach to Detecting Compromised Remote Access Accounts. FLAIRS 2013 - [c1]Ben Priest, Kevin Gold:
Utility discounting explains informational website traffic patterns before a hurricane. WWW (Companion Volume) 2013: 53-54
Parts in Books or Collections
- 2022
- [p2]Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil:
Massive-Scale Distributed Triangle Computation and Applications. Massive Graph Analytics 2022: 127-158 - 2019
- [p1]Benjamin W. Priest, George Cybenko, Satinder Singh, Massimiliano Albanese, Peng Liu:
Online and Scalable Adaptive Cyber Defense. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 232-261
Informal and Other Publications
- 2022
- [i6]Alec M. Dunton, Benjamin W. Priest, Amanda Muyskens:
Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation. CoRR abs/2205.10879 (2022) - [i5]Killian Wood, Alec M. Dunton, Amanda Muyskens, Benjamin W. Priest:
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization. CoRR abs/2209.11280 (2022) - 2021
- [i4]Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce:
TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata. CoRR abs/2107.12330 (2021) - 2020
- [i3]Benjamin W. Priest:
DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications. CoRR abs/2004.04289 (2020) - [i2]Imène R. Goumiri, Benjamin W. Priest, Michael D. Schneider:
Reinforcement Learning via Gaussian Processes with Neural Network Dual Kernels. CoRR abs/2004.05198 (2020) - [i1]Benjamin W. Priest, Alec Michael Dunton, Geoffrey Sanders:
Scaling Graph Clustering with Distributed Sketches. CoRR abs/2007.12669 (2020)
Coauthor Index
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