Mark Blacher

18 papers A* 3A 1B 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Einsum Trees: An Abstraction for Optimizing the Execution of Tensor Expressions.
ASPLOS (2)
Alexander Breuer, Mark Blacher, Max Engel, Joachim Giesen, Alexander Heinecke, Julien Klaus, Stefan Remke
2025 J jnl
The Syntax and Semantics of einsum.
CoRR
Maurice Wenig, Paul Gerhardt Rump, Mark Blacher, Joachim Giesen
2024 A* conf
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines.
NeurIPS
Mark Blacher, Christoph Staudt, Julien Klaus, Maurice Wenig, Niklas Merk, Alexander Breuer, Max Engel, Sören Laue, Joachim Giesen
2024 B conf
Improved Cut Strategy for Tensor Network Contraction Orders.
SEA
Christoph Staudt, Mark Blacher, Julien Klaus, Farin Lippmann, Joachim Giesen
2024 A* conf
Model Counting and Sampling via Semiring Extensions.
AAAI
Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus
2024 J jnl
Optimizing Tensor Contraction Paths: A Greedy Algorithm Approach With Improved Cost Functions.
CoRR
Sheela Orgler, Mark Blacher
2024 — conf
Serving MPE Queries on Tensor Networks by Computing Derivatives.
PGM
Maurice Wenig, Hanno Barschel, Joachim Giesen, Andreas Goral, Mark Blacher
2023 J jnl
A visual analytics workflow for probabilistic modeling.
Vis. Informatics
Julien Klaus, Mark Blacher, Andreas Goral, Philipp Lucas, Joachim Giesen
2023 — conf
Compiling Tensor Expressions into Einsum.
ICCS (2)
Julien Klaus, Mark Blacher, Joachim Giesen
2023 J jnl
Efficient and Portable Einstein Summation in SQL.
Proc. ACM Manag. Data
Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen
2022 — conf
Compiling Linear Algebra Expressions into Efficient Code.
ICCS (1)
Julien Klaus, Mark Blacher, Joachim Giesen, Paul Gerhardt Rump, Konstantin Wiedom
2022 A conf
Machine Learning, Linear Algebra, and More: Is SQL All You Need?
CIDR
Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis
2022 A* conf
Optimization for Classical Machine Learning Problems on the GPU.
AAAI
Sören Laue, Mark Blacher, Joachim Giesen
2022 J jnl
Optimization for Classical Machine Learning Problems on the GPU.
CoRR
Sören Laue, Mark Blacher, Joachim Giesen
2022 J jnl
Vectorized and performance-portable Quicksort.
CoRR
Mark Blacher, Joachim Giesen, Peter Sanders, Jan Wassenberg
2022 J jnl
Vectorized and performance-portable quicksort.
Softw. Pract. Exp.
Jan Wassenberg, Mark Blacher, Joachim Giesen, Peter Sanders
2021 B conf
Fast and Robust Vectorized In-Place Sorting of Primitive Types.
SEA
Mark Blacher, Joachim Giesen, Lars Kuehne
2020 — conf
Fast Entity Resolution With Mock Labels and Sorted Integer Sets.
DI2KG@VLDB
Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Matthias Mitterreiter