Tao B. Schardl
Affiliations:- Massachusetts Institute of Technology, Cambridge, USA (PhD 2016)
According to our database1,
Tao B. Schardl
authored at least 33 papers
between 2010 and 2023.
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Bibliography
2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching.
CoRR, 2023
OpenCilk: A Modular and Extensible Software Infrastructure for Fast Task-Parallel Code.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
Proceedings of the Data Compression Conference, 2023
2022
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining.
Proceedings of Machine Learning and Systems 2022, 2022
Proceedings of the IEEE/ACM International Workshop on Education for High Performance Computing, 2022
Proceedings of the Symposium on Algorithm Engineering and Experiments, 2022
A Work-Efficient Parallel Breadth-First Search Algorithm (or How To Cope With the Nondeterminism of Reducers).
Proceedings of the Massive Graph Analytics, 2022
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling.
Proceedings of the Massive Graph Analytics, 2022
Proceedings of the Massive Graph Analytics, 2022
2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation.
Proceedings of the 2nd Symposium on Algorithmic Principles of Computer Systems, 2021
2020
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs.
Proceedings of the 1st Symposium on Algorithmic Principles of Computer Systems, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Tapir: Embedding Recursive Fork-join Parallelism into LLVM's Intermediate Representation.
ACM Trans. Parallel Comput., 2019
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
2018
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018
2017
Proc. ACM Meas. Anal. Comput. Syst., 2017
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017
2016
Performance engineering of multicore software: developing a science of fast code for the post-Moore era.
PhD thesis, 2016
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling.
ACM Trans. Parallel Comput., 2016
Proceedings of the 32nd International Symposium on Computational Geometry, 2016
2015
Proceedings of the 27th ACM on Symposium on Parallelism in Algorithms and Architectures, 2015
Proceedings of the 27th ACM on Symposium on Parallelism in Algorithms and Architectures, 2015
2014
Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures, 2014
2013
J. Inf. Process., 2013
2012
Deterministic parallel random-number generation for dynamic-multithreading platforms.
Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012
2010
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers).
Proceedings of the SPAA 2010: Proceedings of the 22nd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2010