272 citations · 1.7k across the 81 of their papers we have counts for
83 papers
PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination
Haoran Jiang, Yichao Zhong, Kai Zhang +6
Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace. Rapid repositioning can compromise striking acc…
Analyzing 10 Petabit/s Network Data with Accelerated Associative (Token) Arrays
Jeremy Kepner, Hayden Jananthan, LaToya Anderson +19
As networks expand and become an ever more critical infrastructure to modern society the need to analyze these networks with the highest regard for privacy is essential to ensure t…
Interactive and Urgent HPC: State of the Research
Albert Reuther, William Arndt, Johannes Blaschke +10
When we think of how we use smartphones, e-commerce, collaboration platforms, LLMs, etc., most of our interactions with computers are interactive and often urgent. Similar trends o…
Lincoln AI Computing Survey (LAICS) and Trends
Albert Reuther, Peter Michaleas, Michael Jones +2
In the past year, generative AI (GenAI) models have received a tremendous amount of attention, which in turn has increased attention to computing systems for training and inference…
Scaling Performance of Large Language Model Pretraining
Alexander Interrante-Grant, Carla Varela-Rosa, Suhaas Narayan +2
Large language models (LLMs) show best-in-class performance across a wide range of natural language processing applications. Training these models is an extremely computationally e…
Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8
Piotr Luszczek, Vijay Gadepally, LaToya Anderson +18
Mixing precisions for performance has been an ongoing trend as the modern hardware accelerators started including new, and mostly lower-precision, data formats. The advantage of us…
DBOS Network Sensing: A Web Services Approach to Collaborative Awareness
Sophia Lockton, Jeremy Kepner, Michael Stonebraker +26
DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort…
Easy Acceleration with Distributed Arrays
Jeremy Kepner, Chansup Byun, LaToya Anderson +20
High level programming languages and GPU accelerators are powerful enablers for a wide range of applications. Achieving scalable vertical (within a compute node), horizontal (acros…
GPU Sharing with Triples Mode
Chansup Byun, Albert Reuther, LaToya Anderson +19
There is a tremendous amount of interest in AI/ML technologies due to the proliferation of generative AI applications such as ChatGPT. This trend has significantly increased demand…
LLload: An Easy-to-Use HPC Utilization Tool
Chansup Byun, Albert Reuther, Julie Mullen +19
The increasing use and cost of high performance computing (HPC) requires new easy-to-use tools to enable HPC users and HPC systems engineers to transparently understand the utiliza…
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring
William Bergeron, Matthew Hubbell, Daniel Mojica +17
Real-time supercomputing performance analysis is a critical aspect of evaluating and optimizing computational systems in a dynamic user environment. The operation of supercomputers…
HPC with Enhanced User Separation
Andrew Prout, Albert Reuther, Michael Houle +19
HPC systems used for research run a wide variety of software and workflows. This software is often written or modified by users to meet the needs of their research projects, and ra…
What is Normal? A Big Data Observational Science Model of Anonymized Internet Traffic
Jeremy Kepner, Hayden Jananthan, Michael Jones +26
Understanding what is normal is a key aspect of protecting a domain. Other domains invest heavily in observational science to develop models of normal behavior to better detect ano…
Anonymized Network Sensing Graph Challenge
Hayden Jananthan, Michael Jones, William Arcand +26
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…
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…
Teaching Network Traffic Matrices in an Interactive Game Environment
Chasen Milner, Hayden Jananthan, Jeremy Kepner +7
The Internet has become a critical domain for modern society that requires ongoing efforts for its improvement and protection. Network traffic matrices are a powerful tool for unde…
Interactive and Urgent HPC: Challenges and Opportunities
Albert Reuther, Nick Brown, William Arndt +7
As a broader set of applications from simulations to data analysis and machine learning require more parallel computational capability, the demand for interactive and urgent high p…
Lincoln AI Computing Survey (LAICS) Update
Albert Reuther, Peter Michaleas, Michael Jones +3
This paper is an update of the survey of AI accelerators and processors from past four years, which is now called the Lincoln AI Computing Survey - LAICS (pronounced "lace"). As in…
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…
pPython Performance Study
Chansup Byun, William Arcand, David Bestor +17
pPython seeks to provide a parallel capability that provides good speed-up without sacrificing the ease of programming in Python by implementing partitioned global array semantics…
Focusing and Calibration of Large Scale Network Sensors using GraphBLAS Anonymized Hypersparse Matrices
Jeremy Kepner, Michael Jones, Phil Dykstra +23
Defending community-owned cyber space requires community-based efforts. Large-scale network observations that uphold the highest regard for privacy are key to protecting our shared…
Deployment of Real-Time Network Traffic Analysis using GraphBLAS Hypersparse Matrices and D4M Associative Arrays
Michael Jones, Jeremy Kepner, Andrew Prout +20
Matrix/array analysis of networks can provide significant insight into their behavior and aid in their operation and protection. Prior work has demonstrated the analytic, performan…
Trends in Energy Estimates for Computing in AI/Machine Learning Accelerators, Supercomputers, and Compute-Intensive Applications
Sadasivan Shankar, Albert Reuther
We examine the computational energy requirements of different systems driven by the geometrical scaling law, and increasing use of Artificial Intelligence or Machine Learning (AI-M…
AI and ML Accelerator Survey and Trends
Albert Reuther, Peter Michaleas, Michael Jones +3
This paper updates the survey of AI accelerators and processors from past three years. This paper collects and summarizes the current commercial accelerators that have been publicl…