Tao B. Schardl

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Ordering Heuristics

Top Venues

ACM Trans. Parallel Comput.

Publications

Tim Kaler, Xuhao Chen, Brian Wheatman, Dorothy Curtis, Bruce Hoppe, Tao B. Schardl, Charles E. Leiserson
Speedcode: Software Performance Engineering Education via the Coding of Didactic Exercises. IPDPS (Workshops) (2024)
Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching. MLSys (2023)
Tao B. Schardl, I-Ting Angelina Lee
OpenCilk: A Modular and Extensible Software Infrastructure for Fast Task-Parallel Code. PPoPP (2023)
Helen Xu, Tao B. Schardl, Michael Pellauer, Joel S. Emer
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra. DCC (2023)
Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching. CoRR (2023)
Helen Xu, Tao B. Schardl, Michael Pellauer, Joel S. Emer
Optimizing Compression Schemes for Parallel Sparse Tensor Algebra. HPEC (2023)
Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl
Efficient Access History for Race Detection. ALENEX (2022)
Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining. MLSys (2022)
Rocío Carratalá-Sáez, Arturo González-Escribano, Alexandros-Stavros Iliopoulos, Charles E. Leiserson, Charlotte Park, Isabel Rosa, Tao B. Schardl, Yuri Torres, David P. Bunde
Peachy Parallel Assignments (EduHPC 2022). EduHPC@SC (2022)
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. APOCS (2021)
Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining. CoRR (2021)
Aaron Handleman, Arthur G. Rattew, I-Ting Angelina Lee, Tao B. Schardl
A Hybrid Scheduling Scheme for Parallel Loops. IPDPS (2021)
Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl
Efficient Access History for Race Detection. SPAA (2021)
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI (2020)
Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs. APOCS (2020)
Tao B. Schardl, William S. Moses, Charles E. Leiserson
Tapir: Embedding Recursive Fork-join Parallelism into LLVM's Intermediate Representation. ACM Trans. Parallel Comput. 6 (4) (2019)
Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs. CoRR (2019)
Tao B. Schardl, Siddharth Samsi
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. HPEC (2019)
Tao B. Schardl, Siddharth Samsi
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. CoRR (2019)
Tao B. Schardl, I-Ting Angelina Lee, Charles E. Leiserson
Brief Announcement: Open Cilk. SPAA (2018)
Tao B. Schardl, Tyler Denniston, Damon Doucet, Bradley C. Kuszmaul, I-Ting Angelina Lee, Charles E. Leiserson
The CSI Framework for Compiler-Inserted Program Instrumentation. SIGMETRICS (Abstracts) (2018)
Warut Suksompong, Charles E. Leiserson, Tao B. Schardl
On the Efficiency of Localized Work Stealing. CoRR (2018)
I-Ting Angelina Lee, Tao B. Schardl
Efficient Race Detection for Reducer Hyperobjects. ACM Trans. Parallel Comput. 4 (4) (2018)
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR (2018)
Tao B. Schardl, William S. Moses, Charles E. Leiserson
Tapir: Embedding Fork-Join Parallelism into LLVM's Intermediate Representation. PPOPP (2017)
Charles E. Leiserson, Tao B. Schardl, Warut Suksompong
Upper Bounds on Number of Steals in Rooted Trees. CoRR (2017)
Tao B. Schardl, Tyler Denniston, Damon Doucet, Bradley C. Kuszmaul, I-Ting Angelina Lee, Charles E. Leiserson
The CSI Framework for Compiler-Inserted Program Instrumentation. Proc. ACM Meas. Anal. Comput. Syst. 1 (2) (2017)
Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling. ACM Trans. Parallel Comput. 3 (1) (2016)
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
Who Needs Crossings? Hardness of Plane Graph Rigidity. SoCG (2016)
Charles E. Leiserson, Tao B. Schardl, Warut Suksompong
Upper Bounds on Number of Steals in Rooted Trees. Theory Comput. Syst. 58 (2) (2016)
Warut Suksompong, Charles E. Leiserson, Tao B. Schardl
On the efficiency of localized work stealing. Inf. Process. Lett. 116 (2) (2016)
I-Ting Angelina Lee, Tao B. Schardl
Efficiently Detecting Races in Cilk Programs That Use Reducer Hyperobjects. SPAA (2015)
I-Ting Angelina Lee, Charles E. Leiserson, Tao B. Schardl, Zhunping Zhang, Jim Sukha
On-the-Fly Pipeline Parallelism. ACM Trans. Parallel Comput. 2 (3) (2015)
Tao B. Schardl, Bradley C. Kuszmaul, I-Ting Angelina Lee, William M. Leiserson, Charles E. Leiserson
The Cilkprof Scalability Profiler. SPAA (2015)
William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
Ordering heuristics for parallel graph coloring. SPAA (2014)
Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson
Executing dynamic data-graph computations deterministically using chromatic scheduling. SPAA (2014)
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
Finding a Hamiltonian Path in a Cube with Specified Turns is Hard. J. Inf. Process. 21 (3) (2013)
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl, Isaac Shapiro-Ellowitz
Folding Equilateral Plane graphs. Int. J. Comput. Geom. Appl. 23 (2) (2013)
I-Ting Angelina Lee, Charles E. Leiserson, Tao B. Schardl, Jim Sukha, Zhunping Zhang
On-the-fly pipeline parallelism. SPAA (2013)
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl
Finding a Hamiltonian Path in a Cube with Specified Turns is Hard. Inf. Media Technol. 8 (3) (2013)
Charles E. Leiserson, Tao B. Schardl, Jim Sukha
Deterministic parallel random-number generation for dynamic-multithreading platforms. PPOPP (2012)
Zachary Abel, Erik D. Demaine, Martin L. Demaine, Sarah Eisenstat, Jayson Lynch, Tao B. Schardl, Isaac Shapiro-Ellowitz
Folding Equilateral Plane Graphs. ISAAC (2011)
Charles E. Leiserson, Tao B. Schardl
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers). SPAA (2010)