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Jeffrey S. Vetter

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AR1
  • cs.NE1
ORCID 0000-0002-2449-6720
same name
  • Jeffrey S. Vetter — 4 papers, h 2
  • Jeffrey S. Vetter — 3 papers, h 6
  • Jeffrey S. Vetter — 2 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Survey of Methods For Analyzing and Improving GPU Energy Efficiency

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.DC2023★ 7 cited

Julia as a unifying end-to-end workflow language on the Frontier exascale system

William F. Godoy, Pedro Valero-Lara, Caira Anderson +4

We evaluate Julia as a single language and ecosystem paradigm powered by LLVM to develop workflow components for high-performance computing. We run a Gray-Scott, 2-variable diffusi…

cs.NE2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments

Shruti R. Kulkarni, Aaron Young, Prasanna Date +12

This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experim…

cs.NE2022

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron

Prasanna Date, Shruti Kulkarni, Aaron Young +3

Neuromorphic computers perform computations by emulating the human brain, and use extremely low power. They are expected to be indispensable for energy-efficient computing in the f…

cs.AR2014★ 2 cited

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

Recent years have witnessed a phenomenal growth in the computational capabilities and applications of GPUs. However, this trend has also led to dramatic increase in their power con…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.