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Tim Kaler
Tim Kaler
Research scientist in computer science, MIT CSAIL
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
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Процитировано
Процитировано
Год
Evolvegcn: Evolving graph convolutional networks for dynamic graphs
A Pareja, G Domeniconi, J Chen, T Ma, T Suzumura, H Kanezashi, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5363-5370, 2020
12462020
Scalable Graph Learning for Anti-Money Laundering: A First Look
M Weber, J Chen, T Suzumura, A Pareja, T Ma, H Kanezashi, T Kaler, ...
arXiv preprint arXiv:1812.00076, 2018
1372018
Ordering heuristics for parallel graph coloring
W Hasenplaugh, T Kaler, TB Schardl, CE Leiserson
Proceedings of the 26th ACM symposium on Parallelism in algorithms and …, 2014
1252014
Accelerating training and inference of graph neural networks with fast sampling and pipelining
T Kaler, N Stathas, A Ouyang, AS Iliopoulos, T Schardl, CE Leiserson, ...
Proceedings of Machine Learning and Systems 4, 172-189, 2022
642022
Executing dynamic data-graph computations deterministically using chromatic scheduling
T Kaler, W Hasenplaugh, TB Schardl, CE Leiserson
ACM Transactions on Parallel Computing (TOPC) 3 (1), 1-31, 2016
402016
Executing dynamic data-graph computations deterministically using chromatic scheduling
T Kaler, W Hasenplaugh, TB Schardl, CE Leiserson
Proceedings of the 26th ACM symposium on Parallelism in algorithms and …, 2014
402014
A multicore path to connectomics-on-demand
A Matveev, Y Meirovitch, H Saribekyan, W Jakubiuk, T Kaler, G Odor, ...
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017
252017
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
T Kaler, A Iliopoulos, P Murzynowski, T Schardl, CE Leiserson, J Chen
Proceedings of Machine Learning and Systems 5, 2023
222023
Evolving graph convolutional networks for dynamic graphs
J Chen, A Pareja, G Domeniconi, T Ma, T Suzumura, T Kaler, TB Schardl, ...
US Patent 11,537,852, 2022
182022
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation
T Kaler, TB Schardl, B Xie, CE Leiserson, J Chen, A Pareja, G Kollias
Symposium on Algorithmic Principles of Computer Systems (APOCS), 144-158, 2021
132021
Code in the air: simplifying sensing on smartphones
T Kaler, JP Lynch, T Peng, L Ravindranath, A Thiagarajan, ...
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems …, 2010
122010
Optimal Reissue Policies for Reducing Tail Latency
T Kaler, Y He, S Elnikety
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and …, 2017
102017
Polylogarithmic fully retroactive priority queues via hierarchical checkpointing
ED Demaine, T Kaler, Q Liu, A Sidford, A Yedidia
Algorithms and Data Structures: 14th International Symposium, WADS 2015 …, 2015
92015
Cache efficient bloom filters for shared memory machines
T Kaler
Paper. Implementierungen im Ordner../Beispiele, 2013
72013
Cilkmem: Algorithms for analyzing the memory high-water mark of fork-join parallel programs
T Kaler, W Kuszmaul, TB Schardl, D Vettorel
Symposium on Algorithmic Principles of Computer Systems, 162-176, 2020
62020
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
C Bellei, M Xu, R Phillips, T Robinson, M Weber, T Kaler, CE Leiserson, ...
arXiv preprint arXiv:2404.19109, 2024
42024
Programming technologies for engineering quality multicore software
TTFS Kaler
Massachusetts Institute of Technology, 2020
32020
High-throughput image alignment for connectomics using frugal snap judgments: poster
T Kaler, B Wheatman, S Wooders
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
32019
High-Throughput Image Alignment for Connectomics using Frugal Snap Judgments
T Kaler, B Wheatman, S Wooders
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2020
22020
Chromatic scheduling of dynamic data-graph computations
TTFS Kaler
Massachusetts Institute of Technology, 2013
22013
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Статьи 1–20