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researcher

J. Sewall

2 papers hereh-index 211.9k citations48 works total

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

author position
  • first author1
  • middle author1

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

fields
  • astro-ph.CO1
  • cs.PF1

identity via Semantic Scholar / OpenAlex

most citedHigh-Performance Code Generation though Fusion and Vectorization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

astro-ph.CO2018

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Amrita Mathuriya, Deborah Bard, Peter Mendygral +14

Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…

cs.PF2017★ 2 cited

High-Performance Code Generation though Fusion and Vectorization

Jason Sewall, Simon J. Pennycook

We present a technique for automatically transforming kernel-based computations in disparate, nested loops into a fused, vectorized form that can reduce intermediate storage needs…

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