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2020 – today
- 2024
[c14]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: 391-394- [i6]Claudio Bellei, Muhua Xu, Ross Phillips, Tom Robinson, Mark Weber, Tim Kaler, Charles E. Leiserson, Arvind, Jie Chen:
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset. CoRR abs/2404.19109 (2024) - 2023
- [c13]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 - [i5]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 abs/2305.03152 (2023) - 2022
- [c12]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 - [p2]William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
Ordering Heuristics for Parallel Graph Coloring. Massive Graph Analytics 2022: 193-221 - [p1]Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson:
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling. Massive Graph Analytics 2022: 397-429 - 2021
- [c11]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: 144-158 - [i4]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 abs/2110.08450 (2021) - 2020
- [c10]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: 5363-5370 - [c9]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: 162-176 - [c8]Tim Kaler, Brian Wheatman
, Sarah Wooders:
High-Throughput Image Alignment for Connectomics using Frugal Snap Judgments. HPEC 2020: 1-9
2010 – 2019
- 2019
- [c7]Tim Kaler, Brian Wheatman, Sarah Wooders:
High-throughput image alignment for connectomics using frugal snap judgments: poster. PPoPP 2019: 433-434 - [i3]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - [i2]Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel:
Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs. CoRR abs/1910.12340 (2019) - 2018
- [i1]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 abs/1812.00076 (2018) - 2017
- [c6]Alexander Matveev, Yaron Meirovitch, Hayk Saribekyan, Wiktor Jakubiuk, Tim Kaler, Gergely Ódor, David M. Budden, Aleksandar Zlateski, Nir Shavit:
A Multicore Path to Connectomics-on-Demand. PPoPP 2017: 267-281 - [c5]Tim Kaler, Yuxiong He, Sameh Elnikety:
Optimal Reissue Policies for Reducing Tail Latency. SPAA 2017: 195-206 - 2016
- [j1]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): 2:1-2:31 (2016) - 2015
- [c4]Erik D. Demaine, Tim Kaler, Quanquan C. Liu, Aaron Sidford, Adam Yedidia:
Polylogarithmic Fully Retroactive Priority Queues via Hierarchical Checkpointing. WADS 2015: 263-275 - 2014
- [c3]Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson:
Executing dynamic data-graph computations deterministically using chromatic scheduling. SPAA 2014: 154-165 - [c2]William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
Ordering heuristics for parallel graph coloring. SPAA 2014: 166-177 - 2010
- [c1]Tim Kaler, John Patrick Lynch, Timothy Peng, Lenin Ravindranath, Arvind Thiagarajan, Hari Balakrishnan, Samuel Madden:
Code in the air: simplifying sensing on smartphones. SenSys 2010: 407-408
Coauthor Index
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