activity
20182024
most citedAI and ML Accelerator Survey and Trends

96 citations · 106 across the 7 of their papers we have counts for

collaborators

20 papers

cs.AR202296 cited

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…

cs.NI2022

Hypersparse Network Flow Analysis of Packets with GraphBLAS

Tyler Trigg, Chad Meiners, Sandeep Pisharody +23

Internet analysis is a major challenge due to the volume and rate of network traffic. In lieu of analyzing traffic as raw packets, network analysts often rely on compressed network…

cs.CR2021

Realizing Forward Defense in the Cyber Domain

Sandeep Pisharody, Jonathan Bernays, Vijay Gadepally +6

With the recognition of cyberspace as an operating domain, concerted effort is now being placed on addressing it in the whole-of-domain manner found in land, sea, undersea, air, an…

cs.DC2021

The MIT Supercloud Dataset

Siddharth Samsi, Matthew L Weiss, David Bestor +24

Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers a…

cs.DC2020

Survey of Machine Learning Accelerators

Albert Reuther, Peter Michaleas, Michael Jones +3

New machine learning accelerators are being announced and released each month for a variety of applications from speech recognition, video object detection, assisted driving, and m…

cs.CV2020

Accuracy and Performance Comparison of Video Action Recognition Approaches

Matthew Hutchinson, Siddharth Samsi, William Arcand +16

Over the past few years, there has been significant interest in video action recognition systems and models. However, direct comparison of accuracy and computational performance re…