activity
20222024
most citedLarge Scale Enrichment and Statistical Cyber Characterization of Network Traffic (Enriquecimiento a gran escala y caracterización cibernética estadística del tráfico de red)

8 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DC2024

LLload: Simplifying Real-Time Job Monitoring for HPC Users

Chansup Byun, Julia Mullen, Albert Reuther +16

One of the more complex tasks for researchers using HPC systems is performance monitoring and tuning of their applications. Developing a practice of continuous performance improvem…

cs.LG2023

Testing RadiX-Nets: Advances in Viable Sparse Topologies

Kevin Kwak, Zack West, Hayden Jananthan +1

The exponential growth of data has sparked computational demands on ML research and industry use. Sparsification of hyper-parametrized deep neural networks (DNNs) creates simpler r…

cs.DB2023

Fuzzy Relational Databases via Associative Arrays

Kevin Min, Hayden Jananthan, Jeremy Kepner

The increasing rise in artificial intelligence has made the use of imprecise language in computer programs like ChatGPT more prominent. Fuzzy logic addresses this form of imprecise…

cs.SI2023

From Bits to Insights: Exploring Network Traffic, Traffic Matrices, and Heavy-Tailed Data

Christopher Howard, Hayden Jananthan, Jeremy Kepner

With the Internet a central component of modern society, entire industries and fields have developed both in support and against cybersecurity. For cyber operators to best understa…

cs.DM2023

Algebraic Conditions on One-Step Breadth-First Search

Emma Fu, Hayden Jananthan, Jeremy Kepner

The GraphBLAS community has demonstrated the power of linear algebra-leveraged graph algorithms, such as matrix-vector products for breadth-first search (BFS) traversals. This pape…

cs.SI2023

Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations

Hayden Jananthan, Jeremy Kepner, Michael Jones +25

Expanding the scientific tools available to protect computer networks can be aided by a deeper understanding of the underlying statistical distributions of network traffic and thei…