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researcher

Mark Blacher

2 papers here

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
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedVectorized and performance-portable Quicksort

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2022★ 4 cited

Vectorized and performance-portable Quicksort

Mark Blacher, Joachim Giesen, Peter Sanders +1

Recent works showed that implementations of Quicksort using vector CPU instructions can outperform the non-vectorized algorithms in widespread use. However, these implementations a…

cs.LG2022

Optimization for Classical Machine Learning Problems on the GPU

Sören Laue, Mark Blacher, Joachim Giesen

Constrained optimization problems arise frequently in classical machine learning. There exist frameworks addressing constrained optimization, for instance, CVXPY and GENO. However,…

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