עקוב אחר
Tao B. Schardl
Tao B. Schardl
Research Scientist in computer science, MIT CSAIL
כתובת אימייל מאומתת בדומיין mit.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
12632020
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?‏
CE Leiserson, NC Thompson, JS Emer, BC Kuszmaul, BW Lampson, ...‏
Science 368 (6495), eaam9744, 2020‏
5122020
A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers)‏
CE Leiserson, TB Schardl‏
Proceedings of the twenty-second annual ACM symposium on Parallelism in …, 2010‏
2732010
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
1382018
Tapir: Embedding fork-join parallelism into LLVM's intermediate representation‏
TB Schardl, WS Moses, CE Leiserson‏
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017‏
1292017
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
On-the-fly pipeline parallelism‏
ITA Lee, CE Leiserson, TB Schardl, Z Zhang, J Sukha‏
ACM Transactions on Parallel Computing (TOPC) 2 (3), 1-42, 2015‏
932015
Deterministic parallel random-number generation for dynamic-multithreading platforms‏
CE Leiserson, TB Schardl, J Sukha‏
ACM Sigplan Notices 47 (8), 193-204, 2012‏
682012
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
652022
The cilkprof scalability profiler‏
TB Schardl, BC Kuszmaul, ITA Lee, WM Leiserson, CE Leiserson‏
Proceedings of the 27th ACM Symposium on Parallelism in Algorithms and …, 2015‏
502015
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
Who needs crossings? Hardness of plane graph rigidity‏
Z Abel, ED Demaine, ML Demaine, S Eisenstat, J Lynch, TB Schardl‏
Dagstuhl Publishing, 2016‏
392016
Brief announcement: Open cilk‏
TB Schardl, ITA Lee, CE Leiserson‏
Proceedings of the 30th on Symposium on Parallelism in Algorithms and …, 2018‏
342018
Tapir: Embedding recursive fork-join parallelism into llvm’s intermediate representation‏
TB Schardl, WS Moses, CE Leiserson‏
ACM Transactions on Parallel Computing (TOPC) 6 (4), 1-33, 2019‏
312019
Opencilk: A modular and extensible software infrastructure for fast task-parallel code‏
TB Schardl, ITA Lee‏
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023‏
262023
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, 477-494, 2023‏
232023
The CSI framework for compiler-inserted program instrumentation‏
TB Schardl, T Denniston, D Doucet, BC Kuszmaul, ITA Lee, CE Leiserson‏
Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017‏
232017
On the efficiency of localized work stealing‏
W Suksompong, CE Leiserson, TB Schardl‏
Information Processing Letters 116 (2), 100-106, 2016‏
202016
Performance engineering of multicore software: Developing a science of fast code for the post-Moore era‏
TB Schardl‏
Massachusetts Institute of Technology, 2016‏
202016
Efficiently detecting races in cilk programs that use reducer hyperobjects‏
ITA Lee, TB Schardl‏
Proceedings of the 27th ACM Symposium on Parallelism in Algorithms and …, 2015‏
202015
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מאמרים 1–20