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Scott Pakin

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • quant-ph1
  • stat.AP1
ORCID 0000-0002-5220-1985

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedModeling and Predicting Power Consumption of High Performance Computing Jobs

13 citations · 20 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2025

Productive Quantum Programming Needs Better Abstract Machines

Santiago Núñez-Corrales, Olivia Di Matteo, John Dumbell +4

An effective, accessible abstraction hierarchy has made using and programming computers possible for people across all disciplines. Establishing such a hierarchy for quantum progra…

cs.DC2024★ 7 cited

Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware

Danny Perez, Aidan Thompson, Stan Moore +11

The evolution of molecular dynamics (MD) simulations has been intimately linked to that of computing hardware. For decades following the creation of MD, simulations have improved w…

stat.AP2014★ 13 cited

Modeling and Predicting Power Consumption of High Performance Computing Jobs

Curtis Storlie, Joe Sexton, Scott Pakin +3

Power is becoming an increasingly important concern for large supercomputing centers. Due to cost concerns, data centers are becoming increasingly limited in their ability to enhan…

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