Artigos com autorizações de acesso público - Tim KalerSaiba mais
1 artigo não disponível publicamente
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
Autorizações: US National Science Foundation, US Department of Defense, US Office of the …
7 artigos disponíveis publicamente
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
Autorizações: US Department of Defense
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation, US Office of the Director of National …
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
Autorizações: US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation
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