Tao B. Schardl

50 papers A* 2A 2B 15Journal 19Unranked 9
YearRankTypeTitle / Venue / Authors
2026 B conf
Waste-Efficient Work Stealing.
PPoPP
Kyle Singer, Kunal Agrawal, Tao B. Schardl
2025 B conf
Towards Zero Spawn Overhead: Work Stealing Without Deques.
SPAA
Aaron Handleman, Kyle Singer, Tao B. Schardl, I-Ting Angelina Lee
2025 J jnl
Who Needs Crossings?: Noncrossing Linkages are Universal, and Deciding (Global) Rigidity is Hard.
CoRR
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
2025 J jnl
Who needs crossings?: Noncrossing linkages are universal, and deciding (global) rigidity is hard.
J. Comput. Geom.
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
2024 — conf
Speedcode: Software Performance Engineering Education via the Coding of Didactic Exercises.
IPDPS (Workshops)
Tim Kaler, Xuhao Chen, Brian Wheatman, Dorothy Curtis, Bruce Hoppe, Tao B. Schardl, Charles E. Leiserson
2023 — conf
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching.
MLSys
Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen
2023 J jnl
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching.
CoRR
Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen
2023 B conf
OpenCilk: A Modular and Extensible Software Infrastructure for Fast Task-Parallel Code.
PPoPP
Tao B. Schardl, I-Ting Angelina Lee
2023 B conf
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra.
DCC
Helen Xu, Tao B. Schardl, Michael Pellauer, Joel S. Emer
2023 — conf
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra.
HPEC
Helen Xu, Tao B. Schardl, Michael Pellauer, Joel S. Emer
2022 — ch.
A Work-Efficient Parallel Breadth-First Search Algorithm (or How To Cope With the Nondeterminism of Reducers).
Massive Graph Analytics
Charles E. Leiserson, Tao B. Schardl
2022 — conf
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining.
MLSys
Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen
2022 A conf
Efficient Access History for Race Detection.
ALENEX
Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl
2022 — ch.
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling.
Massive Graph Analytics
Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson
2022 — ch.
Ordering Heuristics for Parallel Graph Coloring.
Massive Graph Analytics
William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
2022 — conf
Peachy Parallel Assignments (EduHPC 2022).
EduHPC@SC
Rocío Carratalá-Sáez, Arturo González-Escribano, Alexandros-Stavros Iliopoulos, Charles E. Leiserson, Charlotte Park, Isabel Rosa, Tao B. Schardl, Yuri Torres, David P. Bunde
2021 A conf
A Hybrid Scheduling Scheme for Parallel Loops.
IPDPS
Aaron Handleman, Arthur G. Rattew, I-Ting Angelina Lee, Tao B. Schardl
2021 J jnl
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining.
CoRR
Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen
2021 B conf
Efficient Access History for Race Detection.
SPAA
Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl
2021 — conf
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation.
APOCS
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
2020 — conf
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs.
APOCS
Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
2020 A* conf
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
AAAI
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
2019 J jnl
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs.
CoRR
Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
2019 J jnl
Tapir: Embedding Recursive Fork-join Parallelism into LLVM's Intermediate Representation.
ACM Trans. Parallel Comput.
Tao B. Schardl, William S. Moses, Charles E. Leiserson
2019 — conf
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
HPEC
Tao B. Schardl, Siddharth Samsi
2019 J jnl
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
CoRR
Tao B. Schardl, Siddharth Samsi
2018 B conf
Brief Announcement: Open Cilk.
SPAA
Tao B. Schardl, I-Ting Angelina Lee, Charles E. Leiserson
2018 J jnl
Efficient Race Detection for Reducer Hyperobjects.
ACM Trans. Parallel Comput.
I-Ting Angelina Lee, Tao B. Schardl
2018 J jnl
On the Efficiency of Localized Work Stealing.
CoRR
Warut Suksompong, Charles E. Leiserson, Tao B. Schardl
2018 J jnl
Scalable Graph Learning for Anti-Money Laundering: A First Look.
CoRR
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl
2018 — conf
The CSI Framework for Compiler-Inserted Program Instrumentation.
SIGMETRICS (Abstracts)
Tao B. Schardl, Tyler Denniston, Damon Doucet, Bradley C. Kuszmaul, I-Ting Angelina Lee, Charles E. Leiserson
2017 B conf
Tapir: Embedding Fork-Join Parallelism into LLVM's Intermediate Representation.
PPoPP
Tao B. Schardl, William S. Moses, Charles E. Leiserson
2017 J jnl
The CSI Framework for Compiler-Inserted Program Instrumentation.
Proc. ACM Meas. Anal. Comput. Syst.
Tao B. Schardl, Tyler Denniston, Damon Doucet, Bradley C. Kuszmaul, I-Ting Angelina Lee, Charles E. Leiserson
2017 J jnl
Upper Bounds on Number of Steals in Rooted Trees.
CoRR
Charles E. Leiserson, Tao B. Schardl, Warut Suksompong
2016 J jnl
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling.
ACM Trans. Parallel Comput.
Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson
2016 J jnl
On the efficiency of localized work stealing.
Inf. Process. Lett.
Warut Suksompong, Charles E. Leiserson, Tao B. Schardl
2016 J jnl
Upper Bounds on Number of Steals in Rooted Trees.
Theory Comput. Syst.
Charles E. Leiserson, Tao B. Schardl, Warut Suksompong
2016 A* conf
Who Needs Crossings? Hardness of Plane Graph Rigidity.
SoCG
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
2015 B conf
Efficiently Detecting Races in Cilk Programs That Use Reducer Hyperobjects.
SPAA
I-Ting Angelina Lee, Tao B. Schardl
2015 J jnl
On-the-Fly Pipeline Parallelism.
ACM Trans. Parallel Comput.
I-Ting Angelina Lee, Charles E. Leiserson, Tao B. Schardl, Zhunping Zhang, Jim Sukha
2015 B conf
The Cilkprof Scalability Profiler.
SPAA
Tao B. Schardl, Bradley C. Kuszmaul, I-Ting Angelina Lee, William M. Leiserson, Charles E. Leiserson
2014 B conf
Executing dynamic data-graph computations deterministically using chromatic scheduling.
SPAA
Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson
2014 B conf
Ordering heuristics for parallel graph coloring.
SPAA
William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
2013 J jnl
Finding a Hamiltonian Path in a Cube with Specified Turns is Hard.
Inf. Media Technol.
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
2013 J jnl
Finding a Hamiltonian Path in a Cube with Specified Turns is Hard.
J. Inf. Process.
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
2013 J jnl
Folding Equilateral Plane graphs.
Int. J. Comput. Geom. Appl.
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl, Isaac Shapiro-Ellowitz
2013 B conf
On-the-fly pipeline parallelism.
SPAA
I-Ting Angelina Lee, Charles E. Leiserson, Tao B. Schardl, Jim Sukha, Zhunping Zhang
2012 B conf
Deterministic parallel random-number generation for dynamic-multithreading platforms.
PPoPP
Charles E. Leiserson, Tao B. Schardl, Jim Sukha
2011 B conf
Folding Equilateral Plane Graphs.
ISAAC
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl, Isaac Shapiro-Ellowitz
2010 B conf
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers).
SPAA
Charles E. Leiserson, Tao B. Schardl